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Jingang Wang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

85

Venues

15

Active years

2013–2026

Best venue rank

A*

Where they publish

Papers

85 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIFrom Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling.Zhengyu Chen, Yudong Wang, Teng Xiao, Ruochen Zhou, Xuesheng Yang, Wei Wang, Zhifang Sui, Jingang Wang
2026AAAIRethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective.Deyang Kong, Qi Guo, Xiangyu Xi, Wei Wang, Jingang Wang, Xunliang Cai, Shikun Zhang, Wei Ye
2026AAAIScaling and Transferability of Annealing Strategies in Large Language Model Training.Siqi Wang, Zhengyu Chen, Teng Xiao, Zheqi Lv, Jinluan Yang, Xunliang Cai, Jingang Wang, Xiaomeng Li
2026ACLLANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance.Yuchun Fan, Bei Li, Peiguang Li, Yilin Wang, Yongyu Mu, Jian Yang, Xin Chen, Rongxiang Weng, Jingang Wang, Xunliang Cai, JingBo Zhu, Tong Xiao
2026ACLBAPO: Boundary-Aware Policy Optimization for Reliable Agentic Search.Shiyu Liu, Yongjing Yin, Jianhao Yan, Yunbo Tang, Qinggang Zhang, Bei Li, Xin Chen, Jingang Wang, Xunliang Cai, Jinsong Su
2026ACLMTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks.Junhao Ruan, Abudukeyumu Abudula, Bei Li, Yongjing Yin, Xinyu Liu, Kechen Jiao, Xin Chen, Jingang Wang, Xunliang Cai, Tong Xiao, Jingbo Zhu
2026ACLBaseCal: Unsupervised Confidence Calibration via Base Model Signals.Hexiang Tan, Wanli Yang, Junwei Zhang, Xin Chen, Rui Tang, Du Su, Jingang Wang, Yuanzhuo Wang, Fei Sun, Xueqi Cheng
2026ACLThe Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis.Zihao Wei, Liang Pang, Jiahao Liu, Wenjie Shi, Jingcheng Deng, Shicheng Xu, Zenghao Duan, Jingang Wang, Fei Sun, Huawei Shen, Xueqi Cheng
2026ACLUnlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text.Zhihao Xu, Rumei Li, Jiahuan Li, Rongxiang Weng, Jingang Wang, Xunliang Cai, Xiting Wang
2026ACLLinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points.Xuemiao Zhang, Can Ren, Chengying Tu, Rongxiang Weng, Hongfei Yan, Jingang Wang, Xunliang Cai
2026ACLLarge-Scale Diverse Synthesis for Mid-Training.Xuemiao Zhang, Chengying Tu, Can Ren, Rongxiang Weng, Hongfei Yan, Jingang Wang, Xunliang Cai
2025AAAISEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models.Muxi Diao, Rumei Li, Shiyang Liu, Guogang Liao, Jingang Wang, Xunliang Cai, Weiran Xu
2025ACLRevisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies.Zhengyu Chen, Siqi Wang, Teng Xiao, Yudong Wang, Shiqi Chen, Xunliang Cai, Junxian He, Jingang Wang
2025ACLMulti-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
2025ACLInvestigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training.Zhijun Wang, Jiahuan Li, Hao Zhou, Rongxiang Weng, Jingang Wang, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Shujian Huang
2025ACLFRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy.Xuemiao Zhang, Feiyu Duan, Liangyu Xu, Yongwei Zhou, Sirui Wang, Rongxiang Weng, Jingang Wang, Xunliang Cai
2025ACLPreference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data.Xuemiao Zhang, Liangyu Xu, Feiyu Duan, Yongwei Zhou, Sirui Wang, Rongxiang Weng, Jingang Wang, Xunliang Cai
2025COLINGSibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference.Lanrui Wang, Jiangnan Li, Chenxu Yang, Zheng Lin, Hongyin Tang, Huan Liu, Yanan Cao, Jingang Wang, Weiping Wang
2025EMNLPJailbreak LLMs through Internal Stance Manipulation.Shuangjie Fu, Du Su, Beining Huang, Fei Sun, Jingang Wang, Wei Chen, Huawei Shen, Xueqi Cheng
2025EMNLPTCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making.Kechen Jiao, Zhirui Fang, Jiahao Liu, Bei Li, Qifan Wang, Xinyu Liu, Junhao Ruan, Zhongjian Qiao, Yifan Zhu, Yaxin Xu, Jingang Wang, Xiu Li
2025EMNLPIIET: Efficient Numerical Transformer via Implicit Iterative Euler Method.Xinyu Liu, Bei Li, Jiahao Liu, Junhao Ruan, Kechen Jiao, Hongyin Tang, Jingang Wang, Tong Xiao, JingBo Zhu
2025EMNLPToo Consistent to Detect: A Study of Self-Consistent Errors in LLMs.Hexiang Tan, Fei Sun, Sha Liu, Du Su, Qi Cao, Xin Chen, Jingang Wang, Xunliang Cai, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng
2025EMNLPSampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity.Xiangyu Xi, Deyang Kong, Jian Yang, Jiawei Yang, Zhengyu Chen, Wei Wang, Jingang Wang, Xunliang Cai, Shikun Zhang, Wei Ye
2025EMNLPFIRE: Flexible Integration of Data Quality Ratings for Effective Pretraining.Liangyu Xu, Xuemiao Zhang, Feiyu Duan, Sirui Wang, Rongxiang Weng, Jingang Wang, Xunliang Cai
2025EMNLPReMamba: Equip Mamba with Effective Long-Sequence Modeling.Danlong Yuan, Jiahao Liu, Bei Li, Huishuai Zhang, Jingang Wang, Xunliang Cai, Dongyan Zhao
2025EMNLPLeveraging Unpaired Feedback for Long-Term LLM-based Recommendation Tuning.Jizhi Zhang, Chongming Gao, Wentao Shi, Xi-Lin Chen, Jingang Wang, Xunliang Cai, Fuli Feng
2025ICLRAgentRefine: Enhancing Agent Generalization through Refinement Tuning.Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma Gongque, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu
2025ICLREarlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective.Ruichen Shao, Bei Li, Gangao Liu, Yang Chen, ZhouXiang, Jingang Wang, Xunliang Cai, Peng Li
2025NAACLDynamic Fisher-weighted Model Merging via Bayesian Optimization.Sanwoo Lee, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Yunfang Wu
2024AAAIWhat Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation.Zhuocheng Gong, Jiahao Liu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan
2024AAAICoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding.Yaoyuan Liang, Xiao Liang, Yansong Tang, Zhao Yang, Ziran Li, Jingang Wang, Wenbo Ding, Shao-Lun Huang
2024AAAIMCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning.Ying Mo, Jian Yang, Jiahao Liu, Qifan Wang, Ruoyu Chen, Jingang Wang, Zhoujun Li
2024ACLGraph-Structured Speculative Decoding.Zhuocheng Gong, Jiahao Liu, Ziyue Wang, Pengfei Wu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan
2024ACLSpeculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism.Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai
2024ACLDolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai
2024COLINGBeyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection.Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2024COLINGTask-agnostic Distillation of Encoder-Decoder Language Models.Chen Zhang, Yang Yang, Qiuchi Li, Jingang Wang, Dawei Song
2024EACLMinimal Distillation Schedule for Extreme Language Model Compression.Chen Zhang, Yang Yang, Qifan Wang, Jiahao Liu, Jingang Wang, Wei Wu, Dawei Song
2024EMNLPLet's Ask GNN: Empowering Large Language Model for Graph In-Context Learning.Zhengyu Hu, Yichuan Li, Zhengyu Chen, Jingang Wang, Han Liu, Kyumin Lee, Kaize Ding
2024EMNLPForgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models.Xinyu Liu, Runsong Zhao, Pengcheng Huang, Chunyang Xiao, Bei Li, Jingang Wang, Tong Xiao, JingBo Zhu
2024EMNLPC-ICL: Contrastive In-context Learning for Information Extraction.Ying Mo, Jiahao Liu, Jian Yang, Qifan Wang, Shun Zhang, Jingang Wang, Zhoujun Li
2024EMNLPHow Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data.Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu
2024EMNLPScaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models.Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang
2024EMNLPEAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction.Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu
2023ACLPreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models.Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan
2023ACLRankCSE: Unsupervised Sentence Representations Learning via Learning to Rank.Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen, Rui Yan
2023ACLDecoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery.Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu
2023ACLFusion or Defusion? Flexible Vision-and-Language Pre-Training.Rongyi Sun, Ziran Li, Yifeng Ding, Qifan Wang, Jingang Wang, Haitao Zheng, Wei Wu, Yunsen Xian
2023ACLMUSTIE: Multimodal Structural Transformer for Web Information Extraction.Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu
2023ACLMixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction.Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu
2023ACLFutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue.Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu
2023ACLSeen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation.Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu
2023ACLLifting the Curse of Capacity Gap in Distilling Language Models.Chen Zhang, Yang Yang, Jiahao Liu, Jingang Wang, Yunsen Xian, Benyou Wang, Dawei Song
2023EMNLPImproving Input-label Mapping with Demonstration Replay for In-context Learning.Zhuocheng Gong, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan
2023EMNLPRetrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression.Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Xunliang Cai, Dongyan Zhao, Ran Wang, Rui Yan
2023EMNLPLarge Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT.Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023EMNLPAPP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection.Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023EMNLPAPrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models.Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu
2023ICASSPMulti-Task Transformer with Relation-Attention and Type-Attention for Named Entity Recognition.Ying Mo, Hongyin Tang, Jiahao Liu, Qifan Wang, Zenglin Xu, Jingang Wang, Wei Wu, Zhoujun Li
2022ACLKnowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification.Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, Jingang Wang, Juanzi Li, Wei Wu, Maosong Sun
2022CIKMUnified Knowledge Prompt Pre-training for Customer Service Dialogues.Keqing He, Jingang Wang, Chaobo Sun, Wei Wu
2022COLINGCLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations.Borun Chen, Hongyin Tang, Jiahao Bu, Kai Zhang, Jingang Wang, Qifan Wang, Hai-Tao Zheng, Wei Wu, Liqian Yu
2022COLINGGeneralized Intent Discovery: Learning from Open World Dialogue System.Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu
2022COLINGStructural Bias for Aspect Sentiment Triplet Extraction.Chen Zhang, Lei Ren, Fang Ma, Jingang Wang, Wei Wu, Dawei Song
2022CSCWDOne-Shot Detection of Malicious TLS Traffic.Gaofeng He, Qianfeng Wei, Jingang Wang, Haiting Zhu, Bingfeng Xu
2022EMNLPGNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval.Jiduan Liu, Jiahao Liu, Yang Yang, Jingang Wang, Wei Wu, Dongyan Zhao, Rui Yan
2022EMNLPVIRT: Improving Representation-based Text Matching via Virtual Interaction.Dan Li, Yang Yang, Hongyin Tang, Jiahao Liu, Qifan Wang, Jingang Wang, Tong Xu, Wei Wu, Enhong Chen
2022EMNLPXPrompt: Exploring the Extreme of Prompt Tuning.Fang Ma, Chen Zhang, Lei Ren, Jingang Wang, Qifan Wang, Wei Wu, Xiaojun Quan, Dawei Song
2022EMNLPWatch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery.Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu
2022EMNLPUniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning.Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu
2022EMNLPSMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction.Qifan Wang, Li Yang, Jingang Wang, Jitin Krishnan, Bo Dai, Sinong Wang, Zenglin Xu, Madian Khabsa, Hao Ma
2022EMNLPMaking Pretrained Language Models Good Long-tailed Learners.Chen Zhang, Lei Ren, Jingang Wang, Wei Wu, Dawei Song
2022WWWDeep Partial Multiplex Network Embedding.Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu
2022SIGIRPersonalized Abstractive Opinion Tagging.Mengxue Zhao, Yang Yang, Miao Li, Jingang Wang, Wei Wu, Pengjie Ren, Maarten de Rijke, Zhaochun Ren
2021ACLImproving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval.Hongyin Tang, Xingwu Sun, Beihong Jin, Jingang Wang, Fuzheng Zhang, Wei Wu
2021NAACLASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction.Jiahao Bu, Lei Ren, Shuang Zheng, Yang Yang, Jingang Wang, Fuzheng Zhang, Wei Wu
2020CIKMQuery-aware Tip Generation for Vertical Search.Yang Yang, Junmei Hao, Canjia Li, Zili Wang, Jingang Wang, Fuzheng Zhang, Rao Fu, Peixu Hou, Gong Zhang, Zhongyuan Wang
2019IJCAIEarlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis.Bowen Xing, Lejian Liao, Dandan Song, Jingang Wang, Fuzheng Zhang, Zhongyuan Wang, Heyan Huang
2018AAAIA Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data.Jingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan
2018ECIRAn Adversarial Joint Learning Model for Low-Resource Language Semantic Textual Similarity.Junfeng Tian, Man Lan, Yuanbin Wu, Jingang Wang, Long Qiu, Sheng Li, Jun Lang, Luo Si
2016ECIRCold Start Cumulative Citation Recommendation for Knowledge Base Acceleration.Jingang Wang, Jingtian Jiang, Lejian Liao, Dandan Song, Zhiwei Zhang, Chin-Yew Lin
2016ECIRSupervised Local Contexts Aggregation for Effective Session Search.Zhiwei Zhang, Jingang Wang, Tao Wu, Pengjie Ren, Zhumin Chen, Luo Si
2015EMNLPLDTM: A Latent Document Type Model for Cumulative Citation Recommendation.Jingang Wang, Dandan Song, Zhiwei Zhang, Lejian Liao, Luo Si, Chin-Yew Lin
2015SIGIRAn Entity Class-Dependent Discriminative Mixture Model for Cumulative Citation Recommendation.Jingang Wang, Dandan Song, Qifan Wang, Zhiwei Zhang, Luo Si, Lejian Liao, Chin-Yew Lin
2013APWEBA Self-healing Framework for QoS-Aware Web Service Composition via Case-Based Reasoning.Guoqiang Li, Lejian Liao, Dandan Song, Jingang Wang, Fuzhen Sun, Guangcheng Liang