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papers

Publications (217)

cs.IR2021

SceneRec: Scene-Based Graph Neural Networks for Recommender Systems

Gang Wang, Ziyi Guo, Xiang Li +2

cs.LG2020

Robust Reinforcement Learning with Wasserstein Constraint

Linfang Hou, Liang Pang, Xin Hong +3

cs.IR2025

MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification

Yiqun Chen, Jiaxin Mao, Yi Zhang +7

cs.IR2023

Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community

Qingyao Ai, Ting Bai, Zhao Cao +30

cs.CL2018

A Survey on Dialogue Systems: Recent Advances and New Frontiers

Hongshen Chen, Xiaorui Liu, Dawei Yin +1

cs.IR2025

Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models

Zhengliang Shi, Lingyong Yan, Weiwei Sun +7

cs.IR2026

ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval

Weiwei Sun, Keyi Kong, Xinyu Ma +5

cs.IR2025

Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation

Hengran Zhang, Minghao Tang, Keping Bi +5

cs.IR2024

Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback

Qian Dong, Yiding Liu, Qingyao Ai +6

cs.CR2024

A Robust Semantics-based Watermark for Large Language Model against Paraphrasing

Jie Ren, Han Xu, Yiding Liu +4

cs.CL2021

First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction

Lianzhe Huang, Peiyi Wang, Sujian Li +5

cs.LG2024

OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction

Zhonghang Li, Long Xia, Lei Shi +3

cs.CL2022

ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval

Yuxiang Lu, Yiding Liu, Jiaxiang Liu +8

cs.AI2026

When Tools Fail: Benchmarking Dynamic Replanning and Anomaly Recovery in LLM Agents

Dongsheng Zhu, Xuchen Ma, Yucheng Shen +5

cs.IR2026

DiffuGR: Generative Document Retrieval with Diffusion Language Models

Xinpeng Zhao, Zhaochun Ren, Yukun Zhao +9

cs.AI2026

AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization

Qiyang Li, Rui Kong, Yuchen Li +5

cs.IR2023

Unconfounded Propensity Estimation for Unbiased Ranking

Dan Luo, Lixin Zou, Qingyao Ai +4

cs.CL2026

Towards AI Search Paradigm

Yuchen Li, Hengyi Cai, Rui Kong +20

cs.AI2024

Exploring Memorization in Fine-tuned Language Models

Shenglai Zeng, Yaxin Li, Jie Ren +7

cs.IR2018

Deep Reinforcement Learning for Page-wise Recommendations

Xiangyu Zhao, Long Xia, Liang Zhang +3

cs.CL2024

GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation

Wenjie Zhou, Zhenxin Ding, Xiaodong Zhang +3

cs.IR2021

User-Inspired Posterior Network for Recommendation Reason Generation

Haolan Zhan, Hainan Zhang, Hongshen Chen +4

cs.IR2023

Learning to Tokenize for Generative Retrieval

Weiwei Sun, Lingyong Yan, Zheng Chen +7

cs.IR2022

Hypergraph Contrastive Collaborative Filtering

Lianghao Xia, Chao Huang, Yong Xu +3

cs.CL2020

Modeling Topical Relevance for Multi-Turn Dialogue Generation

Hainan Zhang, Yanyan Lan, Liang Pang +3

cs.CL2026

QianfanHuijin Technical Report: A Novel Multi-Stage Training Paradigm for Finance Industrial LLMs

Shupeng Li, Weipeng Lu, Linyun Liu +16

cs.LG2026

Graph Machine Learning in the Era of Large Language Models (LLMs)

Shijie Wang, Jiani Huang, Zhikai Chen +8

cs.CL2025

The Mirage of Model Editing: Revisiting Evaluation in the Wild

Wanli Yang, Fei Sun, Jiajun Tan +5

cs.IR2023

Graph Enhanced BERT for Query Understanding

Juanhui Li, Yao Ma, Wei Zeng +4

cs.IR2025

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation

Shijie Wang, Wenqi Fan, Yue Feng +4

cs.IR2024

Whole Page Unbiased Learning to Rank

Haitao Mao, Lixin Zou, Yujia Zheng +5

cs.IR2023

A Simple yet Effective Framework for Active Learning to Rank

Qingzhong Wang, Haifang Li, Haoyi Xiong +7

cs.IT2025

On the Performance of Low-complexity Decoders of LDPC Codes

Qingqing Peng, Dawei Yin, Dongxu Chang +4

cs.CL2024

UrbanGPT: Spatio-Temporal Large Language Models

Zhonghang Li, Lianghao Xia, Jiabin Tang +5

cs.CL2023

Feature-Level Debiased Natural Language Understanding

Yougang Lyu, Piji Li, Yechang Yang +5

cs.IR2025

From Prompting to Alignment: A Generative Framework for Query Recommendation

Erxue Min, Hsiu-Yuan Huang, Xihong Yang +7

cs.IR2024

Representation Learning with Large Language Models for Recommendation

Xubin Ren, Wei Wei, Lianghao Xia +5

cs.IR2024

When Search Engine Services meet Large Language Models: Visions and Challenges

Haoyi Xiong, Jiang Bian, Yuchen Li +5

cs.CL2024

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Weiwei Sun, Lingyong Yan, Xinyu Ma +5

cs.AI2024

VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization

Dongsheng Zhu, Xunzhu Tang, Weidong Han +5

cs.IR2026

LLM-based Listwise Reranking under the Effect of Positional Bias

Jingfen Qiao, Jin Huang, Xinyu Ma +4

cs.CL2025

TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning

Hang Ni, Fan Liu, Xinyu Ma +5

cs.CL2026

Measuring Maximum Activations in Open Large Language Models

Luxuan Chen, Han Tian, Xinran Chen +9

cs.LG2026

Rollout Pass-Rate Control: Steering Binary-Reward RL Toward Its Most Informative Regime

Tianshu Zhu, Wenyu Zhang, Xiaoying Zuo +8

cs.IR2025

Graph Foundation Models for Recommendation: A Comprehensive Survey

Bin Wu, Yihang Wang, Yuanhao Zeng +7

cs.LG2026

CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMs

Yongcheng Zeng, Zexu Sun, Bokai Ji +7

cs.CV2025

COOPER: A Unified Model for Cooperative Perception and Reasoning in Spatial Intelligence

Zefeng Zhang, Xiangzhao Hao, Hengzhu Tang +8

cs.CL2025

From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions

Changle Qu, Sunhao Dai, Xiaochi Wei +5

cs.IR2020

Whole-Chain Recommendations

Xiangyu Zhao, Long Xia, Linxin Zou +3

cs.IR2026

Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs

Jiani Huang, Shijie Wang, Liang-bo Ning +4

cs.IR2025

Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance

Lulu Yu, Keping Bi, Jiafeng Guo +3

cs.CL2024

ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator

Junda Zhu, Lingyong Yan, Haibo Shi +2

cs.CL2024

PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization

Jiayi Wu, Hengyi Cai, Lingyong Yan +5

stat.ML2014

N$^3$LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data

Makoto Yamada, Avishek Saha, Hua Ouyang +2

cs.CL2025

MAO-ARAG: Multi-Agent Orchestration for Adaptive Retrieval-Augmented Generation

Yiqun Chen, Erhan Zhang, Lingyong Yan +4

cs.CL2024

Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method

Yukun Zhao, Lingyong Yan, Weiwei Sun +6

cs.CV2024

G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models

Pengyue Jia, Yiding Liu, Xiaopeng Li +7

cs.AI2024

The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse

Wanli Yang, Fei Sun, Xinyu Ma +3

cs.IR2024

Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System

Xin Yang, Heng Chang, Zhijian Lai +6

cs.CL2020

Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight

Hengyi Cai, Hongshen Chen, Yonghao Song +3

cs.IR2022

PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation

Lianshang Cai, Linhao Zhang, Dehong Ma +6

cs.IR2021

Pre-trained Language Model for Web-scale Retrieval in Baidu Search

Yiding Liu, Guan Huang, Jiaxiang Liu +7

cs.CL2024

Improving the Robustness of Large Language Models via Consistency Alignment

Yukun Zhao, Lingyong Yan, Weiwei Sun +6

cs.LG2024

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

Zhikai Chen, Haitao Mao, Hang Li +8

cs.AI2026

DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent

Tongzhou Wu, Yuhao Wang, Xinyu Ma +4

cs.CL2025

GRAF: Multi-turn Jailbreaking via Global Refinement and Active Fabrication

Hua Tang, Lingyong Yan, Yukun Zhao +3

cs.IR2023

CPS-MEBR: Click Feedback-Aware Web Page Summarization for Multi-Embedding-Based Retrieval

Wenbiao Li, Pan Tang, Zhengfan Wu +7

cs.CL2024

Cross-model Control: Improving Multiple Large Language Models in One-time Training

Jiayi Wu, Hao Sun, Hengyi Cai +5

cs.CL2024

XL$^2$Bench: A Benchmark for Extremely Long Context Understanding with Long-range Dependencies

Xuanfan Ni, Hengyi Cai, Xiaochi Wei +3

cs.CL2024

GraphGPT: Graph Instruction Tuning for Large Language Models

Jiabin Tang, Yuhao Yang, Wei Wei +5

cs.IR2025

VeriCite: Towards Reliable Citations in Retrieval-Augmented Generation via Rigorous Verification

Haosheng Qian, Yixing Fan, Jiafeng Guo +4

cs.IT2024

An Optimization Model for Offline Scheduling Policy of Low-density Parity-check Codes

Dongxu Chang, Zhiming Ma, Guanghui Wang +2

cs.IR2025

An Efficient Framework for Whole-Page Reranking via Single-Modal Supervision

Zishuai Zhang, Sihao Yu, Wenyi Xie +5

cs.IR2024

Hgformer: Hyperbolic Graph Transformer for Recommendation

Xin Yang, Xingrun Li, Heng Chang +8

cs.CL2025

A Question Answering Dataset for Temporal-Sensitive Retrieval-Augmented Generation

Ziyang Chen, Erxue Min, Xiang Zhao +7

cs.IR2025

Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation

Xiaodong Li, Hengzhu Tang, Jiawei Sheng +5

cs.CL2026

Large Language Model-Powered Query-Driven Event Timeline Summarization in Industrial Search

Mingyue Wang, Xingyu Xie, Hang Yang +5

cs.LG2025

Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation

Dongsheng Zhu, Weixian Shi, Zhengliang Shi +4

cs.CL2025

Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking

Junda Zhu, Lingyong Yan, Shuaiqiang Wang +2

cs.CL2023

Explainability for Large Language Models: A Survey

Haiyan Zhao, Hanjie Chen, Fan Yang +6

cs.CL2024

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models

Yougang Lyu, Lingyong Yan, Shuaiqiang Wang +6

cs.CL2026

Joint Flashback Adaptation for Forgetting-Resistant Instruction Tuning

Yukun Zhao, Lingyong Yan, Zhenyang Li +4

cs.IR2022

Sequential Recommendation with User Evolving Preference Decomposition

Weiqi Shao, Xu Chen, Long Xia +2

cs.CL2026

LLM-Specific Utility: A New Perspective for Retrieval-Augmented Generation

Hengran Zhang, Keping Bi, Jiafeng Guo +4

cs.IR2024

MAIR: A Massive Benchmark for Evaluating Instructed Retrieval

Weiwei Sun, Zhengliang Shi, Jiulong Wu +6

cs.CL2025

Leveraging Generative Models for Real-Time Query-Driven Text Summarization in Large-Scale Web Search

Zeyu Xiong, Yixuan Nan, Li Gao +4

cs.IR2023

Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction

Canjia Li, Xiaoyang Wang, Dongdong Li +6

cs.IR2018

Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning

Xiangyu Zhao, Liang Zhang, Zhuoye Ding +3

cs.IR2024

LLMRec: Large Language Models with Graph Augmentation for Recommendation

Wei Wei, Xubin Ren, Jiabin Tang +6

cs.IR2022

Approximated Doubly Robust Search Relevance Estimation

Lixin Zou, Changying Hao, Hengyi Cai +6

cs.CL2025

CoRanking: Collaborative Ranking with Small and Large Ranking Agents

Wenhan Liu, Xinyu Ma, Yutao Zhu +4

cs.IR2024

Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale (Extended Abstract)

Yuchen Li, Haoyi Xiong, Linghe Kong +4

cs.IR2019

Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems

Lixin Zou, Long Xia, Zhuoye Ding +3

cs.CL2018

Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation

Xisen Jin, Wenqiang Lei, Zhaochun Ren +4

cs.CV2025

Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization

Zefeng Zhang, Hengzhu Tang, Jiawei Sheng +6

cs.IR2021

Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks

Huance Xu, Chao Huang, Yong Xu +3

cs.DC2026

FlexSpec: Frozen Drafts Meet Evolving Targets in Edge-Cloud Collaborative LLM Speculative Decoding

Yuchen Li, Rui Kong, Zhonghao Lyu +11

cs.IT2023

On the Message Passing Efficiency of Polar and Low-Density Parity-Check Decoders

Dawei Yin, Yuan Li, Xianbin Wang +8

cs.AI2026

Beyond Monolithic Architectures: A Multi-Agent Search and Knowledge Optimization Framework for Agentic Search

Yiqun Chen, Lingyong Yan, Zixuan Yang +5

cs.LG2020

CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data

Xiang Li, Ben Kao, Caihua Shan +2