Yifan Xu

Orcid: 0009-0009-0188-4075

Affiliations:
  • Tsinghua University, Beijing, China


According to our database1, Yifan Xu authored at least 21 papers between 2022 and 2025.

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

2025
AgentRL: Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework.
CoRR, October, 2025

WebGLM: Towards an Efficient and Reliable Web-Enhanced Question-Answering System.
ACM Trans. Inf. Syst., September, 2025

MobileRL: Online Agentic Reinforcement Learning for Mobile GUI Agents.
CoRR, September, 2025

VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

A Survey of Post-Training Scaling in Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

AndroidGen: Building an Android Language Agent under Data Scarcity.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
AutoGLM: Autonomous Foundation Agents for GUIs.
CoRR, 2024

VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents.
CoRR, 2024

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.
CoRR, 2024

AgentBench: Evaluating LLMs as Agents.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

AlignBench: Benchmarking Chinese Alignment of Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
AlignBench: Benchmarking Chinese Alignment of Large Language Models.
CoRR, 2023

GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation.
CoRR, 2023

WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

GLM-130B: An Open Bilingual Pre-trained Model.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
GLM-130B: An Open Bilingual Pre-trained Model.
CoRR, 2022

XDAI: A Tuning-free Framework for Exploiting Pre-trained Language Models in Knowledge Grounded Dialogue Generation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022


  Loading...