Zhefan Wang

Orcid: 0000-0001-7176-8234

Affiliations:
  • Tsinghua University, Department of Computer Science and Technology (DCST), Beijing, China


According to our database1, Zhefan Wang authored at least 11 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Personalized Turn-Level User Conversation Satisfaction Benchmark.
CoRR, May, 2026

2025
Generative Sequential Recommendation via Hierarchical Behavior Modeling.
CoRR, November, 2025

Intelligent Agents with Adaptive Knowledge Fusion for Personalized Recommendation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Human vs. Agent in Task-Oriented Conversations.
Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2025

StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMs.
CoRR, 2024

Multi-Agent Collaboration Framework for Recommender Systems.
CoRR, 2024

MACRec: A Multi-Agent Collaboration Framework for Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models.
Proceedings of the Database Systems for Advanced Applications, 2024

2023
Intent-aware Ranking Ensemble for Personalized Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022
Target Interest Distillation for Multi-Interest Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022


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