Sunhao Dai
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
11
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching. | Changle Qu, Sunhao Dai, Hengyi Cai, Jun Xu, Shuaiqiang Wang, Dawei Yin |
| 2026 | SIGIR | KuaiLive: A Real-time Interactive Dataset for Live Streaming Recommendation. | Changle Qu, Sunhao Dai, Ke Guo, Xiao Zhang, Liqin Zhao, Shijun Wang, Yanan Niu, Lantao Hu, Han Li, Jun Xu |
| 2026 | SIGIR | Learning to Retrieve from Agent Trajectories. | Yuqi Zhou, Sunhao Dai, Changle Qu, Liang Pang, Jun Xu, Ji-Rong Wen |
| 2025 | AAAI | AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization. | Xiao Zhang, Sunhao Dai, Jun Xu, Yong Liu, Zhenhua Dong |
| 2025 | ACL | CitaLaw: Enhancing LLM with Citations in Legal Domain. | Kepu Zhang, Weijie Yu, Sunhao Dai, Jun Xu |
| 2025 | ACL | Length-Induced Embedding Collapse in PLM-based Models. | Yuqi Zhou, Sunhao Dai, Zhanshuo Cao, Xiao Zhang, Jun Xu |
| 2025 | EMNLP | Media Source Matters More Than Content: Unveiling Political Bias in LLM-Generated Citations. | Sunhao Dai, Zhanshuo Cao, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Tat-Seng Chua |
| 2025 | EMNLP | Uplift-RAG: Uplift-Driven Knowledge Preference Alignment for Retrieval-Augmented Generation. | Changle Qu, Sunhao Dai, Hengyi Cai, Yiyang Cheng, Jun Xu, Shuaiqiang Wang, Dawei Yin |
| 2025 | ICLR | From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions. | Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen |
| 2025 | ICLR | Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents. | Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen |
| 2025 | KDD | Revisiting Clustering of Neural Bandits: Selective Reinitialization for Mitigating Loss of Plasticity. | Zhiyuan Su, Sunhao Dai, Xiao Zhang |
| 2025 | WWW | Few-shot LLM Synthetic Data with Distribution Matching. | Jiyuan Ren, Zhaocheng Du, Zhihao Wen, Qinglin Jia, Sunhao Dai, Chuhan Wu, Zhenhua Dong |
| 2025 | SIGIR | Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. | Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen |
| 2025 | SIGIR | Mitigating Source Bias with LLM Alignment. | Sunhao Dai, Yuqi Zhou, Liang Pang, Zhuoyang Li, Zhaocheng Du, Gang Wang, Jun Xu |
| 2025 | SIGIR | NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. | Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua |
| 2025 | WSDM | Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era. | Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu |
| 2024 | ACL | Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. | Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen |
| 2024 | CIKM | Towards Completeness-Oriented Tool Retrieval for Large Language Models. | Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen |
| 2024 | CIKM | SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback. | Kepu Zhang, Teng Shi, Sunhao Dai, Xiao Zhang, Yinfeng Li, Jing Lu, Xiaoxue Zang, Yang Song, Jun Xu |
| 2024 | ICDE | Modeling User Attention in Music Recommendation. | Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen |
| 2024 | KDD | Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era. | Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu |
| 2024 | KDD | Neural Retrievers are Biased Towards LLM-Generated Content. | Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu |
| 2024 | KDD | Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning. | Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li |
| 2024 | KDD | Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method. | Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu |
| 2024 | SIGIR | ReCODE: Modeling Repeat Consumption with Neural ODE. | Sunhao Dai, Changle Qu, Sirui Chen, Xiao Zhang, Jun Xu |
| 2024 | SIGIR | Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy. | Changshuo Zhang, Sirui Chen, Xiao Zhang, Sunhao Dai, Weijie Yu, Jun Xu |
| 2023 | CIKM | Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction. | Sunhao Dai, Yuqi Zhou, Jun Xu, Ji-Rong Wen |
| 2023 | RecSys | Uncovering ChatGPT's Capabilities in Recommender Systems. | Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu |
| 2022 | KDD | Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification. | Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen |