Dawei Yin

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 269

Top Venues

Publications

Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
AgentIR: 1st Workshop on Agent-based Information Retrieval. SIGIR (2024)
Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models. CoRR (2024)
Guanying Jiang, Lingyong Yan, Haibo Shi, Dawei Yin
The Real, the Better: Aligning Large Language Models with Online Human Behaviors. CoRR (2024)
Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Mengnan Du
Explainability for Large Language Models: A Survey. ACM Trans. Intell. Syst. Technol. 15 (2) (2024)
Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin
Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks. CoRR (2024)
Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method. NAACL-HLT (2024)
Wenqi Fan, Yujuan Ding, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models. KDD (2024)
Yiqun Chen, Jiaxin Mao, Yi Zhang, Dehong Ma, Long Xia, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification. CoRR (2024)
Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
P: a generative pre-trained learning to rank model with over-parameterization for web-scale search. Mach. Learn. 113 (8) (2024)
Dongsheng Zhu, Xunzhu Tang, Weidong Han, Jinghui Lu, Yukun Zhao, Guoliang Xing, Junfeng Wang, Dawei Yin
VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization. CoRR (2024)
Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin
Whole Page Unbiased Learning to Rank. WWW (2024)
Pengyue Jia, Yiding Liu, Xiaopeng Li, Xiangyu Zhao, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models. CoRR (2024)
Gang Wang, Xiang Li, Ziyi Guo, Dawei Yin, Shuai Ma
SMEC: Scene Mining for E-Commerce. J. Comput. Sci. Technol. 39 (1) (2024)
Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li
R: Learning to Online Learning to Rank for Web Search. ICDE (2024)
Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang
HiGPT: Heterogeneous Graph Language Model. KDD (2024)
Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Dejing Dou, Dawei Yin
A Simple yet Effective Framework for Active Learning to Rank. Mach. Intell. Res. 21 (1) (2024)
Dongsheng Zhu, Daniel Tang, Weidong Han, Jinghui Lu, Yukun Zhao, Guoliang Xing, Junfeng Wang, Dawei Yin
VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization. NAACL-HLT (2024)
Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang, Jiliang Tang
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). CoRR (2024)
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison
Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation. SIGIR (2024)
Yiqun Chen, Qi Liu, Yi Zhang, Weiwei Sun, Daiting Shi, Jiaxin Mao, Dawei Yin
TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy. CoRR (2024)
Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Shuaiqiang Wang, Chong Meng, Zhicong Cheng, Zhaochun Ren, Dawei Yin
Improving the Robustness of Large Language Models via Consistency Alignment. LREC/COLING (2024)
Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Shuaiqiang Wang, Chong Meng, Zhicong Cheng, Zhaochun Ren, Dawei Yin
Improving the Robustness of Large Language Models via Consistency Alignment. CoRR (2024)
Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang
UrbanGPT: Spatio-Temporal Large Language Models. CoRR (2024)
Gang Wang, Xiang Li, Ziyi Guo, Dawei Yin, Shuai Ma
SMEC: Scene Mining for E-Commerce. J. Comput. Sci. Technol. 39 (2) (2024)
Yutong Wu, Di Huang, Wenxuan Shi, Wei Wang, Lingzhe Gao, Shihao Liu, Ziyuan Nan, Kaizhao Yuan, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Yewen Pu, Dawei Yin, Xing Hu, Yunji Chen
InverseCoder: Unleashing the Power of Instruction-Tuned Code LLMs with Inverse-Instruct. CoRR (2024)
Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
Exploring Memorization in Fine-tuned Language Models. ACL (1) (2024)
Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang
GraphGPT: Graph Instruction Tuning for Large Language Models. SIGIR (2024)
Haoyi Xiong, Jiang Bian, Yuchen Li, Xuhong Li, Mengnan Du, Shuaiqiang Wang, Dawei Yin, Sumi Helal
When Search Engine Services meet Large Language Models: Visions and Challenges. CoRR (2024)
Chao Huang, Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla
Large Language Models for Graphs: Progresses and Directions. WWW (Companion Volume) (2024)
Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang
A Survey of Large Language Models for Graphs. KDD (2024)
Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
Tool Learning with Large Language Models: A Survey. CoRR (2024)
Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li
Graph Machine Learning in the Era of Large Language Models (LLMs). CoRR (2024)
Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang
UrbanGPT: Spatio-Temporal Large Language Models. KDD (2024)
Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma
Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback. SIGIR (2024)
Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang
A Survey of Large Language Models for Graphs. CoRR (2024)
Dongxu Chang, Guanghui Wang, Guiying Yan, Dawei Yin
An Optimization Model for Offline Scheduling Policy of Low-Density Parity-Check Codes. IEEE Commun. Lett. 28 (8) (2024)
Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Du Su, Dawei Yin, Huawei Shen
The Fall of ROME: Understanding the Collapse of LLMs in Model Editing. CoRR (2024)
Fanyue Wei, Wei Zeng, Zhenyang Li, Dawei Yin, Lixin Duan, Wen Li
Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning. CoRR (2024)
Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. ACL (Findings) (2024)
Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang
HiGPT: Heterogeneous Graph Language Model. CoRR (2024)
Jingtong Gao, Xiangyu Zhao, Muyang Li, Minghao Zhao, Runze Wu, Ruocheng Guo, Yiding Liu, Dawei Yin
SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations. ACM Trans. Inf. Syst. 42 (3) (2024)
Xixun Lin, Chuan Zhou, Jia Wu, Lixin Zou, Shirui Pan, Yanan Cao, Bin Wang, Shuaiqiang Wang, Dawei Yin
Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Xin Yang, Heng Chang, Zhijian La, Jinze Yang, Xingrun Li, Yu Lu, Shuaiqiang Wang, Dawei Yin, Erxue Min
Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System. CoRR (2024)
Zhengliang Shi, Shen Gao, Xiuyi Chen, Lingyong Yan, Haibo Shi, Dawei Yin, Zhumin Chen, Pengjie Ren, Suzan Verberne, Zhaochun Ren
Learning to Use Tools via Cooperative and Interactive Agents. CoRR (2024)
Yujuan Ding, Wenqi Fan, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li
A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models. CoRR (2024)
Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
LLMRec: Large Language Models with Graph Augmentation for Recommendation. WSDM (2024)
Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator. CoRR (2024)
Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin
MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion. NAACL-HLT (2024)
Xuanfan Ni, Hengyi Cai, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Piji Li
Bench: A Benchmark for Extremely Long Context Understanding with Long-range Dependencies. CoRR (2024)
Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). ACL (Findings) (2024)
Qingqing Peng, Dawei Yin, Dongxu Chang, Yuan Li, Huazi Zhang, Guiying Yan, Guanghui Wang
On the Performance of Low-complexity Decoders of LDPC and Polar Codes. CoRR (2024)
Dongxu Chang, Qingqing Peng, Guanghui Wang, Dawei Yin
Density Evolution Analysis of Generalized Low-density Parity-check Codes under a Posteriori Probability Decoder. CoRR (2024)
Zhengliang Shi, Shen Gao, Xiuyi Chen, Yue Feng, Lingyong Yan, Haibo Shi, Dawei Yin, Zhumin Chen, Suzan Verberne, Zhaochun Ren
Chain of Tools: Large Language Model is an Automatic Multi-tool Learner. CoRR (2024)
Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
Representation Learning with Large Language Models for Recommendation. WWW (2024)
Wenjie Zhou, Zhenxin Ding, Xiaodong Zhang, Haibo Shi, Junfeng Wang, Dawei Yin
GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation. CoRR (2024)
Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. CoRR (2024)
Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. CoRR (2024)
Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin
Text-Video Retrieval via Multi-Modal Hypergraph Networks. WSDM (2024)
Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method. CoRR (2023)
Xiangyu Zhao, Maolin Wang, Xinjian Zhao, Jiansheng Li, Shucheng Zhou, Dawei Yin, Qing Li, Jiliang Tang, Ruocheng Guo
Embedding in Recommender Systems: A Survey. CoRR (2023)
Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs. CoRR (2023)
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison
Unconfounded Propensity Estimation for Unbiased Ranking. CoRR (2023)
Chenghua Gong, Xiang Li, Jianxiang Yu, Cheng Yao, Jiaqi Tan, Chengcheng Yu, Dawei Yin
Prompt Tuning for Multi-View Graph Contrastive Learning. CoRR (2023)
Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin
User Retention-oriented Recommendation with Decision Transformer. WWW (2023)
Xueqing Ma, Xiaochi Wei, Yixing Gao, Runyang Feng, Dawei Yin, Yi Chang
Knowing Before Seeing: Incorporating Post-retrieval Information into Pre-retrieval Query Intention Classification. KSEM (2) (2023)
Bo Wang, Heyan Huang, Xiaochi Wei, Ge Shi, Xiao Liu, Chong Feng, Tong Zhou, Shuaiqiang Wang, Dawei Yin
Boosting Event Extraction with Denoised Structure-to-Text Augmentation. CoRR (2023)
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison
Model-based Unbiased Learning to Rank. WSDM (2023)
Haoran Xiong, Zicheng Ye, Huazi Zhang, Jun Wang, Ke Liu, Dawei Yin, Guanghui Wang, Guiying Yan, Zhiming Ma
Theoretical Bounds for the Size of Elementary Trapping Sets by Graphic Methods. CoRR (2023)
Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma
I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. CIKM (2023)
Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search. DSAA (2023)
Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents. EMNLP (2023)
Canjia Li, Xiaoyang Wang, Dongdong Li, Yiding Liu, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Simiu Gu, Dawei Yin
Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction. CoRR (2023)
Weiwei Sun, Zheng Chen, Xinyu Ma, Lingyong Yan, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren
Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers. CoRR (2023)
Lixin Zou, Weixue Lu, Yiding Liu, Hengyi Cai, Xiaokai Chu, Dehong Ma, Daiting Shi, Yu Sun, Zhicong Cheng, Simiu Gu, Shuaiqiang Wang, Dawei Yin
Pre-trained Language Model-based Retrieval and Ranking for Web Search. ACM Trans. Web 17 (1) (2023)
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR (2023)
Dongxu Chang, Guanghui Wang, Guiying Yan, Dawei Yin
An Optimization Model for Offline Scheduling Policy of Low-density Parity-check Codes. CoRR (2023)
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4 (2023)
Bo Wang, Heyan Huang, Xiaochi Wei, Ge Shi, Xiao Liu, Chong Feng, Tong Zhou, Shuaiqiang Wang, Dawei Yin
Boosting Event Extraction with Denoised Structure-to-Text Augmentation. ACL (Findings) (2023)
Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang
Disentangled Contrastive Collaborative Filtering. CoRR (2023)
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies. CoRR (2023)
Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang
Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs. SIGKDD Explor. 25 (2) (2023)
Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang
GraphGPT: Graph Instruction Tuning for Large Language Models. CoRR (2023)
Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin
Enhancing Graph Neural Networks with Structure-Based Prompt. CoRR (2023)
Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma
I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. CoRR (2023)
Yuchen Li, Haoyi Xiong, Linghe Kong, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, Dawei Yin
phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data. KDD (2023)
Anfeng Cheng, Yiding Liu, Weibin Li, Qian Dong, Shuaiqiang Wang, Zhengjie Huang, Shikun Feng, Zhicong Cheng, Dawei Yin
Layout-aware Webpage Quality Assessment. CoRR (2023)
Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval. CIKM (2023)
Yukun Zhao, Lingyong Yan, Weiwei Sun, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin
DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment. EMNLP (Findings) (2023)
Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
Representation Learning with Large Language Models for Recommendation. CoRR (2023)
Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. CoRR (2023)
Juanhui Li, Wei Zeng, Suqi Cheng, Yao Ma, Jiliang Tang, Shuaiqiang Wang, Dawei Yin
Graph Enhanced BERT for Query Understanding. SIGIR (2023)
Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten de Rijke, Zhaochun Ren
Learning to Tokenize for Generative Retrieval. NeurIPS (2023)
Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang
Disentangled Contrastive Collaborative Filtering. SIGIR (2023)
Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma
Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback. CoRR (2023)
Yuchen Li, Haoyi Xiong, Linghe Kong, Shuaiqiang Wang, Zeyi Sun, Hongyang Chen, Guihai Chen, Dawei Yin
LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search. ECML/PKDD (6) (2023)
Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? ACL (1) (2023)
Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin
User Retention-oriented Recommendation with Decision Transformer. CoRR (2023)
Rong Huang, Danfeng Zhang, Weixue Lu, Han Li, Meng Wang, Daiting Shi, Jun Fan, Zhicong Cheng, Simiu Gu, Dawei Yin
Learning Discrete Document Representations in Web Search. KDD (2023)
Hao Sun, Hengyi Cai, Bo Wang, Yingyan Hou, Xiaochi Wei, Shuaiqiang Wang, Yan Zhang, Dawei Yin
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection. CoRR (2023)
Xiaopeng Li, Lixin Su, Pengyue Jia, Xiangyu Zhao, Suqi Cheng, Junfeng Wang, Dawei Yin
Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM. CoRR (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dawei Yin