Xuanyu Lei

According to our database1, Xuanyu Lei authored at least 16 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

On csauthors.net:

Bibliography

2026
R2-Write: Reflection and Revision for Open-Ended Writing with Deep Reasoning.
CoRR, April, 2026

2025
Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning.
CoRR, June, 2025

Agent-Environment Alignment via Automated Interface Generation.
CoRR, May, 2025

Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal Models.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
AIGS: Generating Science from AI-Powered Automated Falsification.
CoRR, 2024

Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal Models.
CoRR, 2024

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

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

SafetyBench: Evaluating the Safety of Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation.
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

CritiqueLLM: Scaling LLM-as-Critic for Effective and Explainable Evaluation of Large Language Model Generation.
CoRR, 2023

SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions.
CoRR, 2023

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


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