Xuanjing Huang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
369
Venues
18
Active years
2008–2026
Best venue rank
A*
Where they publish
Papers
Showing the 300 most recent indexed papers.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Explainable Synthetic Image Detection Through Diffusion Timestep Ensembling. | Yixin Wu, Feiran Zhang, Tianyuan Shi, Ruicheng Yin, Zhenghua Wang, Zhenliang Gan, Xiaohua Wang, Changze Lv, Xiaoqing Zheng, Xuanjing Huang |
| 2026 | AAAI | MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning. | Zhiheng Xi, Yuhui Wang, Yiwen Ding, Guanyu Li, Senjie Jin, Shichun Liu, Jixuan Huang, Dingwen Yang, Jiafu Tang, Boyang Hong, Junjie Ye, Shihan Dou, Ming Zhang, Jian Guan, Wei Wu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | From Scores to Preferences: Redefining Evaluation Paradigm for Speech Quality Reward Modeling. | Yifei Cao, Changhao Jiang, Jiabao Zhuang, Jiajun Sun, Ming Zhang, Zhiheng Xi, Hui Li, Shihan Dou, Yuran Wang, Yunke Zhang, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding. | Deming Ding, Shichun Liu, Enhui Yang, Jiahang Lin, Ziying Chen, Shihan Dou, Honglin Guo, Weiyu Cheng, Pengyu Zhao, Chengjun Xiao, Qunhong Zeng, Qi Zhang, Xuanjing Huang, Qidi Xu, Tao Gui |
| 2026 | ACL | LifeSim: Long-Horizon User Life Simulator for Personalized Assistant Evaluation. | Feiyu Duan, Xuanjing Huang, Zhongyu Wei |
| 2026 | ACL | Counteracting the Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing. | Xin Guo, Zhiheng Xi, Yiwen Ding, Yitao Zhai, Xiaowei Shi, Xunliang Cai, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | FinToolSyn: A forward synthesis Framework for Financial Tool-Use Dialogue Data with Dynamic Tool Retrieval. | Caishuang Huang, Yang Qiao, Rongyu Zhang, Junjie Ye, Pu Lu, Wenxi Wu, Meng Zhou, Xiku Du, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2026 | ACL | LLMs Deceive Unintentionally: Emergent Misalignment in Dishonesty from Misaligned Samples to Biased Human-AI Interactions. | Xuhao Hu, Peng Wang, Xiaoya Lu, Dongrui Liu, Xuanjing Huang, Jing Shao |
| 2026 | ACL | Muse: Towards Reproducible Long-Form Song Generation with Fine-Grained Style Control. | Changhao Jiang, Jiahao Chen, Zhenghao Xiang, Zhixiong Yang, Hanchen Wang, Jiabao Zhuang, Xinmeng Che, Jiajun Sun, Hui Li, Yifei Cao, Shihan Dou, Ming Zhang, Junjie Ye, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training. | Changhao Jiang, Ming Zhang, Yifei Cao, Junjie Ye, Xiaoran Fan, Shihan Dou, Zhiheng Xi, Jiajun Sun, Yi Dong, Yujiong Shen, Jingqi Tong, Baoyu Fan, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | MM-Doc-R1: Training Agents for Long Document Visual Question Answering through Multi-turn Reinforcement Learning. | Jiahang Lin, Kai Hu, Binghai Wang, Yuhao Zhou, Zhiheng Xi, Honglin Guo, Shichun Liu, Junzhe Wang, Shihan Dou, Enyu Zhou, Hang Yan, Zhenhua Han, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | DARM: Distribution-Aware Reward Modeling by Alleviating Biases from Low Preference-Context Dependency Data. | Shaofan Liu, Guoqiang Zhang, Shihan Dou, Huiyuan Zheng, Yiming Zhou, Junjie Ye, Shaowen Wang, Shichun Liu, Jiazheng Zhang, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling. | Zhenghua Wang, Yiran Ding, Changze Lv, Yixin Wu, Tianlong Li, Zhibo Xu, Muling Wu, Tianyuan Shi, Shizheng Li, Qi Qian, Xuanjing Huang, Xiaoqing Zheng |
| 2026 | ACL | Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models. | Binghai Wang, Yantao Liu, Yuxuan Liu, Tianyi Tang, Shenzhi Wang, Chang Gao, Chujie Zheng, Yichang Zhang, Le Yu, Shixuan Liu, Tao Gui, Qi Zhang, Xuanjing Huang, Bowen Yu, Fei Huang, Junyang Lin |
| 2026 | ACL | Mitigating Hallucinations in VLMs: Enhancing Visual Attention via Head-Wise Perturbation. | Zhenghua Wang, Yixin Wu, Feiran Zhang, Qi Qian, Changze Lv, Xuanjing Huang, Xiaoqing Zheng |
| 2026 | ACL | AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments. | Zhiheng Xi, Dingwen Yang, Jiaqi Liu, Jixuan Huang, Honglin Guo, Baodai Huang, Tinggang Chen, Qi Zhang, Zhonghang Lu, Chenyu Liu, Jiajun Sun, Jiazheng Zhang, Dingwei Zhu, Xin Guo, Junzhe Wang, Zhihao Zhang, Yuming Yang, Junjie Ye, Minghe Gao, Dongrui Liu, Jiaming Ji, Guohao Li, Tao Gui, Xuanjing Huang |
| 2026 | ACL | Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment. | Yuming Yang, Mingyoung Lai, Wanxu Zhao, Xiaoran Fan, Zhiheng Xi, Mingqi Wu, Chiyue Huang, Jun Zhao, Haijun Lv, Jian Tong, Yunhua Zhou, Yicheng Zou, Qipeng Guo, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | MulDimIF: A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models. | Junjie Ye, Caishuang Huang, Zhuohan Chen, Wenjie Fu, Chenyuan Yang, Leyi Yang, Yilong Wu, Peng Wang, Meng Zhou, Xiaolong Yang, Tao Gui, Qi Zhang, Zhongchao Shi, Jianping Fan, Xuanjing Huang |
| 2026 | ACL | Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments. | Junjie Ye, Changhao Jiang, Zhengyin Du, Yufei Xu, Xuesong Yao, Zhiheng Xi, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang, Jiecao Chen |
| 2026 | ACL | ARISE: An Adaptive Resolution-Aware Metric for Test-Time Scaling Evaluation in Large Reasoning Models. | Zhangyue Yin, Qiushi Sun, Zhiyuan Zeng, Zhiyuan Yu, Qipeng Guo, Xuanjing Huang, Xipeng Qiu |
| 2026 | ACL | AgentV-RL: Scaling Reward Modeling with Agentic Verifier. | Jiazheng Zhang, Ziche Fu, Zhiheng Xi, Wenqing Jing, Mingxu Chai, Wei He, Guoqiang Zhang, Chenghao Fan, Chenxin An, Wenxiang Chen, Zhicheng Liu, Haojie Pan, Dingwei Zhu, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models. | Ming Zhang, Yujiong Shen, Jingyi Deng, Yuhui Wang, Huayu Sha, Kexin Tan, Qiyuan Peng, Yue Zhang, Junzhe Wang, Shichun Liu, Yueyuan Huang, Jingqi Tong, Changhao Jiang, Yilong Wu, Zhihao Zhang, Mingqi Wu, Mingxu Chai, Zhiheng Xi, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | ACL | VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck. | Feiran Zhang, Yixin Wu, Zhenghua Wang, Xiaohua Wang, Changze Lv, Xuanjing Huang, Xiaoqing Zheng |
| 2026 | ACL | Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models. | Hengyuan Zhang, Zhihao Zhang, Ercong Nie, Mingyang Wang, Zunhai Su, Yiwei Wang, Qianli Wang, Shuzhou Yuan, Xufeng Duan, Qibo Xue, Zeping Yu, Chenming Shang, Xiao Liang, Jing Xiong, Hui Shen, Chaofan Tao, Zhengwu Liu, Senjie Jin, Zhiheng Xi, Dongdong Zhang, Sophia Ananiadou, Tao Gui, Ruobing Xie, Hayden Kwok-Hay So, Hinrich Schtze, Xuanjing Huang, Qi Zhang, Ngai Wong |
| 2026 | ACL | VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training. | Dingwei Zhu, Shihan Dou, Zhiheng Xi, Senjie Jin, Guoqiang Zhang, Jiazheng Zhang, Junjie Ye, Mingxu Chai, Enyu Zhou, Ming Zhang, Yuhui Wang, Caishuang Huang, Chenhao Huang, Yunke Zhang, Yuran Wang, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang |
| 2025 | AAAI | Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning. | Shihan Dou, Yan Liu, Enyu Zhou, Songyang Gao, Tianlong Li, Limao Xiong, Xin Zhao, Haoxiang Jia, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | AAAI | COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism. | Jianing He, Qi Zhang, Hongyun Zhang, Xuanjing Huang, Usman Naseem, Duoqian Miao |
| 2025 | AAAI | Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks. | Shengbin Yue, Siyuan Wang, Wei Chen, Xuanjing Huang, Zhongyu Wei |
| 2025 | ACL | EvoWiki: Evaluating LLMs on Evolving Knowledge. | Wei Tang, Yixin Cao, Yang Deng, Jiahao Ying, Bo Wang, Yizhe Yang, Yuyue Zhao, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang, Yong Liao |
| 2025 | ACL | Better Process Supervision with Bi-directional Rewarding Signals. | Wenxiang Chen, Wei He, Zhiheng Xi, Honglin Guo, Boyang Hong, Jiazheng Zhang, Nijun Li, Tao Gui, Yun Li, Qi Zhang, Xuanjing Huang |
| 2025 | ACL | Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling. | Shihan Dou, Jiayi Chen, Chenhao Huang, Feng Chen, Wei Chengzhi, Huiyuan Zheng, Shichun Liu, Yan Liu, Chenxiao Liu, Chao Xin, Lin Yan, Zongzhang Zhang, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | ACL | Multi-Programming Language Sandbox for LLMs. | Shihan Dou, Jiazheng Zhang, Jianxiang Zang, Yunbo Tao, Weikang Zhou, Haoxiang Jia, Shichun Liu, Yuming Yang, Shenxi Wu, Zhiheng Xi, Muling Wu, Rui Zheng, Changze Lv, Limao Xiong, Shaoqing Zhang, Lin Zhang, Wenyu Zhan, Rongxiang Weng, Jingang Wang, Xunliang Cai, Yueming Wu, Ming Wen, Yixin Cao, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang |
| 2025 | ACL | VLSBench: Unveiling Visual Leakage in Multimodal Safety. | Xuhao Hu, Dongrui Liu, Hao Li, Xuanjing Huang, Jing Shao |
| 2025 | ACL | Tell Me What You Don't Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing. | Wenhao Liu, Siyu An, Junru Lu, Muling Wu, Tianlong Li, Xiaohua Wang, Changze Lv, Xiaoqing Zheng, Di Yin, Xing Sun, Xuanjing Huang |
| 2025 | ACL | HAF-RM: A Hybrid Alignment Framework for Reward Model Training. | Shujun Liu, Xiaoyu Shen, Yuhang Lai, Siyuan Wang, Shengbin Yue, Zengfeng Huang, Xuanjing Huang, Zhongyu Wei |
| 2025 | ACL | TripTailor: A Real-World Benchmark for Personalized Travel Planning. | Kaimin Wang, Yuanzhe Shen, Changze Lv, Xiaoqing Zheng, Xuanjing Huang |
| 2025 | ACL | Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference. | Siyuan Wang, Dianyi Wang, Chengxing Zhou, Zejun Li, Zhihao Fan, Xuanjing Huang, Zhongyu Wei |
| 2025 | ACL | AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments. | Zhiheng Xi, Yiwen Ding, Wenxiang Chen, Boyang Hong, Honglin Guo, Junzhe Wang, Xin Guo, Dingwen Yang, Chenyang Liao, Wei He, Songyang Gao, Lu Chen, Rui Zheng, Yicheng Zou, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang |
| 2025 | ACL | Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric. | Yuming Yang, Yang Nan, Junjie Ye, Shihan Dou, Xiao Wang, Shuo Li, Huijie Lv, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | ACL | ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use. | Junjie Ye, Zhengyin Du, Xuesong Yao, Weijian Lin, Yufei Xu, Zehui Chen, Zaiyuan Wang, Sining Zhu, Zhiheng Xi, Siyu Yuan, Tao Gui, Qi Zhang, Xuanjing Huang, Jiecao Chen |
| 2025 | ACL | Improving Continual Pre-training Through Seamless Data Packing. | Ruicheng Yin, Xuan Gao, Changze Lv, Xiaohua Wang, Xiaoqing Zheng, Xuanjing Huang |
| 2025 | ACL | Dynamic and Generalizable Process Reward Modeling. | Zhangyue Yin, Qiushi Sun, Zhiyuan Zeng, Qinyuan Cheng, Xipeng Qiu, Xuanjing Huang |
| 2025 | ACL | PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts. | Ming Zhang, Yuhui Wang, Yujiong Shen, Tingyi Yang, Changhao Jiang, Yilong Wu, Shihan Dou, Qinhao Chen, Zhiheng Xi, Zhihao Zhang, Yi Dong, Zhen Wang, Zhihui Fei, Mingyang Wan, Tao Liang, Guojun Ma, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2025 | AISTATS | Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners. | Yuxin Wang, Botian Jiang, Yiran Guo, Quan Gan, David Wipf, Xuanjing Huang, Xipeng Qiu |
| 2025 | CogSci | SpikeBERT: A Language Understanding Spiking Neural Network Learned from BERT with Knowledge Distillation. | Changze Lv, Tianlong Li, Xiaohua Wang, Muling Wu, Wenhao Liu, Shihan Dou, Xiaoqing Zheng, Xuanjing Huang |
| 2025 | COLING | AI-Press: A Multi-Agent News Generating and Feedback Simulation System Powered by Large Language Models. | Xiawei Liu, Shiyue Yang, Xinnong Zhang, Haoyu Kuang, Libo Sun, Yihang Yang, Siming Chen, Xuanjing Huang, Zhongyu Wei |
| 2025 | COLING | Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective. | Tianlong Li, Zhenghua Wang, Wenhao Liu, Muling Wu, Shihan Dou, Changze Lv, Xiaohua Wang, Xiaoqing Zheng, Xuanjing Huang |
| 2025 | COLING | Case2Code: Scalable Synthetic Data for Code Generation. | Yunfan Shao, Linyang Li, Yichuan Ma, Peiji Li, Demin Song, Qinyuan Cheng, Shimin Li, Xiaonan Li, Pengyu Wang, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin |
| 2025 | COLING | Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation. | Siyuan Wang, Zhuohan Long, Zhihao Fan, Xuanjing Huang, Zhongyu Wei |
| 2025 | COLING | Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition. | Yuming Yang, Wantong Zhao, Caishuang Huang, Junjie Ye, Xiao Wang, Huiyuan Zheng, Yang Nan, Yuran Wang, Xueying Xu, Kaixin Huang, Yunke Zhang, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | COLING | ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios. | Junjie Ye, Guanyu Li, Songyang Gao, Caishuang Huang, Yilong Wu, Sixian Li, Xiaoran Fan, Shihan Dou, Tao Ji, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2025 | CVPR | SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Models. | Yongting Zhang, Lu Chen, Guodong Zheng, Yifeng Gao, Rui Zheng, Jinlan Fu, Zhenfei Yin, Senjie Jin, Yu Qiao, Xuanjing Huang, Feng Zhao, Tao Gui, Jing Shao |
| 2025 | EMNLP | Distill Visual Chart Reasoning Ability from LLMs to MLLMs. | Wei He, Zhiheng Xi, Wanxu Zhao, Xiaoran Fan, Yiwen Ding, Zifei Shan, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | Governance in Motion: Co-evolution of Constitutions and AI models for Scalable Safety. | Chenhao Huang, Ziyu Shen, Yicong Ren, Huiyuan Zheng, Jiazheng Zhang, Mingxu Chai, Ming Zhang, Shihan Dou, Fan Mo, Jie Shi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning. | Senjie Jin, Lu Chen, Zhiheng Xi, Yuhui Wang, Sirui Song, Yuhao Zhou, Xinbo Zhang, Peng Sun, Hong Lu, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | UPLex: Fine-Grained Personality Control in Large Language Models via Unsupervised Lexical Modulation. | Tianlong Li, Wenhao Liu, Muling Wu, Shihan Dou, Zhenghua Wang, Changze Lv, Xiaohua Wang, Xiaoqing Zheng, Xuanjing Huang |
| 2025 | EMNLP | Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations. | Shuo Li, Jiajun Sun, Guodong Zheng, Xiaoran Fan, Yujiong Shen, Yi Lu, Zhiheng Xi, Yuming Yang, Wenming Tan, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | LoRACoE: Improving Large Language Model via Composition-based LoRA Expert. | Guanyu Li, Zhiheng Xi, Zhihao Zhang, Boyang Hong, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation. | Tianjiao Li, Mengran Yu, Chenyu Shi, Yanjun Zhao, Xiaojing Liu, Qi Zhang, Xuanjing Huang, Qiang Zhang, Jiayin Wang |
| 2025 | EMNLP | EcoLANG: Efficient and Effective Agent Communication Language Induction for Social Simulation. | Xinyi Mou, Chen Qian, Wei Liu, Ling Yan, Yao Hu, Xuanjing Huang, Zhongyu Wei |
| 2025 | EMNLP | SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading. | Yuanzhe Shen, Yide Liu, Zisu Huang, Ruicheng Yin, Xiaoqing Zheng, Xuanjing Huang |
| 2025 | EMNLP | Enhancing Model Privacy in Federated Learning with Random Masking and Quantization. | Zhibo Xu, Jianhao Zhu, Jingwen Xu, Changze Lv, Zhenghua Wang, Zisu Huang, Xiaohua Wang, Muling Wu, Qi Qian, Xiaoqing Zheng, Xuanjing Huang |
| 2025 | EMNLP | VehicleWorld: A Highly Integrated Multi-Device Environment for Intelligent Vehicle Interaction. | Jie Yang, Jiajun Chen, Zhangyue Yin, Shuo Chen, Yuxin Wang, Yiran Guo, Yuan Li, Yining Zheng, Xuanjing Huang, Xipeng Qiu |
| 2025 | EMNLP | TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use. | Junjie Ye, Yilong Wu, Sixian Li, Yuming Yang, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang, Peng Wang, Zhongchao Shi, Jianping Fan, Zhengyin Du |
| 2025 | EMNLP | Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels. | Junjie Ye, Yuming Yang, Yang Nan, Shuo Li, Qi Zhang, Tao Gui, Xuanjing Huang, Peng Wang, Zhongchao Shi, Jianping Fan |
| 2025 | EMNLP | Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive Framework. | Zhangyue Yin, Yuhong Sun, Xuanjing Huang, Xipeng Qiu, Hui Zhao |
| 2025 | EMNLP | LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation. | Ming Zhang, Yujiong Shen, Zelin Li, Huayu Sha, Binze Hu, Yuhui Wang, Chenhao Huang, Shichun Liu, Jingqi Tong, Changhao Jiang, Mingxu Chai, Zhiheng Xi, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | Toward Optimal LLM Alignments Using Two-Player Games. | Rui Zheng, Hongyi Guo, Zhihan Liu, Xiaoying Zhang, Yuanshun Yao, Xiaojun Xu, Zhaoran Wang, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang, Yang Liu, Hang Li |
| 2025 | ICCV | ObjectRelator: Enabling Cross-View Object Relation Understanding Across Ego-Centric and Exo-Centric Perspectives. | Yuqian Fu, Runze Wang, Bin Ren, Guolei Sun, Biao Gong, Yanwei Fu, Danda Pani Paudel, Xuanjing Huang, Luc Van Gool |
| 2025 | ICLR | Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs. | Shuo Li, Tao Ji, Xiaoran Fan, Linsheng Lu, Leyi Yang, Yuming Yang, Zhiheng Xi, Rui Zheng, Yuran Wang, Xiaohui Zhao, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | ICLR | RMB: Comprehensively benchmarking reward models in LLM alignment. | Enyu Zhou, Guodong Zheng, Binghai Wang, Zhiheng Xi, Shihan Dou, Rong Bao, Wei Shen, Limao Xiong, Jessica Fan, Yurong Mou, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | AAAI | LLMEval: A Preliminary Study on How to Evaluate Large Language Models. | Yue Zhang, Ming Zhang, Haipeng Yuan, Shichun Liu, Yongyao Shi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ACL | Making Harmful Behaviors Unlearnable for Large Language Models. | Xin Zhou, Yi Lu, Ruotian Ma, Yujian Wei, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ACL | StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback. | Shihan Dou, Yan Liu, Haoxiang Jia, Enyu Zhou, Limao Xiong, Junjie Shan, Caishuang Huang, Xiao Wang, Xiaoran Fan, Zhiheng Xi, Yuhao Zhou, Tao Ji, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | ACL | LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin. | Shihan Dou, Enyu Zhou, Yan Liu, Songyang Gao, Wei Shen, Limao Xiong, Yuhao Zhou, Xiao Wang, Zhiheng Xi, Xiaoran Fan, Shiliang Pu, Jiang Zhu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ACL | EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models. | Mengfei Du, Binhao Wu, Zejun Li, Xuanjing Huang, Zhongyu Wei |
| 2024 | ACL | ALaRM: Align Language Models via Hierarchical Rewards Modeling. | Yuhang Lai, Siyuan Wang, Shujun Liu, Xuanjing Huang, Zhongyu Wei |
| 2024 | ACL | Debatrix: Multi-dimensional Debate Judge with Iterative Chronological Analysis Based on LLM. | Jingcong Liang, Rong Ye, Meng Han, Ruofei Lai, Xinyu Zhang, Xuanjing Huang, Zhongyu Wei |
| 2024 | ACL | Aligning Large Language Models with Human Preferences through Representation Engineering. | Wenhao Liu, Xiaohua Wang, Muling Wu, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang |
| 2024 | ACL | Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation. | Xinyi Mou, Zhongyu Wei, Xuanjing Huang |
| 2024 | ACL | Navigating the OverKill in Large Language Models. | Chenyu Shi, Xiao Wang, Qiming Ge, Songyang Gao, Xianjun Yang, Tao Gui, Qi Zhang, Xuanjing Huang, Xun Zhao, Dahua Lin |
| 2024 | ACL | F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods. | Yu Sun, Keyuchen Keyuchen, Shujie Wang, Peiji Li, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin |
| 2024 | ACL | Length Generalization of Causal Transformers without Position Encoding. | Jie Wang, Tao Ji, Yuanbin Wu, Hang Yan, Tao Gui, Qi Zhang, Xuanjing Huang, Xiaoling Wang |
| 2024 | ACL | LLM can Achieve Self-Regulation via Hyperparameter Aware Generation. | Siyin Wang, Shimin Li, Tianxiang Sun, Jinlan Fu, Qinyuan Cheng, Jiasheng Ye, Junjie Ye, Xipeng Qiu, Xuanjing Huang |
| 2024 | ACL | Advancing Parameter Efficiency in Fine-tuning via Representation Editing. | Muling Wu, Wenhao Liu, Xiaohua Wang, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang |
| 2024 | ACL | Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild. | Ting Wu, Jingyi Liu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ACL | ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages. | Junjie Ye, Sixian Li, Guanyu Li, Caishuang Huang, Songyang Gao, Yilong Wu, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | ACL | Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance. | Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Junqi Dai, Qinyuan Cheng, Xuanjing Huang, Xipeng Qiu |
| 2024 | ACL | SoMeLVLM: A Large Vision Language Model for Social Media Processing. | Xinnong Zhang, Haoyu Kuang, Xinyi Mou, Hanjia Lyu, Kun Wu, Siming Chen, Jiebo Luo, Xuanjing Huang, Zhongyu Wei |
| 2024 | ACL | Unveiling Linguistic Regions in Large Language Models. | Zhihao Zhang, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | COLING | DELAN: Dual-Level Alignment for Vision-and-Language Navigation by Cross-Modal Contrastive Learning. | Mengfei Du, Binhao Wu, Jiwen Zhang, Zhihao Fan, Zejun Li, Ruipu Luo, Xuanjing Huang, Zhongyu Wei |
| 2024 | COLING | Multi-Objective Forward Reasoning and Multi-Reward Backward Refinement for Product Review Summarization. | Libo Sun, Siyuan Wang, Meng Han, Ruofei Lai, Xinyu Zhang, Xuanjing Huang, Zhongyu Wei |
| 2024 | COLING | Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis. | Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | COLING | PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph. | Kun Wu, Xinyi Mou, Lanqing Xue, Zhenzhe Ying, Weiqiang Wang, Qi Zhang, Xuanjing Huang, Zhongyu Wei |
| 2024 | COLING | Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models. | Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Tianxiang Sun, Cheng Chang, Qinyuan Cheng, Ding Wang, Xiaofeng Mou, Xipeng Qiu, Xuanjing Huang |
| 2024 | COLING | RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions. | Yuansen Zhang, Xiao Wang, Zhiheng Xi, Han Xia, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | COLING | Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals. | Rui Zheng, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | COLING | ORTicket: Let One Robust BERT Ticket Transfer across Different Tasks. | Yuhao Zhou, Wenxiang Chen, Rui Zheng, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | DASFAA | LawLLM: Intelligent Legal System with Legal Reasoning and Verifiable Retrieval. | Shengbin Yue, Shujun Liu, Yuxuan Zhou, Chenchen Shen, Siyuan Wang, Yao Xiao, Bingxuan Li, Yun Song, Xiaoyu Shen, Wei Chen, Xuanjing Huang, Zhongyu Wei |
| 2024 | EMNLP | PDF-to-Tree: Parsing PDF Text Blocks into a Tree. | Yue Zhang, Zhihao Zhang, Wenbin Lai, Chong Zhang, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration. | Jun Zhao, Can Zu, Xu Hao, Yi Lu, Wei He, Yiwen Ding, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning. | Lu Chen, Rui Zheng, Binghai Wang, Senjie Jin, Caishuang Huang, Junjie Ye, Zhihao Zhang, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | Scaling Laws for Fact Memorization of Large Language Models. | Xingyu Lu, Xiaonan Li, Qinyuan Cheng, Kai Ding, Xuanjing Huang, Xipeng Qiu |
| 2024 | EMNLP | LongHeads: Multi-Head Attention is Secretly a Long Context Processor. | Yi Lu, Xin Zhou, Wei He, Jun Zhao, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | Searching for Best Practices in Retrieval-Augmented Generation. | Xiaohua Wang, Zhenghua Wang, Xuan Gao, Feiran Zhang, Yixin Wu, Zhibo Xu, Tianyuan Shi, Zhengyuan Wang, Shizheng Li, Qi Qian, Ruicheng Yin, Changze Lv, Xiaoqing Zheng, Xuanjing Huang |
| 2024 | EMNLP | Reward Modeling Requires Automatic Adjustment Based on Data Quality. | Binghai Wang, Rui Zheng, Lu Chen, Zhiheng Xi, Wei Shen, Yuhao Zhou, Dong Yan, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data. | Han Xia, Songyang Gao, Qiming Ge, Zhiheng Xi, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning. | Junjie Ye, Yilong Wu, Songyang Gao, Caishuang Huang, Sixian Li, Guanyu Li, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | EMNLP | LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement. | Jiahao Ying, Mingbao Lin, Yixin Cao, Wei Tang, Bo Wang, Qianru Sun, Xuanjing Huang, Shuicheng Yan |
| 2024 | EMNLP | Explicit Memory Learning with Expectation Maximization. | Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Qinyuan Cheng, Xipeng Qiu, Xuanjing Huang |
| 2024 | EMNLP | TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities. | Ming Zhang, Caishuang Huang, Yilong Wu, Shichun Liu, Huiyuan Zheng, Yurui Dong, Yujiong Shen, Shihan Dou, Jun Zhao, Junjie Ye, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | EMNLP | Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems. | Jun Zhao, Jingqi Tong, Yurong Mou, Ming Zhang, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs. | Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | EMNLP | Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation. | Qin Zhu, Qinyuan Cheng, Runyu Peng, Xiaonan Li, Ru Peng, Tengxiao Liu, Xipeng Qiu, Xuanjing Huang |
| 2024 | EMNLP | Promoting Data and Model Privacy in Federated Learning through Quantized LoRA. | Jianhao Zhu, Changze Lv, Xiaohua Wang, Muling Wu, Wenhao Liu, Tianlong Li, Zixuan Ling, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang |
| 2024 | ICASSP | A Soft Contrastive Learning-Based Prompt Model for Few-Shot Sentiment Analysis. | Jingyi Zhou, Jie Zhou, Jiabao Zhao, Siyin Wang, Haijun Shan, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ICLR | Improving Generalization of Alignment with Human Preferences through Group Invariant Learning. | Rui Zheng, Wei Shen, Yuan Hua, Wenbin Lai, Shihan Dou, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Haoran Huang, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2023 | ACL | UTC-IE: A Unified Token-pair Classification Architecture for Information Extraction. | Hang Yan, Yu Sun, Xiaonan Li, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu |
| 2023 | ACL | KNSE: A Knowledge-aware Natural Language Inference Framework for Dialogue Symptom Status Recognition. | Wei Chen, Shiqi Wei, Zhongyu Wei, Xuanjing Huang |
| 2023 | ACL | TableVLM: Multi-modal Pre-training for Table Structure Recognition. | Leiyuan Chen, Chengsong Huang, Xiaoqing Zheng, Jinshu Lin, Xuanjing Huang |
| 2023 | ACL | On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection. | Songyang Gao, Shihan Dou, Qi Zhang, Xuanjing Huang, Jin Ma, Ying Shan |
| 2023 | ACL | DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models. | Zhengfu He, Tianxiang Sun, Qiong Tang, Kuanning Wang, Xuanjing Huang, Xipeng Qiu |
| 2023 | ACL | Unifying Cross-Lingual and Cross-Modal Modeling Towards Weakly Supervised Multilingual Vision-Language Pre-training. | Zejun Li, Zhihao Fan, Jingjing Chen, Qi Zhang, Xuanjing Huang, Zhongyu Wei |
| 2023 | ACL | Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations. | Zixuan Ling, Xiaoqing Zheng, Jianhan Xu, Jinshu Lin, Kai-Wei Chang, Cho-Jui Hsieh, Xuanjing Huang |
| 2023 | ACL | CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors. | Peng Li, Tianxiang Sun, Qiong Tang, Hang Yan, Yuanbin Wu, Xuanjing Huang, Xipeng Qiu |
| 2023 | ACL | UPPAM: A Unified Pre-training Architecture for Political Actor Modeling based on Language. | Xinyi Mou, Zhongyu Wei, Qi Zhang, Xuanjing Huang |
| 2023 | ACL | Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning. | Tianxiang Sun, Zhengfu He, Qin Zhu, Xipeng Qiu, Xuanjing Huang |
| 2023 | ACL | Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs. | Siyuan Wang, Zhongyu Wei, Meng Han, Zhihao Fan, Haijun Shan, Qi Zhang, Xuanjing Huang |
| 2023 | ACL | Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization. | Ting Wu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2023 | ACL | A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. | Limao Xiong, Jie Zhou, Qunxi Zhu, Xiao Wang, Yuanbin Wu, Qi Zhang, Tao Gui, Xuanjing Huang, Jin Ma, Ying Shan |
| 2023 | ACL | Connectivity Patterns are Task Embeddings. | Zhiheng Xi, Rui Zheng, Yuansen Zhang, Xuanjing Huang, Zhongyu Wei, Minlong Peng, Mingming Sun, Qi Zhang, Tao Gui |
| 2023 | ACL | Do Large Language Models Know What They Don't Know? | Zhangyue Yin, Qiushi Sun, Qipeng Guo, Jiawen Wu, Xipeng Qiu, Xuanjing Huang |
| 2023 | ACL | Open Set Relation Extraction via Unknown-Aware Training. | Jun Zhao, Xin Zhao, WenYu Zhan, Qi Zhang, Tao Gui, Zhongyu Wei, Yun Wen Chen, Xiang Gao, Xuanjing Huang |
| 2023 | ACL | Detecting Adversarial Samples through Sharpness of Loss Landscape. | Rui Zheng, Shihan Dou, Yuhao Zhou, Qin Liu, Tao Gui, Qi Zhang, Zhongyu Wei, Xuanjing Huang, Menghan Zhang |
| 2023 | ACL | Characterizing the Impacts of Instances on Robustness. | Rui Zheng, Zhiheng Xi, Qin Liu, Wenbin Lai, Tao Gui, Qi Zhang, Xuanjing Huang, Jin Ma, Ying Shan, Weifeng Ge |
| 2023 | ACL | TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations. | Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Yuran Wang, Yong Ding, Yibo Zhang, Qi Zhang, Xuanjing Huang |
| 2023 | ACML | Graph Structure Learning via Lottery Hypothesis at Scale. | Yuxin Wang, Xiannian Hu, Jiaqing Xie, Zhangyue Yin, Yunhua Zhou, Xipeng Qiu, Xuanjing Huang |
| 2023 | EMNLP | Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation. | Chenxi Gu, Xiaoqing Zheng, Jianhan Xu, Muling Wu, Cenyuan Zhang, Chengsong Huang, Hua Cai, Xuanjing Huang |
| 2023 | EMNLP | Unleashing the Power of Language Models in Text-Attributed Graph. | Haoyu Kuang, Jiarong Xu, Haozhe Zhang, Zuyu Zhao, Qi Zhang, Xuanjing Huang, Zhongyu Wei |
| 2023 | EMNLP | Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining. | Jingcong Liang, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei |
| 2023 | EMNLP | Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation. | Jiayu Lin, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei |
| 2023 | EMNLP | Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View. | Ruotian Ma, Xiaolei Wang, Xin Zhou, Qi Zhang, Xuanjing Huang |
| 2023 | EMNLP | One-Model-Connects-All: A Unified Graph Pre-Training Model for Online Community Modeling. | Ruoxue Ma, Jiarong Xu, Xinnong Zhang, Haozhe Zhang, Zuyu Zhao, Qi Zhang, Xuanjing Huang, Zhongyu Wei |
| 2023 | EMNLP | Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback. | Wei Shen, Rui Zheng, WenYu Zhan, Jun Zhao, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2023 | EMNLP | Orthogonal Subspace Learning for Language Model Continual Learning. | Xiao Wang, Tianze Chen, Qiming Ge, Han Xia, Rong Bao, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2023 | EMNLP | Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation. | Xiaohua Wang, Yuliang Yan, Longtao Huang, Xiaoqing Zheng, Xuanjing Huang |
| 2023 | EMNLP | Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts. | Muling Wu, Wenhao Liu, Jianhan Xu, Changze Lv, Zixuan Ling, Tianlong Li, Longtao Huang, Xiaoqing Zheng, Xuanjing Huang |
| 2023 | EMNLP | Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement. | Zhiheng Xi, Senjie Jin, Yuhao Zhou, Rui Zheng, Songyang Gao, Jia Liu, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2023 | EMNLP | Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization. | Ningyu Xu, Qi Zhang, Jingting Ye, Menghan Zhang, Xuanjing Huang |
| 2023 | EMNLP | Measure Children's Mindreading Ability with Machine Reading. | Yuliang Yan, Xiaohua Wang, Xiang Zhou, Xiaoqing Zheng, Xuanjing Huang |
| 2023 | EMNLP | RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification. | Junjie Ye, Jie Zhou, Junfeng Tian, Rui Wang, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2023 | EMNLP | Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication. | Zhangyue Yin, Qiushi Sun, Cheng Chang, Qipeng Guo, Junqi Dai, Xuanjing Huang, Xipeng Qiu |
| 2023 | EMNLP | TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference. | Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2023 | EMNLP | Inductive Relation Inference of Knowledge Graph Enhanced by Ontology Information. | Wentao Zhou, Jun Zhao, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2023 | EMNLP | RealBehavior: A Framework for Faithfully Characterizing Foundation Models' Human-like Behavior Mechanisms. | Enyu Zhou, Rui Zheng, Zhiheng Xi, Songyang Gao, Xiaoran Fan, Zichu Fei, Jingting Ye, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2022 | ACL | CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation. | Zichu Fei, Qi Zhang, Tao Gui, Di Liang, Sirui Wang, Wei Wu, Xuanjing Huang |
| 2022 | ACL | Flooding-X: Improving BERT's Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning. | Qin Liu, Rui Zheng, Bao Rong, Jingyi Liu, Zhihua Liu, Zhanzhan Cheng, Liang Qiao, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2022 | ACL | A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation. | Tianxiang Sun, Xiangyang Liu, Wei Zhu, Zhichao Geng, Lingling Wu, Yilong He, Yuan Ni, Guotong Xie, Xuanjing Huang, Xipeng Qiu |
| 2022 | ACL | MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective. | Xiao Wang, Shihan Dou, Limao Xiong, Yicheng Zou, Qi Zhang, Tao Gui, Liang Qiao, Zhanzhan Cheng, Xuanjing Huang |
| 2022 | ACL | Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples. | Jianhan Xu, Cenyuan Zhang, Xiaoqing Zheng, Linyang Li, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang |
| 2022 | ACL | Robust Lottery Tickets for Pre-trained Language Models. | Rui Zheng, Bao Rong, Yuhao Zhou, Di Liang, Sirui Wang, Wei Wu, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2022 | COLING | CoLo: A Contrastive Learning Based Re-ranking Framework for One-Stage Summarization. | Chenxin An, Ming Zhong, Zhiyong Wu, Qin Zhu, Xuanjing Huang, Xipeng Qiu |
| 2022 | COLING | A Progressive Framework for Role-Aware Rumor Resolution. | Lei Chen, Guanying Li, Zhongyu Wei, Yang Yang, Baohua Zhou, Qi Zhang, Xuanjing Huang |
| 2022 | COLING | Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective. | Shihan Dou, Rui Zheng, Ting Wu, Songyang Gao, Junjie Shan, Qi Zhang, Yueming Wu, Xuanjing Huang |
| 2022 | COLING | LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases. | Zichu Fei, Xin Zhou, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2022 | COLING | Improving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning. | Zhichao Geng, Ming Zhong, Zhangyue Yin, Xipeng Qiu, Xuanjing Huang |
| 2022 | COLING | A Structure-Aware Argument Encoder for Literature Discourse Analysis. | Yinzi Li, Wei Chen, Zhongyu Wei, Yujun Huang, Chujun Wang, Siyuan Wang, Qi Zhang, Xuanjing Huang, Libo Wu |
| 2022 | COLING | Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering. | Siyuan Wang, Zhongyu Wei, Zhihao Fan, Qi Zhang, Xuanjing Huang |
| 2022 | COLING | Causal Intervention Improves Implicit Sentiment Analysis. | Siyin Wang, Jie Zhou, Changzhi Sun, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2022 | COLING | PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack. | Rui Zheng, Rong Bao, Qin Liu, Tao Gui, Qi Zhang, Xuanjing Huang, Rui Xie, Wei Wu |
| 2022 | COLING | Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks. | Xin Zhou, Ruotian Ma, Yicheng Zou, Xuanting Chen, Tao Gui, Qi Zhang, Xuanjing Huang, Rui Xie, Wei Wu |
| 2022 | COLING | A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck. | Jie Zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang |
| 2022 | EMNLP | ProofInfer: Generating Proof via Iterative Hierarchical Inference. | Zichu Fei, Qi Zhang, Xin Zhou, Tao Gui, Xuanjing Huang |
| 2022 | EMNLP | Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding. | Songyang Gao, Shihan Dou, Qi Zhang, Xuanjing Huang |
| 2022 | EMNLP | Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts. | Xiangyang Liu, Tianxiang Sun, Xuanjing Huang, Xipeng Qiu |
| 2022 | EMNLP | BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation. | Tianxiang Sun, Junliang He, Xipeng Qiu, Xuanjing Huang |
| 2022 | EMNLP | BBTv2: Towards a Gradient-Free Future with Large Language Models. | Tianxiang Sun, Zhengfu He, Hong Qian, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu |
| 2022 | EMNLP | Efficient Adversarial Training with Robust Early-Bird Tickets. | Zhiheng Xi, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2022 | EMNLP | Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer? | Ningyu Xu, Tao Gui, Ruotian Ma, Qi Zhang, Jingting Ye, Menghan Zhang, Xuanjing Huang |
| 2022 | EMNLP | Weight Perturbation as Defense against Adversarial Word Substitutions. | Jianhan Xu, Linyang Li, Jiping Zhang, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh, Xuanjing Huang |
| 2022 | EMNLP | TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion. | Xin Zhou, Jinzhu Lu, Tao Gui, Ruotian Ma, Zichu Fei, Yuran Wang, Yong Ding, Yibo Cheung, Qi Zhang, Xuanjing Huang |
| 2021 | AAAI | Enhancing Scientific Papers Summarization with Citation Graph. | Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang |
| 2021 | AAAI | An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-level Structural Information. | Zejun Li, Zhongyu Wei, Zhihao Fan, Haijun Shan, Xuanjing Huang |
| 2021 | AAAI | Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders. | Yicheng Zou, Jun Lin, Lujun Zhao, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu |
| 2021 | AAAI | Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling. | Yicheng Zou, Lujun Zhao, Yangyang Kang, Jun Lin, Minlong Peng, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu |
| 2021 | ACL | SpanNER: Named Entity Re-/Recognition as Span Prediction. | Jinlan Fu, Xuanjing Huang, Pengfei Liu |
| 2021 | ACL | fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP. | Zhichao Geng, Hang Yan, Xipeng Qiu, Xuanjing Huang |
| 2021 | ACL | Accelerating BERT Inference for Sequence Labeling via Early-Exit. | Xiaonan Li, Yunfan Shao, Tianxiang Sun, Hang Yan, Xipeng Qiu, Xuanjing Huang |
| 2021 | ACL | Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models. | Chong Li, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang |
| 2021 | ACL | SENT: Sentence-level Distant Relation Extraction via Negative Training. | Ruotian Ma, Tao Gui, Linyang Li, Qi Zhang, Xuanjing Huang, Yaqian Zhou |
| 2021 | ACL | Align Voting Behavior with Public Statements for Legislator Representation Learning. | Xinyi Mou, Zhongyu Wei, Lei Chen, Shangyi Ning, Yancheng He, Changjian Jiang, Xuanjing Huang |
| 2021 | ACL | TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing. | Xiao Wang, Qin Liu, Tao Gui, Qi Zhang, Yicheng Zou, Xin Zhou, Jiacheng Ye, Yongxin Zhang, Rui Zheng, Zexiong Pang, Qinzhuo Wu, Zhengyan Li, Chong Zhang, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xingwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Shan Qin, Bolin Zhu, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei, Xipeng Qiu, Xuanjing Huang |
| 2021 | ACL | K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. | Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang, Ming Zhou |
| 2021 | ACL | Math Word Problem Solving with Explicit Numerical Values. | Qinzhuo Wu, Qi Zhang, Zhongyu Wei, Xuanjing Huang |
| 2021 | ACL | Attending via both Fine-tuning and Compressing. | Jie Zhou, Yuanbin Wu, Qin Chen, Xuanjing Huang, Liang He |
| 2021 | ACL | Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble. | Yi Zhou, Xiaoqing Zheng, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang |
| 2021 | CIKM | Fine-Grained Element Identification in Complaint Text of Internet Fraud. | Tong Liu, Siyuan Wang, Jingchao Fu, Lei Chen, Zhongyu Wei, Yaqi Liu, Heng Ye, Liaosa Xu, Weiqiang Wang, Xuanjing Huang |
| 2020 | AAAI | Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with | Tao Gui, Lizhi Qing, Qi Zhang, Jiacheng Ye, Hang Yan, Zichu Fei, Xuanjing Huang |
| 2020 | AAAI | Learning Sparse Sharing Architectures for Multiple Tasks. | Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang |
| 2020 | AAAI | Storytelling from an Image Stream Using Scene Graphs. | Ruize Wang, Zhongyu Wei, Piji Li, Qi Zhang, Xuanjing Huang |
| 2020 | ACL | FLAT: Chinese NER Using Flat-Lattice Transformer. | Xiaonan Li, Hang Yan, Xipeng Qiu, Xuanjing Huang |
| 2020 | ACL | Simplify the Usage of Lexicon in Chinese NER. | Ruotian Ma, Minlong Peng, Qi Zhang, Zhongyu Wei, Xuanjing Huang |
| 2020 | ACL | Heterogeneous Graph Neural Networks for Extractive Document Summarization. | Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang |
| 2020 | ACL | Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples. | Xiaoqing Zheng, Jiehang Zeng, Yi Zhou, Cho-Jui Hsieh, Minhao Cheng, Xuanjing Huang |
| 2020 | ACL | Extractive Summarization as Text Matching. | Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang |
| 2020 | COLING | Modeling Evolution of Message Interaction for Rumor Resolution. | Lei Chen, Zhongyu Wei, Jing Li, Baohua Zhou, Qi Zhang, Xuanjing Huang |
| 2020 | COLING | An Enhanced Knowledge Injection Model for Commonsense Generation. | Zhihao Fan, Yeyun Gong, Zhongyu Wei, Siyuan Wang, Yameng Huang, Jian Jiao, Xuanjing Huang, Nan Duan, Ruofei Zhang |
| 2020 | COLING | CoLAKE: Contextualized Language and Knowledge Embedding. | Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang |
| 2020 | COLING | Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication. | Ruize Wang, Zhongyu Wei, Ying Cheng, Piji Li, Haijun Shan, Ji Zhang, Qi Zhang, Xuanjing Huang |
| 2020 | EMNLP | An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems. | Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang |
| 2020 | EMNLP | RethinkCWS: Is Chinese Word Segmentation a Solved Task? | Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang |
| 2020 | EMNLP | Uncertainty-Aware Label Refinement for Sequence Labeling. | Tao Gui, Jiacheng Ye, Qi Zhang, Zhengyan Li, Zichu Fei, Yeyun Gong, Xuanjing Huang |
| 2020 | EMNLP | Cross-Lingual Dependency Parsing by POS-Guided Word Reordering. | Lu Liu, Yi Zhou, Jianhan Xu, Xiaoqing Zheng, Kai-Wei Chang, Xuanjing Huang |
| 2020 | EMNLP | Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons. | Minlong Peng, Ruotian Ma, Qi Zhang, Lujun Zhao, Mengxi Wei, Changlong Sun, Xuanjing Huang |
| 2020 | EMNLP | A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder. | Xipeng Qiu, Hengzhi Pei, Hang Yan, Xuanjing Huang |
| 2020 | EMNLP | Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection. | Ruize Wang, Duyu Tang, Nan Duan, Wanjun Zhong, Zhongyu Wei, Xuanjing Huang, Daxin Jiang, Ming Zhou |
| 2020 | EMNLP | PathQG: Neural Question Generation from Facts. | Siyuan Wang, Zhongyu Wei, Zhihao Fan, Zengfeng Huang, Weijian Sun, Qi Zhang, Xuanjing Huang |
| 2020 | EMNLP | A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving. | Qinzhuo Wu, Qi Zhang, Jinlan Fu, Xuanjing Huang |
| 2020 | EMNLP | Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. | Xiaoyu Xing, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, Xuanjing Huang |
| 2020 | EMNLP | Automatic Term Name Generation for Gene Ontology: Task and Dataset. | Yanjian Zhang, Qin Chen, Yiteng Zhang, Zhongyu Wei, Yixu Gao, Jiajie Peng, Zengfeng Huang, Weijian Sun, Xuanjing Huang |
| 2019 | AAAI | Long Short-Term Memory with Dynamic Skip Connections. | Tao Gui, Qi Zhang, Lujun Zhao, Yaosong Lin, Minlong Peng, Jingjing Gong, Xuanjing Huang |
| 2019 | AAAI | Contextualized Non-Local Neural Networks for Sequence Learning. | Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung |
| 2019 | AAAI | Trainable Undersampling for Class-Imbalance Learning. | Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Xuanjing Huang, Yu-Gang Jiang, Keyu Ding, Zhigang Chen |
| 2019 | AAAI | A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation. | Siyuan Wang, Zhongyu Wei, Zhihao Fan, Yang Liu, Xuanjing Huang |
| 2019 | ACL | Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation. | Ning Dai, Jianze Liang, Xipeng Qiu, Xuanjing Huang |
| 2019 | ACL | Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning. | Zhihao Fan, Zhongyu Wei, Siyuan Wang, Xuanjing Huang |
| 2019 | ACL | Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning. | Minlong Peng, Xiaoyu Xing, Qi Zhang, Jinlan Fu, Xuanjing Huang |
| 2019 | ACL | Generating Responses with a Specific Emotion in Dialog. | Zhenqiao Song, Xiaoqing Zheng, Lu Liu, Mu Xu, Xuanjing Huang |
| 2019 | ACL | Searching for Effective Neural Extractive Summarization: What Works and What's Next. | Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang |
| 2019 | EMNLP | A Lexicon-Based Graph Neural Network for Chinese NER. | Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei, Xuanjing Huang |
| 2019 | EMNLP | GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge. | Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang |
| 2019 | EMNLP | Asynchronous Deep Interaction Network for Natural Language Inference. | Di Liang, Fubao Zhang, Qi Zhang, Xuanjing Huang |
| 2018 | AAAI | Adaptive Co-attention Network for Named Entity Recognition in Tweets. | Qi Zhang, Jinlan Fu, Xiaoyu Liu, Xuanjing Huang |
| 2018 | AAAI | Meta Multi-Task Learning for Sequence Modeling. | Jun-Kun Chen, Xipeng Qiu, Pengfei Liu, Xuanjing Huang |
| 2018 | AAAI | Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method. | Jinyue Su, Jiacheng Xu, Xipeng Qiu, Xuanjing Huang |
| 2018 | ACL | Task-oriented Dialogue System for Automatic Diagnosis. | Zhongyu Wei, Qianlong Liu, Baolin Peng, Huaixiao Tou, Ting Chen, Xuanjing Huang, Kam-Fai Wong, Xiangying Dai |
| 2018 | ACL | Cross-Domain Sentiment Classification with Target Domain Specific Information. | Minlong Peng, Qi Zhang, Yu-Gang Jiang, Xuanjing Huang |
| 2018 | CIKM | Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction. | Yingmei Chen, Zhongyu Wei, Xuanjing Huang |
| 2018 | CIKM | Generating Keyword Queries for Natural Language Queries to Alleviate Lexical Chasm Problem. | Xiaoyu Liu, Shunda Pan, Qi Zhang, Yu-Gang Jiang, Xuanjing Huang |
| 2018 | COLING | A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators. | Zhihao Fan, Zhongyu Wei, Siyuan Wang, Yang Liu, Xuanjing Huang |
| 2018 | COLING | Information Aggregation via Dynamic Routing for Sequence Encoding. | Jingjing Gong, Xipeng Qiu, Shaojing Wang, Xuanjing Huang |
| 2018 | COLING | Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention Model. | Lu Ji, Zhongyu Wei, Xiangkun Hu, Yang Liu, Qi Zhang, Xuanjing Huang |
| 2018 | COLING | A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis. | Yicheng Zou, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2018 | EMNLP | Convolutional Interaction Network for Natural Language Inference. | Jingjing Gong, Xipeng Qiu, Xinchi Chen, Dong Liang, Xuanjing Huang |
| 2018 | EMNLP | Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging. | Tao Gui, Qi Zhang, Jingjing Gong, Minlong Peng, Di Liang, Keyu Ding, Xuanjing Huang |
| 2018 | EMNLP | Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning. | Yucheng Wang, Zhongyu Wei, Yaqian Zhou, Xuanjing Huang |
| 2017 | ACL | Adversarial Multi-Criteria Learning for Chinese Word Segmentation. | Xinchi Chen, Zhan Shi, Xipeng Qiu, Xuanjing Huang |
| 2017 | ACL | Adversarial Multi-task Learning for Text Classification. | Pengfei Liu, Xipeng Qiu, Xuanjing Huang |
| 2017 | EMNLP | Part-of-Speech Tagging for Twitter with Adversarial Neural Networks. | Tao Gui, Qi Zhang, Haoran Huang, Minlong Peng, Xuanjing Huang |
| 2017 | EMNLP | Idiom-Aware Compositional Distributed Semantics. | Pengfei Liu, Kaiyu Qian, Xipeng Qiu, Xuanjing Huang |
| 2017 | ICDE | A Mixed Generative-Discriminative Based Hashing Method. | Qi Zhang, Yang Wang, Jin Qian, Binbin Deng, Xuanjing Huang |
| 2016 | AAAI | Discourse Relations Detection via a Mixed Generative-Discriminative Framework. | Jifan Chen, Qi Zhang, Pengfei Liu, Xuanjing Huang |
| 2016 | ACL | Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network. | Jifan Chen, Qi Zhang, Pengfei Liu, Xipeng Qiu, Xuanjing Huang |
| 2016 | ACL | Deep Fusion LSTMs for Text Semantic Matching. | Pengfei Liu, Xipeng Qiu, Jifan Chen, Xuanjing Huang |
| 2016 | ACL | Investigating Language Universal and Specific Properties in Word Embeddings. | Peng Qian, Xipeng Qiu, Xuanjing Huang |
| 2016 | ACL | A New Psychometric-inspired Evaluation Metric for Chinese Word Segmentation. | Peng Qian, Xipeng Qiu, Xuanjing Huang |
| 2016 | CIKM | Incorporate Group Information to Enhance Network Embedding. | Jifan Chen, Qi Zhang, Xuanjing Huang |
| 2016 | CIKM | Retweet Prediction with Attention-based Deep Neural Network. | Qi Zhang, Yeyun Gong, Jindou Wu, Haoran Huang, Xuanjing Huang |
| 2016 | COLING | Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention. | Haoran Huang, Qi Zhang, Yeyun Gong, Xuanjing Huang |
| 2016 | COLING | Attention-Based Convolutional Neural Network for Semantic Relation Extraction. | Yatian Shen, Xuanjing Huang |
| 2016 | EMNLP | Deep Multi-Task Learning with Shared Memory for Text Classification. | Pengfei Liu, Xipeng Qiu, Xuanjing Huang |
| 2016 | EMNLP | Modelling Interaction of Sentence Pair with Coupled-LSTMs. | Pengfei Liu, Xipeng Qiu, Yaqian Zhou, Jifan Chen, Xuanjing Huang |
| 2016 | EMNLP | Analyzing Linguistic Knowledge in Sequential Model of Sentence. | Peng Qian, Xipeng Qiu, Xuanjing Huang |
| 2016 | EMNLP | Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification. | Jiacheng Xu, Danlu Chen, Xipeng Qiu, Xuanjing Huang |
| 2016 | EMNLP | Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary. | Qi Zhang, Jin Qian, Ya Guo, Yaqian Zhou, Xuanjing Huang |
| 2016 | EMNLP | Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter. | Qi Zhang, Yang Wang, Yeyun Gong, Xuanjing Huang |
| 2015 | AAAI | Retweet Behavior Prediction Using Hierarchical Dirichlet Process. | Qi Zhang, Yeyun Gong, Ya Guo, Xuanjing Huang |
| 2015 | ACL | Gated Recursive Neural Network for Chinese Word Segmentation. | Xinchi Chen, Xipeng Qiu, Chenxi Zhu, Xuanjing Huang |
| 2015 | ACL | A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network. | Chenxi Zhu, Xipeng Qiu, Xinchi Chen, Xuanjing Huang |
| 2015 | CIKM | Who Will You "@"? | Yeyun Gong, Qi Zhang, Xuyang Sun, Xuanjing Huang |
| 2015 | EMNLP | Long Short-Term Memory Neural Networks for Chinese Word Segmentation. | Xinchi Chen, Xipeng Qiu, Chenxi Zhu, Pengfei Liu, Xuanjing Huang |
| 2015 | EMNLP | Sentence Modeling with Gated Recursive Neural Network. | Xinchi Chen, Xipeng Qiu, Chenxi Zhu, Shiyu Wu, Xuanjing Huang |
| 2015 | EMNLP | Transition-based Dependency Parsing Using Two Heterogeneous Gated Recursive Neural Networks. | Xinchi Chen, Yaqian Zhou, Chenxi Zhu, Xipeng Qiu, Xuanjing Huang |
| 2015 | EMNLP | Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags. | Yeyun Gong, Qi Zhang, Xuanjing Huang |
| 2015 | EMNLP | Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents. | Pengfei Liu, Xipeng Qiu, Xinchi Chen, Shiyu Wu, Xuanjing Huang |
| 2014 | COLING | A Generative Model for Identifying Target Companies of Microblogs. | Yeyun Gong, Yaqian Zhou, Ya Guo, Qi Zhang, Xuanjing Huang |
| 2014 | COLING | Automatic Corpus Expansion for Chinese Word Segmentation by Exploiting the Redundancy of Web Information. | Xipeng Qiu, Chaochao Huang, Xuanjing Huang |
| 2014 | COLING | Time-aware Personalized Hashtag Recommendation on Social Media. | Qi Zhang, Yeyun Gong, Xuyang Sun, Xuanjing Huang |
| 2013 | ACL | Latent Semantic Tensor Indexing for Community-based Question Answering. | Xipeng Qiu, Le Tian, Xuanjing Huang |
| 2013 | ACL | FudanNLP: A Toolkit for Chinese Natural Language Processing. | Xipeng Qiu, Qi Zhang, Xuanjing Huang |
| 2013 | CIKM | Map search via a factor graph model. | Qi Zhang, Jihua Kang, Yeyun Gong, Huan Chen, Yaqian Zhou, Xuanjing Huang |
| 2013 | CIKM | A pattern-based selective recrawling approach for object-level vertical search. | Yaqian Zhou, Qi Zhang, Xuanjing Huang, Lide Wu |
| 2013 | EMNLP | Joint Chinese Word Segmentation and POS Tagging on Heterogeneous Annotated Corpora with Multiple Task Learning. | Xipeng Qiu, Jiayi Zhao, Xuanjing Huang |
| 2013 | EMNLP | Discourse Level Explanatory Relation Extraction from Product Reviews Using First-Order Logic. | Qi Zhang, Jin Qian, Huan Chen, Jihua Kang, Xuanjing Huang |
| 2012 | CIKM | Discovering logical knowledge for deep question answering. | Zhao Liu, Xipeng Qiu, Ling Cao, Xuanjing Huang |
| 2012 | CIKM | Selecting expansion terms as a set via integer linear programming. | Qi Zhang, Yan Wu, Xuanjing Huang |
| 2012 | COLING | Automatic Hashtag Recommendation for Microblogs using Topic-Specific Translation Model. | Zhuoye Ding, Qi Zhang, Xuanjing Huang |
| 2012 | COLING | Joint Segmentation and Tagging with Coupled Sequences Labeling. | Xipeng Qiu, Feng Ji, Jiayi Zhao, Xuanjing Huang |
| 2012 | EMNLP | Part-of-Speech Tagging for Chinese-English Mixed Texts with Dynamic Features. | Jiayi Zhao, Xipeng Qiu, Shu Zhang, Feng Ji, Xuanjing Huang |
| 2011 | ACL | Hierarchical Text Classification with Latent Concepts. | Xipeng Qiu, Xuanjing Huang, Zhao Liu, Jinlong Zhou |
| 2011 | CICLING | Labelwise Margin Maximization for Sequence Labeling. | Wenjun Gao, Xipeng Qiu, Xuanjing Huang |
| 2011 | EMNLP | Structural Opinion Mining for Graph-based Sentiment Representation. | Yuanbin Wu, Qi Zhang, Xuanjing Huang, Lide Wu |
| 2010 | ADMA | Mining Uncertain Sentences with Multiple Instance Learning. | Feng Ji, Xipeng Qiu, Xuanjing Huang |
| 2010 | COLING | 2D Trie for Fast Parsing. | Xian Qian, Qi Zhang, Xuanjing Huang, Lide Wu |
| 2010 | CoNLL | Detecting Hedge Cues and their Scopes with Average Perceptron. | Feng Ji, Xipeng Qiu, Xuanjing Huang |
| 2010 | EMNLP | Joint Training and Decoding Using Virtual Nodes for Cascaded Segmentation and Tagging Tasks. | Xian Qian, Qi Zhang, Yaqian Zhou, Xuanjing Huang, Lide Wu |
| 2009 | ACL | Hierarchical Multi-Label Text Categorization with Global Margin Maximization. | Xipeng Qiu, Wenjun Gao, Xuanjing Huang |
| 2009 | CIKM | A unified relevance model for opinion retrieval. | Xuanjing Huang, W. Bruce Croft |
| 2009 | EMNLP | Phrase Dependency Parsing for Opinion Mining. | Yuanbin Wu, Qi Zhang, Xuanjing Huang, Lide Wu |
| 2008 | ECAI | Answering Definition Question: Ranking for Top-k. | Chao Shen, Xipeng Qiu, Xuanjing Huang, Lide Wu |