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2020 – today
- 2024
[j21]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): 1740-1744 (2024)- [j20]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): 169-183 (2024) - [j19]Gang Wang, Xiang Li, Ziyi Guo, Dawei Yin, Shuai Ma:
SMEC: Scene Mining for E-Commerce. J. Comput. Sci. Technol. 39(2): 192-210 (2024) - [j18]Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin:
GS2P: a generative pre-trained learning to rank model with over-parameterization for web-scale search. Mach. Learn. 113(8): 5331-5349 (2024) - [j17]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): 20:1-20:38 (2024) - [j16]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): 1815-1828 (2024) - [j15]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): 86:1-86:23 (2024) - [c164]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: 3917-3948 - [c163]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: 4505-4524 - [c162]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: 5419-5437 - [c161]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: 8931-8941 - [c160]Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li:
LT2R: Learning to Online Learning to Rank for Web Search. ICDE 2024: 4733-4746 - [c159]Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao:
Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification. ICML 2024 - [c158]Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
HiGPT: Heterogeneous Graph Language Model. KDD 2024: 2842-2853 - [c157]Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
UrbanGPT: Spatio-Temporal Large Language Models. KDD 2024: 5351-5362 - [c156]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: 6491-6501 - [c155]Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang:
A Survey of Large Language Models for Graphs. KDD 2024: 6616-6626 - [c154]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. NAACL-HLT (Findings) 2024: 613-625 - [c153]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: 2122-2135 - [c152]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: 2498-2518 - [c151]Yutao Mou, Kexiang Wang, Jianhe Lin, Dehong Ma, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin, Weiran Xu:
UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle. NAACL-HLT (Findings) 2024: 2661-2673 - [c150]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: 7051-7063 - [c149]Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin:
PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks. ECML/PKDD (5) 2024: 423-439 - [c148]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: 48-58 - [c147]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: 491-500 - [c146]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: 1535-1545 - [c145]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: 3025-3028 - [c144]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: 369-377 - [c143]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: 806-815 - [c142]Chao Huang, Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla:
Large Language Models for Graphs: Progresses and Directions. WWW (Companion Volume) 2024: 1284-1287 - [c141]Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin:
Whole Page Unbiased Learning to Rank. WWW 2024: 1431-1440 - [c140]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: 3464-3475 - [i118]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 abs/2401.03177 (2024) - [i117]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 abs/2402.07398 (2024) - [i116]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 abs/2402.09656 (2024) - [i115]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 abs/2402.11176 (2024) - [i114]Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
HiGPT: Heterogeneous Graph Language Model. CoRR abs/2402.16024 (2024) - [i113]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 abs/2402.16893 (2024) - [i112]Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
UrbanGPT: Spatio-Temporal Large Language Models. CoRR abs/2403.00813 (2024) - [i111]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 abs/2403.03031 (2024) - [i110]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 abs/2403.14221 (2024) - [i109]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 abs/2403.17421 (2024) - [i108]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 abs/2403.19266 (2024) - [i107]Dongxu Chang, Qingqing Peng, Guanghui Wang, Dawei Yin:
Density Evolution Analysis of Generalized Low-density Parity-check Codes under a Posteriori Probability Decoder. CoRR abs/2404.01136 (2024) - [i106]Xuanfan Ni, Hengyi Cai, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Piji Li:
XL2Bench: A Benchmark for Extremely Long Context Understanding with Long-range Dependencies. CoRR abs/2404.05446 (2024) - [i105]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 abs/2404.14928 (2024) - [i104]Guanying Jiang, Lingyong Yan, Haibo Shi, Dawei Yin:
The Real, the Better: Aligning Large Language Models with Online Human Behaviors. CoRR abs/2405.00578 (2024) - [i103]Wenjie Zhou, Zhenxin Ding, Xiaodong Zhang, Haibo Shi, Junfeng Wang, Dawei Yin:
GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation. CoRR abs/2405.03764 (2024) - [i102]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 abs/2405.06211 (2024) - [i101]Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang:
A Survey of Large Language Models for Graphs. CoRR abs/2405.08011 (2024) - [i100]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 abs/2405.14702 (2024) - [i99]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 abs/2405.16089 (2024) - [i98]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 abs/2405.16533 (2024) - [i97]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 abs/2405.17935 (2024) - [i96]Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha:
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator. CoRR abs/2405.18111 (2024) - [i95]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 abs/2406.11263 (2024) - [i94]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 abs/2406.11678 (2024) - [i93]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 abs/2406.17289 (2024) - [i92]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 abs/2407.00128 (2024) - [i91]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 abs/2407.05700 (2024) - [i90]Fanyue Wei, Wei Zeng, Zhenyang Li, Dawei Yin, Lixin Duan, Wen Li:
Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning. CoRR abs/2407.06642 (2024) - 2023
- [j14]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: 80-90 (2023) - [j13]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): 42-61 (2023) - [j12]Yuchen Li, Haoyi Xiong, Qingzhong Wang, Linghe Kong, Hao Liu, Haifang Li, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dejing Dou, Dawei Yin:
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search. IEEE Trans. Knowl. Data Eng. 35(12): 12542-12555 (2023) - [j11]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): 4:1-4:36 (2023) - [c139]Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren:
Feature-Level Debiased Natural Language Understanding. AAAI 2023: 13353-13361 - [c138]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: 10696-10711 - [c137]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: 11267-11281 - [c136]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: 441-451 - [c135]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: 5304-5307 - [c134]Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin:
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search. DSAA 2023: 1-2 - [c133]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: 14918-14937 - [c132]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: 15128-15145 - [c131]Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin:
MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale. ICDM 2023: 339-348 - [c130]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: 4185-4194 - [c129]Yuchen Li, Haoyi Xiong, Linghe Kong, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, Dawei Yin:
S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data. KDD 2023: 4437-4448 - [c128]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. KDD 2023: 4904-4913 - [c127]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: 3-15 - [c126]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 - [c125]Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin:
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. NeurIPS 2023 - [c124]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: 635-651 - [c123]Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang:
Disentangled Contrastive Collaborative Filtering. SIGIR 2023: 1137-1146 - [c122]Juanhui Li, Wei Zeng, Suqi Cheng, Yao Ma, Jiliang Tang, Shuaiqiang Wang, Dawei Yin:
Graph Enhanced BERT for Query Understanding. SIGIR 2023: 3315-3319 - [c121]Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Jingsen Zhang, Dawei Yin:
Sequential Recommendation with User Evolving Preference Decomposition. SIGIR-AP 2023: 253-263 - [c120]Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison:
Model-based Unbiased Learning to Rank. WSDM 2023: 895-903 - [c119]Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin:
User Retention-oriented Recommendation with Decision Transformer. WWW 2023: 1141-1149 - [i89]Anfeng Cheng, Yiding Liu, Weibin Li, Qian Dong, Shuaiqiang Wang, Zhengjie Huang, Shikun Feng, Zhicong Cheng, Dawei Yin:
Layout-aware Webpage Quality Assessment. CoRR abs/2301.12152 (2023) - [i88]Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin:
User Retention-oriented Recommendation with Decision Transformer. CoRR abs/2303.06347 (2023) - [i87]Dongxu Chang, Guanghui Wang, Guiying Yan, Dawei Yin:
An Optimization Model for Offline Scheduling Policy of Low-density Parity-check Codes. CoRR abs/2303.13762 (2023) - [i86]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. CoRR abs/2304.04171 (2023) - [i85]Weiwei Sun, Lingyong Yan, Xinyu Ma, Pengjie Ren, Dawei Yin, Zhaochun Ren:
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent. CoRR abs/2304.09542 (2023) - [i84]Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang:
Disentangled Contrastive Collaborative Filtering. CoRR abs/2305.02759 (2023) - [i83]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 abs/2305.09598 (2023) - [i82]Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison:
Unconfounded Propensity Estimation for Unbiased Ranking. CoRR abs/2305.09918 (2023) - [i81]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 abs/2305.15115 (2023) - [i80]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 abs/2306.01599 (2023) - [i79]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 abs/2306.02371 (2023) - [i78]Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin:
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. CoRR abs/2306.10453 (2023) - [i77]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 abs/2307.02737 (2023) - [i76]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 abs/2307.03393 (2023) - [i75]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 abs/2307.09751 (2023) - [i74]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. CoRR abs/2309.01029 (2023) - [i73]