| 2026 | AAAI | CARE-Bench: A Benchmark of Diverse Client Simulations Guided by Expert Principles for Evaluating LLMs in Psychological Counseling. | Bichen Wang, Yixin Sun, Junzhe Wang, Hao Yang, Xing Fu, Yanyan Zhao, Si Wei, Shijin Wang, Bing Qin |
| 2026 | AAAI | LangGPS: Language Separability Guided Data Pre-Selection for Joint Multilingual Instruction Tuning. | Yangfan Ye, Xiaocheng Feng, Xiachong Feng, Lei Huang, Weitao Ma, Qichen Hong, Yunfei Lu, Duyu Tang, Dandan Tu, Bing Qin |
| 2026 | AAAI | CultureRL: Internalizing Cultural Principles in Large Language Models via Norm-Driven Reinforcement Learning. | Weixiang Zhao, Haozhen Li, Yanyan Zhao, Haixiao Liu, Biye Li, Ting Liu, Bing Qin |
| 2026 | AAAI | Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities. | Weixiang Zhao, Xingyu Sui, Jiahe Guo, Yulin Hu, Yang Deng, Yanyan Zhao, Xuda Zhi, Yongbo Huang, Hao He, Wanxiang Che, Ting Liu, Bing Qin |
| 2026 | ACL | MPR-GUI: Benchmarking and Enhancing Multilingual Perception and Reasoning in GUI Agents. | Ruihan Chen, Qiming Li, Xiaocheng Feng, Weihong Zhong, Xiaoliang Yang, Yuxuan Gu, Zekun Zhou, Yunfei Lu, Haoyu Ren, Kun Chen, Dandan Tu, Bing Qin |
| 2026 | ACL | Toward Secure Tuning: Mitigating Security Risks from Instruction Fine-Tuning. | Yanrui Du, Fenglei Fan, Sendong Zhao, Jiawei Cao, Ming Ma, Danyang Zhao, Shuren Qi, Ting Liu, Bing Qin |
| 2026 | ACL | MCGA: A Multi-task Classical Chinese Literary Genre Audio Corpus. | Yexing Du, Kaiyuan Liu, Bihe Zhang, Youcheng Pan, Bo Yang, Liangyu Huo, Xiyuan Zhang, Jian Xie, Daojing He, Yang Xiang, Ming Liu, Bing Qin |
| 2026 | ACL | SAVOIR: Learning Social Savoir-Faire via Shapley-based Reward Attribution. | Xiachong Feng, Yi Jiang, Xiaocheng Feng, Deyi Yin, Libo Qin, Yangfan Ye, Lei Huang, Weitao Ma, Yuxuan Gu, Chonghan Qin, Bing Qin, Lingpeng Kong |
| 2026 | ACL | Stratagem: Learning Transferable Reasoning via Trajectory-Modulated Game Self-Play. | Xiachong Feng, Deyi Yin, Xiaocheng Feng, Yi Jiang, Libo Qin, Yangfan Ye, Lei Huang, Weitao Ma, Qiming Li, Yuxuan Gu, Bing Qin, Lingpeng Kong |
| 2026 | ACL | ENPMR-Bench: Benchmarking Proactive Memory Retrieval for Emotional Support Agents. | Xing Fu, Yulin Hu, Mengtong Ji, Haozhen Li, Yixin Sun, Weixiang Zhao, Yanyan Zhao, Bing Qin |
| 2026 | ACL | When Personalization Legitimizes Risks: Uncovering Safety Vulnerabilities in Personalized Dialogue Agents. | Jiahe Guo, Xiangran Guo, Yulin Hu, Zimo Long, Xingyu Sui, Xuda Zhi, Yongbo Huang, Hao He, Weixiang Zhao, Yanyan Zhao, Bing Qin |
| 2026 | ACL | Breaking Language Preference in Multilingual RAG via Language-Controllable Retrieval and Language-Agnostic Reasoning. | Wenshuai Huo, Xiaocheng Feng, Baohang Li, Chengpeng Fu, Yichong Huang, Hui Wang, Bing Qin |
| 2026 | ACL | EMTIR-GRPO: Efficient Multi-Tool Augmented Large Language Models via Reinforcement Learning. | Shixin Jiang, Zhihao Zhu, Jiafeng Liang, Yang Wu, Ming Liu, Bing Qin |
| 2026 | ACL | Collaborative Chain-of-Agents for Parametric-Retrieved Knowledge Synergy. | Yi Jiang, Sendong Zhao, Jianbo Li, Haochun Wang, Lizhe Zhang, Yan Liu, Bing Qin |
| 2026 | ACL | Unlocking Multilingual Reasoning Capability of LLMs and LVLMs through Representation Engineering. | Qiming Li, Xiaocheng Feng, Yixuan Ma, Ruihan Chen, Zihe Tong, Zekai Ye, Xiachong Feng, Libo Qin, Haoyu Ren, Kun Chen, Yunfei Lu, Dandan Tu, Bing Qin |
| 2026 | ACL | Two-Stage Parameter Alignment for Multi-LoRA Merging in Large Language Models. | Zijian Li, Xiachong Feng, Weitao Ma, Yichong Huang, Xiaocheng Feng, Bing Qin |
| 2026 | ACL | Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models. | Runxuan Liu, Xianhao Ou, Xinyan Ma, Jiyuan Wang, Jiafeng Liang, Jiaqi Li, Tao He, Zheng Chu, Rongchuan Mu, Zekun Wang, Baoxin Wang, Dayong Wu, Ming Liu, Shijin Wang, Guoping Hu, Bing Qin |
| 2026 | ACL | Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory Management. | Weitao Ma, Xiaocheng Feng, Lei Huang, Xiachong Feng, Zhanyu Ma, Jun Xu, Jiuchong Gao, Jinghua Hao, Renqing He, Bing Qin |
| 2026 | ACL | PARIF: Pushing the Pareto Frontier of Instruction Following and Reasoning with Curriculum Reinforcement Learning. | Rongchuan Mu, Zexin Wang, Qianyu Wang, Minghua Ma, Zekun Wang, Ming Liu, Bing Qin |
| 2026 | ACL | TEA-Bench: A Systematic Benchmarking of Tool-enhanced Emotional Support Dialogue Agent. | Xingyu Sui, Yanyan Zhao, Yulin Hu, Jiahe Guo, Weixiang Zhao, Bing Qin |
| 2026 | ACL | Large Language Models Are Still Misled by Simple Bias Ensembles. | Zhouhao Sun, Zhiyuan Kan, Xiao Ding, Li Du, Bibo Cai, Yang Zhao, Bing Qin, Ting Liu |
| 2026 | ACL | From Implicit Graph Encoding to Explicit Evidence: A Training-Free LLM Framework for Temporal Knowledge Graph Reasoning. | Guo Tang, Ke Cheng, Huiming Fan, Heng Chang, Wenxiang Zheng, Xianhao Ou, Junjia Xiang, Ming Liu, Yujun Zhou, Li Lanyu, Bing Qin |
| 2026 | ACL | Psychological Counseling Cannot Be Achieved Overnight: Automated Psychological Counseling Through Multi-Session Conversations. | Bichen Wang, Junzhe Wang, Yixin Sun, Xing Fu, Yanyan Zhao, Bing Qin |
| 2026 | ACL | MDC-Bench: A Multidisciplinary Causal Benchmark Based on Causal Structures for Evaluating Large Language Models. | Peng Wang, Yuxiong Yan, Xiao Ding, Kai Xiong, Bibo Cai, Chao Peng, Yutai Hou, Dandan Tu, Bing Qin, Ting Liu |
| 2026 | ACL | When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure. | Boyu Xiao, Xiuqi Tian, Xuwen Song, Haochun Wang, Guanchun Song, Sendong Zhao, Bing Qin |
| 2026 | ACL | Adaptive Backtracking for Privacy Protection in Large Language Models. | Zhihao Yao, Yuxuan Gu, Xiachong Feng, Weitao Ma, Bo Li, Xiaocheng Feng, Bing Qin |
| 2026 | ACL | x1: Learning to Think Adaptively Across Languages and Cultures. | Yangfan Ye, Xiaocheng Feng, Xiachong Feng, Yichong Huang, Zekun Yuan, Lei Huang, Weitao Ma, Qichen Hong, Yunfei Lu, Dandan Tu, Bing Qin |
| 2026 | ACL | Culture-Aware Machine Translation in Large Language Models: Benchmarking and Investigation. | Zekun Yuan, Yangfan Ye, Xiaocheng Feng, Baohang Li, Qichen Hong, Yunfei Lu, Dandan Tu, Bing Qin |
| 2026 | ACL | WebAnchor: Anchoring Agent Planning to Stabilize Long-Horizon Web Reasoning. | Xinmiao Yu, Liwen Zhang, Xiaocheng Feng, Pengjun Xie, Jingren Zhou, Bing Qin, Yong Jiang |
| 2026 | ACL | Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression. | Liang Zhao, Xiaocheng Feng, Weihong Zhong, Lei Huang, Kun Zhu, Baoxin Wang, Dayong Wu, Guoping Hu, Ting Liu, Bing Qin |
| 2026 | ACL | Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration. | Yang Zhao, Yangou Ouyang, Xiao Ding, Hepeng Wang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu |
| 2026 | ACL | MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization. | Yang Zhao, Hepeng Wang, Xiao Ding, Yangou Ouyang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu |
| 2026 | ACL | On Safety Risks in Experience-Driven Self-Evolving Agents. | Weixiang Zhao, Yichen Zhang, Yingshuo Wang, Yang Deng, Yanyan Zhao, Xuda Zhi, Yongbo Huang, Hao He, Wanxiang Che, Bing Qin, Ting Liu |
| 2026 | WWW | Beyond the Flat Sequence: Hierarchical and Preference-Aware Generative Recommendations. | Zerui Chen, Heng Chang, Tianying Liu, Chuantian Zhou, Yi Cao, Jiandong Ding, Ming Liu, Bing Qin |
| 2025 | AAAI | Investigating the Security Threat Arising from "Yes-No" Implicit Bias in Large Language Models. | Yanrui Du, Sendong Zhao, Ming Ma, Yuhan Chen, Bing Qin |
| 2025 | AAAI | Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues. | Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Yiheng Sun, Zerui Chen, Ming Liu, Bing Qin |
| 2025 | AAAI | Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning. | Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Baohang Li, Yangfan Ye, Zhirui Zhang, Dandan Tu, Duyu Tang, Yunfei Lu, Hui Wang, Bing Qin |
| 2025 | AAAI | Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective. | Xinmiao Yu, Xiaocheng Feng, Yun Li, Minghui Liao, Ya-Qi Yu, Xiachong Feng, Weihong Zhong, Ruihan Chen, Mengkang Hu, Jihao Wu, Duyu Tang, Dandan Tu, Bing Qin |
| 2025 | ACL | EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models. | Zekun Wang, Minghua Ma, Zexin Wang, Rongchuan Mu, Liping Shan, Ming Liu, Bing Qin |
| 2025 | ACL | Com² : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models. | Kai Xiong, Xiao Ding, Yixin Cao, Yuxiong Yan, Li Du, Yufei Zhang, Jinglong Gao, Jiaqian Liu, Bing Qin, Ting Liu |
| 2025 | ACL | Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering. | Zheng Chu, Huiming Fan, Jingchang Chen, Qianyu Wang, Mingda Yang, Jiafeng Liang, Zhongjie Wang, Hao Li, Guo Tang, Ming Liu, Bing Qin |
| 2025 | ACL | Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning. | Yexing Du, Youcheng Pan, Ziyang Ma, Bo Yang, Yifan Yang, Keqi Deng, Xie Chen, Yang Xiang, Ming Liu, Bing Qin |
| 2025 | ACL | ExpeTrans: LLMs Are Experiential Transfer Learners. | Jinglong Gao, Xiao Ding, Lingxiao Zou, Bibo Cai, Bing Qin, Ting Liu |
| 2025 | ACL | Length Controlled Generation for Black-box LLMs. | Yuxuan Gu, Wenjie Wang, Xiaocheng Feng, Weihong Zhong, Kun Zhu, Lei Huang, Ting Liu, Bing Qin, Tat-Seng Chua |
| 2025 | ACL | Breaking the Reasoning Barrier A Survey on LLM Complex Reasoning through the Lens of Self-Evolution. | Tao He, Hao Li, Jingchang Chen, Runxuan Liu, Yixin Cao, Lizi Liao, Zihao Zheng, Zheng Chu, Jiafeng Liang, Ming Liu, Bing Qin |
| 2025 | ACL | Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning. | Lei Huang, Xiaocheng Feng, Weitao Ma, Yuchun Fan, Xiachong Feng, Yuxuan Gu, Yangfan Ye, Liang Zhao, Weihong Zhong, Baoxin Wang, Dayong Wu, Guoping Hu, Lingpeng Kong, Tong Xiao, Ting Liu, Bing Qin |
| 2025 | ACL | Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization. | Lei Huang, Xiaocheng Feng, Weitao Ma, Yuchun Fan, Xiachong Feng, Yangfan Ye, Weihong Zhong, Yuxuan Gu, Baoxin Wang, Dayong Wu, Guoping Hu, Bing Qin |
| 2025 | ACL | From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities. | Shixin Jiang, Jiafeng Liang, Jiyuan Wang, Xuan Dong, Heng Chang, Weijiang Yu, Jinhua Du, Ming Liu, Bing Qin |
| 2025 | ACL | GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis. | Yi Jiang, Sendong Zhao, Jianbo Li, Haochun Wang, Bing Qin |
| 2025 | ACL | Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency. | Jiafeng Liang, Shixin Jiang, Xuan Dong, Ning Wang, Zheng Chu, Hui Su, Jinlan Fu, Ming Liu, See-Kiong Ng, Bing Qin |
| 2025 | ACL | Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering. | Runxuan Liu, Luobei Luobei, Jiaqi Li, Baoxin Wang, Ming Liu, Dayong Wu, Shijin Wang, Bing Qin |
| 2025 | ACL | One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit. | Weitao Ma, Xiyuan Du, Xiaocheng Feng, Lei Huang, Yichong Huang, Huiyi Zhang, Xiaoliang Yang, Baohang Li, Xiachong Feng, Ting Liu, Bing Qin |
| 2025 | ACL | Natural Logic at the Core: Dynamic Rewards for Entailment Tree Generation. | Jihao Shi, Xiao Ding, Kai Xiong, Hengwei Zhao, Bing Qin, Ting Liu |
| 2025 | ACL | AnRe: Analogical Replay for Temporal Knowledge Graph Forecasting. | Guo Tang, Zheng Chu, Wenxiang Zheng, Junjia Xiang, Yizhuo Li, Weihao Zhang, Ming Liu, Bing Qin |
| 2025 | ACL | Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems. | Haochun Wang, Sendong Zhao, Jingbo Wang, Zewen Qiang, Bing Qin, Ting Liu |
| 2025 | ACL | Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models. | Di Wu, Xin Lu, Yanyan Zhao, Bing Qin |
| 2025 | ACL | CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning. | Yangfan Ye, Xiaocheng Feng, Zekun Yuan, Xiachong Feng, Libo Qin, Lei Huang, Weitao Ma, Yichong Huang, Zhirui Zhang, Yunfei Lu, Xiaohui Yan, Duyu Tang, Dandan Tu, Bing Qin |
| 2025 | ACL | CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention. | Zekai Ye, Qiming Li, Xiaocheng Feng, Libo Qin, Yichong Huang, Baohang Li, Kui Jiang, Yang Xiang, Zhirui Zhang, Yunfei Lu, Duyu Tang, Dandan Tu, Bing Qin |
| 2025 | ACL | Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns. | Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin |
| 2025 | ACL | Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection. | Yang Zhao, Li Du, Xiao Ding, Yangou Ouyang, Hepeng Wang, Kai Xiong, Jinglong Gao, Zhouhao Sun, Dongliang Xu, Qing Yang, Dongchen Li, Bing Qin, Ting Liu |
| 2025 | ACL | Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs. | Weixiang Zhao, Yulin Hu, Yang Deng, Jiahe Guo, Xingyu Sui, Xinyang Han, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu |
| 2025 | ACL | MPO: Multilingual Safety Alignment via Reward Gap Optimization. | Weixiang Zhao, Yulin Hu, Yang Deng, Tongtong Wu, Wenxuan Zhang, Jiahe Guo, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu |
| 2025 | COLING | CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information. | Yuxin Wang, Minghua Ma, Zekun Wang, Jingchang Chen, Liping Shan, Qing Yang, Dongliang Xu, Ming Liu, Bing Qin |
| 2025 | COLING | Towards Faithful Multi-step Reasoning through Fine-Grained Causal-aware Attribution Reasoning Distillation. | Zheng Chu, Jingchang Chen, Zhongjie Wang, Guo Tang, Qianglong Chen, Ming Liu, Bing Qin |
| 2025 | COLING | Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis. | Weitao Ma, Xiaocheng Feng, Weihong Zhong, Lei Huang, Yangfan Ye, Xiachong Feng, Bing Qin |
| 2025 | COLING | LLMs May Perform MCQA by Selecting the Least Incorrect Option. | Haochun Wang, Sendong Zhao, Zewen Qiang, Nuwa Xi, Bing Qin, Ting Liu |
| 2025 | COLING | GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models. | Zike Yuan, Ming Liu, Hui Wang, Bing Qin |
| 2025 | EMNLP | How do Language Models Reshape Entity Alignment? A Survey of LM-Driven EA Methods: Advances, Benchmarks, and Future. | Zerui Chen, Huiming Fan, Qianyu Wang, Tao He, Ming Liu, Heng Chang, Weijiang Yu, Ze Li, Bing Qin |
| 2025 | EMNLP | Look Beyond Feeling: Unveiling Latent Needs from Implicit Expressions for Proactive Emotional Support. | Xing Fu, Haozhen Li, Bichen Wang, Hao Yang, Yanyan Zhao, Bing Qin |
| 2025 | EMNLP | FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging. | Zijian Li, Xiaocheng Feng, Huixin Liu, Yichong Huang, Ting Liu, Bing Qin |
| 2025 | EMNLP | End-to-End Learnable Psychiatric Scale Guided Risky Post Screening for Depression Detection on Social Media. | Bichen Wang, Yuzhe Zi, Yixin Sun, Hao Yang, Yanyan Zhao, Bing Qin |
| 2025 | EMNLP | MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications. | Zike Yuan, Ming Liu, Hui Wang, Bing Qin |
| 2025 | EMNLP | Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch. | Yirong Zeng, Xiao Ding, Yutai Hou, Yuxian Wang, Li Du, Juyi Dai, Qiuyang Ding, Duyu Tang, Dandan Tu, Weiwen Liu, Bing Qin, Ting Liu |
| 2025 | EMNLP | iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use. | Yirong Zeng, Xiao Ding, Yuxian Wang, Weiwen Liu, Yutai Hou, Wu Ning, Xu Huang, Duyu Tang, Dandan Tu, Bing Qin, Ting Liu |
| 2025 | EMNLP | AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender. | Weixiang Zhao, Jiahe Guo, Yulin Hu, Yang Deng, An Zhang, Xingyu Sui, Xinyang Han, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu |
| 2025 | EMNLP | Probing and Boosting Large Language Models Capabilities via Attention Heads. | Dezhi Zhao, Xin Liu, Xiaocheng Feng, Hui Wang, Bing Qin |
| 2025 | EMNLP | Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter. | Weixiang Zhao, Xingyu Sui, Xinyang Han, Yang Deng, Yulin Hu, Jiahe Guo, Libo Qin, Qianyun Du, Shijin Wang, Yanyan Zhao, Bing Qin, Ting Liu |
| 2025 | EMNLP | From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems. | Zekun Zhou, Xiaocheng Feng, Lei Huang, Xiachong Feng, Ziyun Song, Ruihan Chen, Liang Zhao, Weitao Ma, Yuxuan Gu, Baoxin Wang, Dayong Wu, Guoping Hu, Ting Liu, Bing Qin |
| 2025 | EMNLP | Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering. | Kun Zhu, Lizi Liao, Yuxuan Gu, Lei Huang, Xiaocheng Feng, Bing Qin |
| 2025 | ICASSP | Bridging Neural and Symbolic Reasoning: A Dual-System Framework for Interpretable Question Answering. | Jihao Shi, Xiao Ding, Hengwei Zhao, Ting Liu, Bing Qin |
| 2025 | ICLR | Improved Diffusion-based Generative Model with Better Adversarial Robustness. | Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhiming Ma |
| 2025 | IJCAI | Beyond Fixed Length: Bucket Pre-training is All You Need. | Qing Yang, Qiyao Peng, Hongtao Liu, Kai Liu, Bing Qin, Ting Liu |
| 2025 | IJCNN | MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views. | Muzhen Cai, Sendong Zhao, Haochun Wang, Haoqiang Guo, Yanrui Du, Zewen Qiang, Bing Qin, Ting Liu |
| 2025 | NAACL | Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs. | Bichen Wang, Yuzhe Zi, Yixin Sun, Yanyan Zhao, Bing Qin |
| 2025 | NAACL | Exploring Large Language Models for Effective Rumor Detection on Social Media. | Yirong Zeng, Xiao Ding, Bibo Cai, Ting Liu, Bing Qin |
| 2025 | SIGIR | Simulating Before Planning: Constructing Intrinsic User World Model for User-Tailored Dialogue Policy Planning. | Tao He, Lizi Liao, Ming Liu, Bing Qin |
| 2024 | AAAI | From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery. | Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin |
| 2024 | AAAI | MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts. | Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin |
| 2024 | AAAI | Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification. | Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu |
| 2024 | ACL | Learning Fine-Grained Grounded Citations for Attributed Large Language Models. | Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin |
| 2024 | ACL | An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation. | Kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin |
| 2024 | ACL | BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering. | Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin |
| 2024 | ACL | TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models. | Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin |
| 2024 | ACL | Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. | Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu |
| 2024 | ACL | Self-Evolving GPT: A Lifelong Autonomous Experiential Learner. | Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin |
| 2024 | ACL | Decomposing Argumentative Essay Generation via Dialectical Planning of Complex Reasoning. | Yuhang He, Jianzhu Bao, Yang Sun, Bin Liang, Min Yang, Bing Qin, Ruifeng Xu |
| 2024 | ACL | Planning Like Human: A Dual-process Framework for Dialogue Planning. | Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin |
| 2024 | ACL | Causal-Guided Active Learning for Debiasing Large Language Models. | Zhouhao Sun, Li Du, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin |
| 2024 | ACL | AS-ES Learning: Towards efficient CoT learning in small models. | Nuwa Xi, Yuhan Chen, Sendong Zhao, Haochun Wang, GongZhang GongZhang, Bing Qin, Ting Liu |
| 2024 | ACL | Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. | Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu |
| 2024 | ACL | Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning. | Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Shi Jun, Ting Liu, Bing Qin |
| 2024 | ACL | Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence. | Weixiang Zhao, Zhuojun Li, Shilong Wang, Yang Wang, Yulin Hu, Yanyan Zhao, Chen Wei, Bing Qin |
| 2024 | ACL | SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models. | Weixiang Zhao, Shilong Wang, Yulin Hu, Yanyan Zhao, Bing Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che |
| 2024 | ACL | Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models. | Weihong Zhong, Xiaocheng Feng, Liang Zhao, Qiming Li, Lei Huang, Yuxuan Gu, Weitao Ma, Yuan Xu, Bing Qin |
| 2024 | COLING | Gradient Consistency-based Parameter Allocation for Multilingual Neural Machine Translation. | Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Hui Wang, Bing Qin |
| 2024 | COLING | Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation. | Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin |
| 2024 | COLING | SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models. | Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Haichao Zhu, Jiafeng Liang, Liping Shan, Ming Liu, Dongliang Xu, Qing Yang, Bing Qin |
| 2024 | COLING | ESDM: Early Sensing Depression Model in Social Media Streams. | Bichen Wang, Yuzhe Zi, Yanyan Zhao, Pengfei Deng, Bing Qin |
| 2024 | COLING | RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict. | Yirong Zeng, Xiao Ding, Yi Zhao, Xiangyu Li, Jie Zhang, Chao Yao, Ting Liu, Bing Qin |
| 2024 | COLING | Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition. | Zihao Zheng, Zihan Zhang, Zexin Wang, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin |
| 2024 | EMNLP | Advancing Large Language Model Attribution through Self-Improving. | Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin |
| 2024 | EMNLP | BC-Prover: Backward Chaining Prover for Formal Theorem Proving. | Yuhang He, Jihai Zhang, Jianzhu Bao, Fangquan Lin, Cheng Yang, Bing Qin, Ruifeng Xu, Wotao Yin |
| 2024 | EMNLP | Aligning Translation-Specific Understanding to General Understanding in Large Language Models. | Yichong Huang, Baohang Li, Xiaocheng Feng, Wenshuai Huo, Chengpeng Fu, Ting Liu, Bing Qin |
| 2024 | EMNLP | Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models. | Shixin Jiang, Zerui Chen, Jiafeng Liang, Yanyan Zhao, Ming Liu, Bing Qin |
| 2024 | EMNLP | CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models. | Yaojia Lv, Haojie Pan, Zekun Wang, Jiafeng Liang, Yuanxing Liu, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin |
| 2024 | EMNLP | Towards Benchmarking Situational Awareness of Large Language Models: Comprehensive Benchmark, Evaluation and Analysis. | Guo Tang, Zheng Chu, Wenxiang Zheng, Ming Liu, Bing Qin |
| 2024 | EMNLP | Extending Context Window of Large Language Models from a Distributional Perspective. | Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin |
| 2024 | EMNLP | GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization. | Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin |
| 2024 | EMNLP | Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding. | Liang Zhao, Xiachong Feng, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin, Ting Liu |
| 2024 | ICASSP | SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills. | Zhangyin Feng, Yong Dai, Fan Zhang, Duyu Tang, Xiaocheng Feng, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi |
| 2024 | ICASSP | Retrieval-Generation Synergy Augmented Large Language Models. | Zhangyin Feng, Xiaocheng Feng, Dezhi Zhao, Maojin Yang, Bing Qin |
| 2024 | ICASSP | Relational Graph-Bridged Image-Text Interaction: A Novel Method for Multi-Modal Relation Extraction. | Zihao Zheng, Tao He, Ming Liu, Zhongyuan Wang, Ruiji Fu, Bing Qin |
| 2024 | IJCAI | GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension. | Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin |
| 2024 | ICWSM | Leveraging Psychiatric Scale for Suicide Risk Detection on Social Media. | Bichen Wang, Pengfei Deng, Song Chen, Yanyan Zhao, Bing Qin |
| 2023 | AAAI | Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning. | Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang |
| 2023 | AAAI | Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment. | Weixiang Zhao, Yanyan Zhao, Zhuojun Li, Bing Qin |
| 2023 | AAAI | STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training. | Weihong Zhong, Mao Zheng, Duyu Tang, Xuan Luo, Heng Gong, Xiaocheng Feng, Bing Qin |
| 2023 | ACL | Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing. | Li Du, Xiao Ding, Zhouhao Sun, Ting Liu, Bing Qin, Jingshuo Liu |
| 2023 | ACL | Improved Visual Story Generation with Adaptive Context Modeling. | Zhangyin Feng, Yuchen Ren, Xinmiao Yu, Xiaocheng Feng, Duyu Tang, Shuming Shi, Bing Qin |
| 2023 | ACL | Controllable Text Generation via Probability Density Estimation in the Latent Space. | Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Weihong Zhong, Bing Qin |
| 2023 | ACL | Towards Higher Pareto Frontier in Multilingual Machine Translation. | Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Baohang Li, Bing Qin |
| 2023 | ACL | NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. | Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu |
| 2023 | ACL | UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language. | Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin, Ting Liu |
| 2023 | ACL | An Empirical Study of Sentiment-Enhanced Pre-Training for Aspect-Based Sentiment Analysis. | Yice Zhang, Yifan Yang, Bin Liang, Shiwei Chen, Bing Qin, Ruifeng Xu |
| 2023 | ACL | Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness. | Weixiang Zhao, Yanyan Zhao, Xin Lu, Bing Qin |
| 2023 | ACL | TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition. | Weixiang Zhao, Yanyan Zhao, Shilong Wang, Bing Qin |
| 2023 | ACL | A Diffusion Model for Event Skeleton Generation. | Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang |
| 2023 | EMNLP | Hierarchical Catalogue Generation for Literature Review: A Benchmark. | Kun Zhu, Xiaocheng Feng, Xiachong Feng, Yingsheng Wu, Bing Qin |
| 2023 | EMNLP | In-context Learning for Few-shot Multimodal Named Entity Recognition. | Chenran Cai, Qianlong Wang, Bin Liang, Bing Qin, Min Yang, Kam-Fai Wong, Ruifeng Xu |
| 2023 | EMNLP | MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document. | Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin |
| 2023 | EMNLP | Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making. | Yanrui Du, Sendong Zhao, Haochun Wang, Yuhan Chen, Rui Bai, Zewen Qiang, Muzhen Cai, Bing Qin |
| 2023 | EMNLP | Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations. | Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Hui Wang, Bing Qin, Ting Liu |
| 2023 | EMNLP | Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation. | Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu |
| 2023 | EMNLP | An Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations. | Geng Tu, Bin Liang, Bing Qin, Kam-Fai Wong, Ruifeng Xu |
| 2023 | EMNLP | C2D2 Dataset: A Resource for the Cognitive Distortion Analysis and Its Impact on Mental Health. | Bichen Wang, Pengfei Deng, Yanyan Zhao, Bing Qin |
| 2023 | EMNLP | Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate. | Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin |
| 2023 | EMNLP | Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. | Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu |
| 2023 | ICASSP | Dialogue Context Modelling for Action Item Detection: Solution for ICASSP 2023 Mug Challenge Track 5. | Jie Huang, Xiachong Feng, Yangfan Ye, Liang Zhao, Xiaocheng Feng, Bing Qin, Ting Liu |
| 2023 | ICASSP | A Topic-Enhanced Approach for Emotion Distribution Forecasting in Conversations. | Xin Lu, Weixiang Zhao, Yanyan Zhao, Bing Qin, Zhentao Zhang, Junjie Wen |
| 2023 | IJCAI | Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation. | Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Bing Qin |
| 2023 | IJCAI | GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation. | Jiafeng Liang, Yuxin Wang, Zekun Wang, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin |
| 2023 | WSDM | Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark. | Zhenran Xu, Zifei Shan, Yuxin Li, Baotian Hu, Bing Qin |
| 2022 | ACL | A Graph Enhanced BERT Model for Event Prediction. | Li Du, Xiao Ding, Yue Zhang, Ting Liu, Bing Qin |
| 2022 | ACL | e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. | Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin |
| 2022 | ACL | Improving Controllable Text Generation with Position-Aware Weighted Decoding. | Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Jiaming Wu, Heng Gong, Bing Qin |
| 2022 | ACL | Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors. | Yang Wu, Yanyan Zhao, Hao Yang, Song Chen, Bing Qin, Xiaohuan Cao, Wenting Zhao |
| 2022 | COLING | CogBERT: Cognition-Guided Pre-trained Language Models. | Xiao Ding, Bowen Chen, Li Du, Bing Qin, Ting Liu |
| 2022 | COLING | Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. | Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu |
| 2022 | COLING | SSR: Utilizing Simplified Stance Reasoning Process for Robust Stance Detection. | Jianhua Yuan, Yanyan Zhao, Yanyue Lu, Bing Qin |
| 2022 | COLING | MuCDN: Mutual Conversational Detachment Network for Emotion Recognition in Multi-Party Conversations. | Weixiang Zhao, Yanyan Zhao, Bing Qin |
| 2022 | EMNLP | A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism. | Jianzhu Bao, Yuhang He, Yang Sun, Bin Liang, Jiachen Du, Bing Qin, Min Yang, Ruifeng Xu |
| 2022 | EMNLP | A Distributional Lens for Multi-Aspect Controllable Text Generation. | Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin |
| 2022 | EMNLP | Unifying the Convergences in Multilingual Neural Machine Translation. | Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin |
| 2022 | EMNLP | Masked Language Models Know Which are Popular: A Simple Ranking Strategy for Commonsense Question Answering. | Xuan Luo, Chuang Fan, Yice Zhang, Wanguo Jiang, Bing Qin, Ruifeng Xu |
| 2022 | EMNLP | Distilled Dual-Encoder Model for Vision-Language Understanding. | Zekun Wang, Wenhui Wang, Haichao Zhu, Ming Liu, Bing Qin, Furu Wei |
| 2022 | EMNLP | STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing. | Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu |
| 2022 | EMNLP | ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. | Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Ting Liu, Bing Qin, Yi Zheng, Baoxing Huai |
| 2022 | EMNLP | Face-Sensitive Image-to-Emotional-Text Cross-modal Translation for Multimodal Aspect-based Sentiment Analysis. | Hao Yang, Yanyan Zhao, Bing Qin |
| 2022 | IJCAI | A Survey on Dialogue Summarization: Recent Advances and New Frontiers. | Xiachong Feng, Xiaocheng Feng, Bing Qin |
| 2022 | SIGIR | Masking and Generation: An Unsupervised Method for Sarcasm Detection. | Rui Wang, Qianlong Wang, Bin Liang, Yi Chen, Zhiyuan Wen, Bing Qin, Ruifeng Xu |
| 2021 | ACL | Learning Event Graph Knowledge for Abductive Reasoning. | Li Du, Xiao Ding, Ting Liu, Bing Qin |
| 2021 | ACL | ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning. | Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin |
| 2021 | ACL | Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization. | Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu |
| 2021 | ACL | A Text-Centered Shared-Private Framework via Cross-Modal Prediction for Multimodal Sentiment Analysis. | Yang Wu, Zijie Lin, Yanyan Zhao, Bing Qin, Li-Nan Zhu |
| 2021 | CIKM | GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps. | Yibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu, Bing Qin |
| 2021 | EMNLP | Learning to Rewrite for Non-Autoregressive Neural Machine Translation. | Xinwei Geng, Xiaocheng Feng, Bing Qin |
| 2021 | EMNLP | Retrieve, Discriminate and Rewrite: A Simple and Effective Framework for Obtaining Affective Response in Retrieval-Based Chatbots. | Xin Lu, Yijian Tian, Yanyan Zhao, Bing Qin |
| 2021 | EMNLP | Neural Natural Logic Inference for Interpretable Question Answering. | Jihao Shi, Xiao Ding, Li Du, Ting Liu, Bing Qin |
| 2021 | EMNLP | Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension. | Haichao Zhu, Zekun Wang, Heng Zhang, Ming Liu, Sendong Zhao, Bing Qin |
| 2021 | IJCAI | Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization. | Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng |
| 2021 | IJCNN | DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. | Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu |
| 2020 | AAAI | Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation. | Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu |
| 2020 | AAAI | Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. | Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang |
| 2020 | ACL | How Does Selective Mechanism Improve Self-Attention Networks? | Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu |
| 2020 | COLING | TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching. | Heng Gong, Yawei Sun, Xiaocheng Feng, Bing Qin, Wei Bi, Xiaojiang Liu, Ting Liu |
| 2020 | COLING | Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. | Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin |
| 2020 | COLING | An Iterative Emotion Interaction Network for Emotion Recognition in Conversations. | Xin Lu, Yanyan Zhao, Yang Wu, Yijian Tian, Huipeng Chen, Bing Qin |
| 2020 | EMNLP | Revisiting Pre-Trained Models for Chinese Natural Language Processing. | Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu |
| 2020 | EMNLP | CodeBERT: A Pre-Trained Model for Programming and Natural Languages. | Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou |
| 2020 | EMNLP | Enhancing Content Planning for Table-to-Text Generation with Data Understanding and Verification. | Heng Gong, Wei Bi, Xiaocheng Feng, Bing Qin, Xiaojiang Liu, Ting Liu |
| 2019 | AAAI | Exploring Answer Stance Detection with Recurrent Conditional Attention. | Jianhua Yuan, Yanyan Zhao, Jingfang Xu, Bing Qin |
| 2019 | ACL | Learning to Ask Unanswerable Questions for Machine Reading Comprehension. | Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu |
| 2019 | EMNLP | Enhancing Neural Data-To-Text Generation Models with External Background Knowledge. | Shuang Chen, Jinpeng Wang, Xiaocheng Feng, Feng Jiang, Bing Qin, Chin-Yew Lin |
| 2019 | EMNLP | Cross-Lingual Machine Reading Comprehension. | Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu |
| 2019 | EMNLP | Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time). | Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu |
| 2019 | EMNLP | Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text. | Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang |
| 2019 | KDD | The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model. | Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang |
| 2018 | AAAI | Hierarchical Attention Flow for Multiple-Choice Reading Comprehension. | Haichao Zhu, Furu Wei, Bing Qin, Ting Liu |
| 2018 | ACL | Distilling Knowledge for Search-based Structured Prediction. | Yijia Liu, Wanxiang Che, Huaipeng Zhao, Bing Qin, Ting Liu |
| 2018 | ACL | Semantic Parsing with Syntax- and Table-Aware SQL Generation. | Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou |
| 2018 | EMNLP | Adaptive Multi-pass Decoder for Neural Machine Translation. | Xinwei Geng, Xiaocheng Feng, Bing Qin, Ting Liu |
| 2018 | EMNLP | An AMR Aligner Tuned by Transition-based Parser. | Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin, Ting Liu |
| 2018 | IJCAI | Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer. | Xiaocheng Feng, Xiachong Feng, Bing Qin, Zhangyin Feng, Ting Liu |
| 2018 | IJCAI | Topic-to-Essay Generation with Neural Networks. | Xiaocheng Feng, Ming Liu, Jiahao Liu, Bing Qin, Yibo Sun, Ting Liu |
| 2018 | NAACL | Parsing Tweets into Universal Dependencies. | Yijia Liu, Yi Zhu, Wanxiang Che, Bing Qin, Nathan Schneider, Noah A. Smith |
| 2017 | ACL | Benben: A Chinese Intelligent Conversational Robot. | Weinan Zhang, Ting Liu, Bing Qin, Yu Zhang, Wanxiang Che, Yanyan Zhao, Xiao Ding |
| 2017 | IJCAI | Effective Deep Memory Networks for Distant Supervised Relation Extraction. | Xiaocheng Feng, Jiang Guo, Bing Qin, Ting Liu, Yongjie Liu |
| 2017 | IJCAI | ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data. | Stan Zhao, Meng Jiang, Quan Yuan, Bing Qin, Ting Liu, ChengXiang Zhai |
| 2017 | WSDM | Constructing and Embedding Abstract Event Causality Networks from Text Snippets. | Sendong Zhao, Quan Wang, Sean Massung, Bing Qin, Ting Liu, Bin Wang, ChengXiang Zhai |
| 2016 | ACL | A Language-Independent Neural Network for Event Detection. | Xiaocheng Feng, Lifu Huang, Duyu Tang, Heng Ji, Bing Qin, Ting Liu |
| 2016 | COLING | English-Chinese Knowledge Base Translation with Neural Network. | Xiaocheng Feng, Duyu Tang, Bing Qin, Ting Liu |
| 2016 | COLING | Effective LSTMs for Target-Dependent Sentiment Classification. | Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu |
| 2016 | EMNLP | Aspect Level Sentiment Classification with Deep Memory Network. | Duyu Tang, Bing Qin, Ting Liu |
| 2016 | IJCAI | Exploring Segment Representations for Neural Segmentation Models. | Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, Ting Liu |
| 2016 | IJCAI | HC-Search for Incremental Parsing. | Yijia Liu, Wanxiang Che, Bing Qin, Ting Liu |
| 2015 | ACL | Learning Semantic Representations of Users and Products for Document Level Sentiment Classification. | Duyu Tang, Bing Qin, Ting Liu |
| 2015 | ACL | Encoding Distributional Semantics into Triple-Based Knowledge Ranking for Document Enrichment. | Muyu Zhang, Bing Qin, Mao Zheng, Graeme Hirst, Ting Liu |
| 2015 | EMNLP | Document Modeling with Gated Recurrent Neural Network for Sentiment Classification. | Duyu Tang, Bing Qin, Ting Liu |
| 2015 | IJCAI | User Modeling with Neural Network for Review Rating Prediction. | Duyu Tang, Bing Qin, Ting Liu, Yuekui Yang |
| 2015 | NAACL | Transition-Based Syntactic Linearization. | Yijia Liu, Yue Zhang, Wanxiang Che, Bing Qin |
| 2015 | NAACL | Encoding World Knowledge in the Evaluation of Local Coherence. | Muyu Zhang, Vanessa Wei Feng, Bing Qin, Graeme Hirst, Ting Liu, Jingwen Huang |
| 2014 | ACL | Learning Semantic Hierarchies via Word Embeddings. | Ruiji Fu, Jiang Guo, Bing Qin, Wanxiang Che, Haifeng Wang, Ting Liu |
| 2014 | ACL | Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification. | Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Ting Liu, Bing Qin |
| 2014 | COLING | Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach. | Duyu Tang, Furu Wei, Bing Qin, Ming Zhou, Ting Liu |
| 2014 | COLING | Triple based Background Knowledge Ranking for Document Enrichment. | Muyu Zhang, Bing Qin, Ting Liu, Mao Zheng |
| 2014 | COLING | Sentence Compression for Target-Polarity Word Collocation Extraction. | Yanyan Zhao, Wanxiang Che, Honglei Guo, Bing Qin, Zhong Su, Ting Liu |
| 2014 | EMNLP | A Joint Segmentation and Classification Framework for Sentiment Analysis. | Duyu Tang, Furu Wei, Bing Qin, Li Dong, Ting Liu, Ming Zhou |
| 2013 | EMNLP | Improving Web Search Ranking by Incorporating Structured Annotation of Queries. | Xiao Ding, Zhicheng Dou, Bing Qin, Ting Liu, Ji-Rong Wen |
| 2013 | EMNLP | Exploiting Multiple Sources for Open-Domain Hypernym Discovery. | Ruiji Fu, Bing Qin, Ting Liu |
| 2013 | EMNLP | Microblog Entity Linking by Leveraging Extra Posts. | Yuhang Guo, Bing Qin, Ting Liu, Sheng Li |
| 2013 | IJCNLP | Building Chinese Event Type Paradigm Based on Trigger Clustering. | Xiao Ding, Bing Qin, Ting Liu |
| 2013 | IJCNLP | Topical Key Concept Extraction from Folksonomy. | Han Xue, Bing Qin, Ting Liu, Chao Xiang |
| 2013 | NLDB | Improving Candidate Generation for Entity Linking. | Yuhang Guo, Bing Qin, Yuqin Li, Ting Liu, Sheng Li |
| 2012 | EMNLP | Collocation Polarity Disambiguation Using Web-based Pseudo Contexts. | Yanyan Zhao, Bing Qin, Ting Liu |
| 2011 | CoNLL | Coreference Resolution System using Maximum Entropy Classifier. | Wei-Peng Chen, Muyu Zhang, Bing Qin |
| 2011 | IJCNLP | Generating Chinese Named Entity Data from a Parallel Corpus. | Ruiji Fu, Bing Qin, Ting Liu |
| 2010 | NAACL | Generalizing Syntactic Structures for Product Attribute Candidate Extraction. | Yanyan Zhao, Bing Qin, Shen Hu, Ting Liu |
| 2009 | CoNLL | Multilingual Dependency-based Syntactic and Semantic Parsing. | Wanxiang Che, Zhenghua Li, Yongqiang Li, Yuhang Guo, Bing Qin, Ting Liu |
| 2008 | CoNLL | A Cascaded Syntactic and Semantic Dependency Parsing System. | Wanxiang Che, Zhenghua Li, Yuxuan Hu, Yongqiang Li, Bing Qin, Ting Liu, Sheng Li |