Granular computing in visual haze-free task. - Hong Hu 001; Liang Pang 001; Dongping Tian; Zhongzhi Shi (GrC, 2013)

Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches. - Xudong Liu; Bing Xu; Yuyu Zhang; Qiang Yan; Liang Pang 001; Qiang Li 024; Hanxiao Sun; Bin Wang 004 (CoRR, 2013)

A hybrid approach of PTSVM and ELM inspired by samples' geometric distribution structure. - Hong Hu 001; Panyi Ouyang; Liang Pang 001; Zhongzhi Shi (GrC, 2014)

Large Scale Purchase Prediction with Historical User Actions on B2C Online Retail Platform. - Yuyu Zhang; Liang Pang 001; Lei Shi 015; Bin Wang 004 (CoRR, 2014)

Perception granular computing in visual haze-free task. - Hong Hu 001; Liang Pang 001; Dongping Tian; Zhongzhi Shi (Expert Syst. Appl., 2014)

SPAN: Understanding a Question with Its Support Answers. - Liang Pang 001; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Xueqi Cheng (AAAI, 2016)

Text Matching as Image Recognition. - Liang Pang 001; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Shengxian Wan; Xueqi Cheng (AAAI, 2016)

A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. - Shengxian Wan; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Liang Pang 001; Xueqi Cheng (AAAI, 2016)

Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval. - Liu Yang 005; Qingyao Ai; Damiano Spina; Ruey-Cheng Chen; Liang Pang 001; W. Bruce Croft; Jiafeng Guo; Falk Scholer (ECIR, 2016)

Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. - Shengxian Wan; Yanyan Lan; Jun Xu 001; Jiafeng Guo; Liang Pang 001; Xueqi Cheng (IJCAI, 2016)

A Study of MatchPyramid Models on Ad-hoc Retrieval. - Liang Pang 001; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Xueqi Cheng (CoRR, 2016)

Image matting in the perception granular deep learning. - Hong Hu 001; Liang Pang 001; Zhongzhi Shi (Knowl. Based Syst., 2016)

Locally Smoothed Neural Networks. - Liang Pang 001; Yanyan Lan; Jun Xu 001; Jiafeng Guo; Xueqi Cheng (ACML, 2017)

Learning Visual Features from Snapshots for Web Search. - Yixing Fan; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Liang Pang 001; Xueqi Cheng (CIKM, 2017)

DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval. - Liang Pang 001; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Jingfang Xu; Xueqi Cheng (CIKM, 2017)

MatchZoo: A Toolkit for Deep Text Matching. - Yixing Fan; Liang Pang 001; Jianpeng Hou; Jiafeng Guo; Yanyan Lan; Xueqi Cheng (CoRR, 2017)

A Deep Investigation of Deep IR Models. - Liang Pang 001; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Xueqi Cheng (CoRR, 2017)

RI-Match: Integrating Both Representations and Interactions for Deep Semantic Matching. - Lijuan Chen; Yanyan Lan; Liang Pang 001; Jiafeng Guo; Jun Xu 001; Xueqi Cheng (AIRS, 2018)

Continual Match Based Training in Pommerman: Technical Report. - Peng Peng; Liang Pang 001; Yufeng Yuan; Chao Gao (CoRR, 2018)

HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering. - Liang Pang 001; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Lixin Su; Xueqi Cheng (AAAI, 2019)

ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation. - Hainan Zhang; Yanyan Lan; Liang Pang 001; Jiafeng Guo; Xueqi Cheng (ACL (1), 2019)

Ranking Enhanced Dialogue Generation. - Changying Hao; Liang Pang 001; Yanyan Lan; Fei Sun 001; Jiafeng Guo; Xueqi Cheng (CIKM, 2020)

METNet: A Mutual Enhanced Transformation Network for Aspect-based Sentiment Analysis. - Bin Jiang 006; Jing Hou; Wanyue Zhou; Chao Yang 015; Shihan Wang 001; Liang Pang 001 (COLING, 2020)

PEDNet: A Persona Enhanced Dual Alternating Learning Network for Conversational Response Generation. - Bin Jiang 006; Wanyue Zhou; Jingxu Yang; Chao Yang 015; Shihan Wang 001; Liang Pang 001 (COLING, 2020)

Beyond Language: Learning Commonsense from Images for Reasoning. - Wanqing Cui; Yanyan Lan; Liang Pang 001; Jiafeng Guo; Xueqi Cheng (EMNLP (Findings), 2020)

Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. - Weijie Yu 003; Chen Xu 010; Jun Xu 001; Liang Pang 001; Xiaopeng Gao; Xiaozhao Wang; Ji-Rong Wen (EMNLP (1), 2020)

Bursty Event Detection via Multichannel Feature Alignment. - Guangsheng Kuang; Yan Guo; Yue Liu; Liang Pang 001; Zhihua Yu; Xueqi Cheng; Jinlong Liu; Xiaoming Yu (ICBDC, 2020)

Evaluating Natural Language Generation via Unbalanced Optimal Transport. - Yimeng Chen; Yanyan Lan; Ruibin Xiong; Liang Pang 001; Zhiming Ma; Xueqi Cheng (IJCAI, 2020)

Modeling Topical Relevance for Multi-Turn Dialogue Generation. - Hainan Zhang; Yanyan Lan; Liang Pang 001; Hongshen Chen; Zhuoye Ding; Dawei Yin (IJCAI, 2020)

SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. - Liang Pang 001; Jun Xu 001; Qingyao Ai; Yanyan Lan; Xueqi Cheng; Jirong Wen (SIGIR, 2020)

L2R²: Leveraging Ranking for Abductive Reasoning. - Yunchang Zhu; Liang Pang 001; Yanyan Lan; Xueqi Cheng (SIGIR, 2020)

L2R2: Leveraging Ranking for Abductive Reasoning. - Yunchang Zhu; Liang Pang 001; Yanyan Lan; Xueqi Cheng (CoRR, 2020)

Robust Reinforcement Learning with Wasserstein Constraint. - Linfang Hou; Liang Pang 001; Xin Hong; Yanyan Lan; Zhiming Ma; Dawei Yin (CoRR, 2020)

A Deep Look into neural ranking models for information retrieval. - Jiafeng Guo; Yixing Fan; Liang Pang 001; Liu Yang 005; Qingyao Ai; Hamed Zamani; Chen Wu; W. Bruce Croft; Xueqi Cheng (Inf. Process. Manag., 2020)

Knowledge Augmented Dialogue Generation with Divergent Facts Selection. - Bin Jiang 006; Jingxu Yang; Chao Yang 015; Wanyue Zhou; Liang Pang 001; Xiaokang Zhou (Knowl. Based Syst., 2020)

Sketch and Customize: A Counterfactual Story Generator. - Changying Hao; Liang Pang 001; Yanyan Lan; Yan Wang; Jiafeng Guo; Xueqi Cheng (AAAI, 2021)

Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. - Liang Pang 001; Yanyan Lan; Xueqi Cheng (CIKM, 2021)

Transformation Driven Visual Reasoning. - Xin Hong; Yanyan Lan; Liang Pang 001; Jiafeng Guo; Xueqi Cheng (CVPR, 2021)

Transductive Learning for Unsupervised Text Style Transfer. - Fei Xiao; Liang Pang 001; Yanyan Lan; Yan Wang; Huawei Shen; Xueqi Cheng (EMNLP (1), 2021)

Adaptive Information Seeking for Open-Domain Question Answering. - Yunchang Zhu; Liang Pang 001; Yanyan Lan; Huawei Shen; Xueqi Cheng (EMNLP (1), 2021)

Uncertainty Calibration for Ensemble-Based Debiasing Methods. - Ruibin Xiong; Yimeng Chen; Liang Pang 001; Xueqi Cheng; Zhi-Ming Ma; Yanyan Lan (NeurIPS, 2021)

Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. - Liang Pang 001; Qingyao Ai; Jun Xu 001 (SIGIR, 2021)

Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm. - Lin Bo; Liang Pang 001; Gang Wang 056; Jun Xu 001; XiuQiang He 001; Ji-Rong Wen (CoRR, 2021)

Toward the Understanding of Deep Text Matching Models for Information Retrieval. - Lijuan Chen; Yanyan Lan; Liang Pang 001; Jiafeng Guo; Xueqi Cheng (CoRR, 2021)

Uncertainty Calibration for Ensemble-Based Debiasing Methods. - Ruibin Xiong; Yimeng Chen; Liang Pang 001; Xueqi Cheng; Yanyan Lan (CoRR, 2021)

Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. - Shicheng Xu; Liang Pang 001; Huawei Shen; Xueqi Cheng (CIKM, 2022)

Optimal Partial Transport Based Sentence Selection for Long-form Document Matching. - Weijie Yu 003; Liang Pang 001; Jun Xu 001; Bing Su 001; Zhenhua Dong; Ji-Rong Wen (COLING, 2022)

Region-based Cross-modal Retrieval. - Dan Yang Hou; Liang Pang 001; Yanyan Lan; Huawei Shen; Xueqi Cheng (IJCNN, 2022)

Dual-Channel Localization Networks for Moment Retrieval with Natural Language. - Bolin Zhang; Bin Jiang 006; Chao Yang 015; Liang Pang 001 (ICMR, 2022)

LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. - Yunchang Zhu; Liang Pang 001; Yanyan Lan; Huawei Shen; Xueqi Cheng (SIGIR, 2022)

Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. - Shicheng Xu; Liang Pang 001; Huawei Shen; Xueqi Cheng (CoRR, 2022)

Distribution Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. - Weijie Yu 003; Chen Xu 010; Jun Xu 001; Liang Pang 001; Ji-Rong Wen (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation. - Pingsheng Liu; Zhengjie Huang; Xiechi Zhang; Linlin Wang; Gerard de Melo; Xin Lin 001; Liang Pang 001; Liang He 001 (AAAI, 2023)

BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval. - Shicheng Xu; Liang Pang 001; Huawei Shen; Xueqi Cheng (ACL (1), 2023)

SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation. - Junkai Zhou; Liang Pang 001; Huawei Shen; Xueqi Cheng (ACL (1), 2023)

RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling. - Jingcheng Deng; Liang Pang 001; Huawei Shen; Xueqi Cheng (EMNLP (Findings), 2023)

MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. - Hanxing Ding; Liang Pang 001; Zihao Wei; Huawei Shen; Xueqi Cheng; Tat-Seng Chua (EMNLP (Findings), 2023)

LLMDet: A Third Party Large Language Models Generated Text Detection Tool. - Kangxi Wu; Liang Pang 001; Huawei Shen; Xueqi Cheng; Tat-Seng Chua (EMNLP (Findings), 2023)

Multi-video Moment Ranking with Multimodal Clue. - Dan Yang Hou; Liang Pang 001; Yanyan Lan; Huawei Shen; Xueqi Cheng (CoRR, 2023)

Search-in-the-Chain: Towards the Accurate, Credible and Traceable Content Generation for Complex Knowledge-intensive Tasks. - Shicheng Xu; Liang Pang 001; Huawei Shen; Xueqi Cheng; Tat-Seng Chua (CoRR, 2023)

Visual Transformation Telling. - Xin Hong; Yanyan Lan; Liang Pang 001; Jiafeng Guo; Xueqi Cheng (CoRR, 2023)

LLMDet: A Large Language Models Detection Tool. - Kangxi Wu; Liang Pang 001; Huawei Shen; Xueqi Cheng; Tat-Seng Chua (CoRR, 2023)

LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts. - Sunhao Dai; Yuqi Zhou 001; Liang Pang 001; Weihao Liu 001; Xiaolin Hu; Yong Liu 018; Xiao Zhang 034; Jun Xu 001 (CoRR, 2023)

Do LLMs Implicitly Exhibit User Discrimination in Recommendation? An Empirical Study. - Chen Xu 010; Wenjie Wang 007; Yuxin Li; Liang Pang 001; Jun Xu 001; Tat-Seng Chua (CoRR, 2023)

De-fine: Decomposing and Refining Visual Programs with Auto-Feedback. - Minghe Gao; Juncheng Li 006; Hao Fei 001; Liang Pang 001; Wei Ji 008; Guoming Wang; Wenqiao Zhang; Siliang Tang; Yueting Zhuang (CoRR, 2023)

AI-Generated Images Introduce Invisible Relevance Bias to Text-Image Retrieval. - Shicheng Xu; Danyang Hou; Liang Pang 001; Jingcheng Deng; Jun Xu 001; Huawei Shen; Xueqi Cheng (CoRR, 2023)

Structured, Complex and Time-complete Temporal Event Forecasting. - Yunshan Ma; Chenchen Ye 001; Zijian Wu 003; Xiang Wang 010; Yixin Cao 002; Liang Pang 001; Tat-Seng Chua (CoRR, 2023)

Visual Reasoning: From State to Transformation. - Xin Hong; Yanyan Lan; Liang Pang 001; Jiafeng Guo; Xueqi Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. - Sunhao Dai; Weihao Liu 001; Yuqi Zhou 001; Liang Pang 001; Rongju Ruan; Gang Wang 056; Zhenhua Dong; Jun Xu 001; Ji-Rong Wen (ACL (Findings), 2024)

Plot Retrieval as an Assessment of Abstract Semantic Association. - Shicheng Xu; Liang Pang 001; Jiangnan Li; Mo Yu; Fandong Meng; Huawei Shen; Xueqi Cheng; Jie Zhou 016 (ACL (Student Research Workshop), 2024)

Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. - Shicheng Xu; Liang Pang 001; Mo Yu; Fandong Meng; Huawei Shen; Xueqi Cheng; Jie Zhou 016 (ACL (1), 2024)

Beyond Memorization: The Challenge of Random Memory Access in Language Models. - Tongyao Zhu; Qian Liu 012; Liang Pang 001; Zhengbao Jiang; Min-Yen Kan; Min Lin (ACL (1), 2024)

Qsnail: A Questionnaire Dataset for Sequential Question Generation. - Yan Lei; Liang Pang 001; Yuanzhuo Wang; Huawei Shen; Xueqi Cheng (LREC/COLING, 2024)

HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data. - Qifan Yu; Juncheng Li 006; Longhui Wei; Liang Pang 001; Wentao Ye; Bosheng Qin; Siliang Tang; Qi Tian 001; Yueting Zhuang (CVPR, 2024)

A Study of Implicit Ranking Unfairness in Large Language Models. - Chen Xu 010; Wenjie Wang 007; Yuxin Li; Liang Pang 001; Jun Xu 001; Tat-Seng Chua (EMNLP (Findings), 2024)

Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration. - Kangxi Wu; Liang Pang 001; Huawei Shen; Xueqi Cheng (EMNLP, 2024)

Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era. - Sunhao Dai; Chen Xu 010; Shicheng Xu; Liang Pang 001; Zhenhua Dong; Jun Xu 001 (KDD, 2024)

Neural Retrievers are Biased Towards LLM-Generated Content. - Sunhao Dai; Yuqi Zhou 001; Liang Pang 001; Weihao Liu 001; Xiaolin Hu; Yong Liu 018; Xiao Zhang 034; Gang Wang 056; Jun Xu 001 (KDD, 2024)

Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement. - Danyang Hou; Liang Pang 001; Huawei Shen; Xueqi Cheng (ICMR, 2024)

De-fine: Decomposing and Refining Visual Programs with Auto-Feedback. - Minghe Gao; Juncheng Li 006; Hao Fei 001; Liang Pang 001; Wei Ji 008; Guoming Wang; Zheqi Lv; Wenqiao Zhang; Siliang Tang; Yueting Zhuang (ACM Multimedia, 2024)

Fact : Teaching MLLMs with Faithful, Concise and Transferable Rationales. - Minghe Gao; Shuang Chen; Liang Pang 001; Yuan Yao 013; Jisheng Dang; Wenqiao Zhang; Juncheng Li 006; Siliang Tang; Yueting Zhuang; Tat-Seng Chua (ACM Multimedia, 2024)

Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue. - Junkai Zhou; Liang Pang 001; Huawei Shen; Xueqi Cheng (NAACL-HLT (Findings), 2024)

Information-Controllable Graph Contrastive Learning for Recommendation. - Zirui Guo; Yanhua Yu; Yuling Wang; Kangkang Lu 002; Zixuan Yang; Liang Pang 001; Tat-Seng Chua (RecSys, 2024)

A Taxation Perspective for Fair Re-ranking. - Chen Xu 010; Xiaopeng Ye; Wenjie Wang 007; Liang Pang 001; Jun Xu 001; Tat-Seng Chua (SIGIR, 2024)

Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images. - Shicheng Xu; Danyang Hou; Liang Pang 001; Jingcheng Deng; Jun Xu 001; Huawei Shen; Xueqi Cheng (SIGIR, 2024)

Can Small Language Models be Good Reasoners for Sequential Recommendation? - Yuling Wang; Changxin Tian; Binbin Hu; Yanhua Yu; Ziqi Liu; Zhiqiang Zhang 012; Jun Zhou 011; Liang Pang 001; Xiao Wang 017 (WWW, 2024)

Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks. - Shicheng Xu; Liang Pang 001; Huawei Shen; Xueqi Cheng; Tat-Seng Chua (WWW, 2024)

List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. - Shicheng Xu; Liang Pang 001; Jun Xu 001; Huawei Shen; Xueqi Cheng (WWW, 2024)

Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models. - Hanxing Ding; Liang Pang 001; Zihao Wei; Huawei Shen; Xueqi Cheng (CoRR, 2024)

Stable Knowledge Editing in Large Language Models. - Zihao Wei; Liang Pang 001; Hanxing Ding; Jingcheng Deng; Huawei Shen; Xueqi Cheng (CoRR, 2024)

Event-aware Video Corpus Moment Retrieval. - Danyang Hou; Liang Pang 001; Huawei Shen; Xueqi Cheng (CoRR, 2024)

GraphEdit: Large Language Models for Graph Structure Learning. - Zirui Guo; Lianghao Xia; Yanhua Yu; Yuling Wang; Zixuan Yang; Wei Wei 027; Liang Pang 001; Tat-Seng Chua; Chao Huang 001 (CoRR, 2024)

Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent. - Junkai Zhou; Liang Pang 001; Ya Jing; Jia Gu; Huawei Shen; Xueqi Cheng (CoRR, 2024)

Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models. - Sunhao Dai; Chen Xu 010; Shicheng Xu; Liang Pang 001; Zhenhua Dong; Jun Xu 001 (CoRR, 2024)

A Survey of Generative Search and Recommendation in the Era of Large Language Models. - Yongqi Li 001; Xinyu Lin 001; Wenjie Wang 007; Fuli Feng; Liang Pang 001; Wenjie Li 002; Liqiang Nie; Xiangnan He 001; Tat-Seng Chua (CoRR, 2024)

UnKE: Unstructured Knowledge Editing in Large Language Models. - Jingcheng Deng; Zihao Wei; Liang Pang 001; Hanxing Ding; Huawei Shen; Xueqi Cheng (CoRR, 2024)

Source Echo Chamber: Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. - Yuqi Zhou 001; Sunhao Dai; Liang Pang 001; Gang Wang 056; Zhenhua Dong; Jun Xu 001; Ji-Rong Wen (CoRR, 2024)

Unveil the Duality of Retrieval-Augmented Generation: Theoretical Analysis and Practical Solution. - Shicheng Xu; Liang Pang 001; Huawei Shen; Xueqi Cheng (CoRR, 2024)

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models. - Qianchi Zhang; Hainan Zhang; Liang Pang 001; Hongwei Zheng 007; Zhiming Zheng 001 (CoRR, 2024)

NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework. - Shicheng Xu; Liang Pang 001; Huawei Shen; Xueqi Cheng (ACM Trans. Inf. Syst., 2024)

Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding. - Yunchang Zhu; Liang Pang 001; Kangxi Wu; Yanyan Lan; Huawei Shen; Xueqi Cheng (ACM Trans. Inf. Syst., 2024)

LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph. - Tu Ao; Yanhua Yu; Yuling Wang; Yang Deng 002; Zirui Guo; Liang Pang 001; Pinghui Wang; Tat-Seng Chua; Xiao Zhang 034; Zhen Cai (AAAI, 2025)

MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models. - Yujing Wang; Hainan Zhang; Liang Pang 001; Binghui Guo; Hongwei Zheng 007; Zhiming Zheng 001 (AAAI, 2025)

ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models. - Hanxing Ding; Shuchang Tao; Liang Pang 001; Zihao Wei; Jinyang Gao; Bolin Ding; Huawei Shen; Xueqi Cheng (ACL (1), 2025)

Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation. - Jia Gu; Liang Pang 001; Huawei Shen; Xueqi Cheng (COLING, 2025)

MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models. - Zihao Wei; Jingcheng Deng; Liang Pang 001; Hanxing Ding; Huawei Shen; Xueqi Cheng (COLING, 2025)

Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation. - Chen Xu 010; Yuxin Li; Wenjie Wang 007; Liang Pang 001; Jun Xu 001; Tat-Seng Chua (ICLR, 2025)

Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models. - Jingcheng Deng; Zihao Wei; Liang Pang 001; Hanxing Ding; Huawei Shen; Xueqi Cheng (ICLR, 2025)

Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents. - Haoyu Wang; Sunhao Dai; Haiyuan Zhao; Liang Pang 001; Xiao Zhang 034; Gang Wang 056; Zhenhua Dong; Jun Xu 001; Ji-Rong Wen (ICLR, 2025)

A Theory for Token-Level Harmonization in Retrieval-Augmented Generation. - Shicheng Xu; Liang Pang 001; Huawei Shen; Xueqi Cheng (ICLR, 2025)

Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models. - Shicheng Xu; Liang Pang 001; Yunchang Zhu; Huawei Shen; Xueqi Cheng (ICLR, 2025)

Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. - Yuqi Zhou 001; Sunhao Dai; Liang Pang 001; Gang Wang 056; Zhenhua Dong; Jun Xu 001; Ji-Rong Wen (SIGIR, 2025)

Unveiling Knowledge Boundary of Large Language Models for Trustworthy Information Access. - Yang Deng 002; Moxin Li; Liang Pang 001; Wenxuan Zhang 001; Wai Lam (SIGIR, 2025)

Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics. - Chen Xu 010; Jujia Zhao; Wenjie Wang 007; Liang Pang 001; Jun Xu 001; Tat-Seng Chua; Maarten de Rijke (SIGIR, 2025)

Mitigating Source Bias with LLM Alignment. - Sunhao Dai; Yuqi Zhou 001; Liang Pang 001; Zhuoyang Li; Zhaocheng Du; Gang Wang 056; Jun Xu 001 (SIGIR, 2025)

NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. - Sunhao Dai; Wenjie Wang 007; Liang Pang 001; Jun Xu 001; See-Kiong Ng; Ji-Rong Wen; Tat-Seng Chua (SIGIR, 2025)

Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era. - Sunhao Dai; Chen Xu 010; Shicheng Xu; Liang Pang 001; Zhenhua Dong; Jun Xu 001 (WSDM, 2025)

Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos. - Haowen Gao; Liang Pang 001; Shicheng Xu; Leigang Qu; Tat-Seng Chua; Huawei Shen; Xueqi Cheng (CoRR, 2025)

Revisiting Robust RAG: Do We Still Need Complex Robust Training in the Era of Powerful LLMs? - Hanxing Ding; Shuchang Tao; Liang Pang 001; Zihao Wei; Liwei Chen; Kun Xu; Huawei Shen; Xueqi Cheng (CoRR, 2025)

Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment. - Jingcheng Deng; Zhongtao Jiang; Liang Pang 001; Liwei Chen; Kun Xu; Zihao Wei; Huawei Shen; Xueqi Cheng (CoRR, 2025)

FineFilter: A Fine-grained Noise Filtering Mechanism for Retrieval-Augmented Large Language Models. - Qianchi Zhang; Hainan Zhang; Liang Pang 001; Hongwei Zheng 007; Yongxin Tong; Zhiming Zheng 001 (CoRR, 2025)

Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language Models. - Yujing Wang; Hainan Zhang; Liang Pang 001; Yongxin Tong; Binghui Guo; Hongwei Zheng 007; Zhiming Zheng 001 (CoRR, 2025)

Distilling the Implicit Multi-Branch Structure in LLMs' Reasoning via Reinforcement Learning. - Shicheng Xu; Liang Pang 001; Yunchang Zhu; Jia Gu; Zihao Wei; Jingcheng Deng; Feiyang Pan; Huawei Shen; Xueqi Cheng (CoRR, 2025)

GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace. - Zenghao Duan; Zhiyi Yin; Zhichao Shi 001; Liang Pang 001; Shaoling Jing; Jiayi Wu; Yu Yan; Huawei Shen; Xueqi Cheng (CoRR, 2025)

Reverse Physician-AI Relationship: Full-process Clinical Diagnosis Driven by a Large Language Model. - Shicheng Xu; Xin Huang; Zihao Wei; Liang Pang 001; Huawei Shen; Xueqi Cheng (CoRR, 2025)

Stop Spinning Wheels: Mitigating LLM Overthinking via Mining Patterns for Early Reasoning Exit. - Zihao Wei; Liang Pang 001; Jiahao Liu; Jingcheng Deng; Shicheng Xu; Zenghao Duan; Jingang Wang; Fei Sun 001; Xunliang Cai; Huawei Shen; Xueqi Cheng (CoRR, 2025)

Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation. - Jinwen Chen; Hainan Zhang; Liang Pang 001; Yongxin Tong; Haibo Zhou; Yuan Zhan; Wei Lin; Zhiming Zheng 001 (CoRR, 2025)

Can Synthetic Query Rewrites Capture User Intent Better than Humans in Retrieval-Augmented Generation? - Jiaying Zheng; Hainan Zhang; Liang Pang 001; Yongxin Tong; Zhiming Zheng 001 (CoRR, 2025)