Wei He

Orcid: 0009-0002-9240-5330

Affiliations:
  • Fudan University, School of Computer Science, Fudan NLP Group, Shanghai, China


According to our database1, Wei He authored at least 18 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
Better Process Supervision with Bi-directional Rewarding Signals.
CoRR, March, 2025

The rise and potential of large language model based agents: a survey.
Sci. China Inf. Sci., 2025

Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Better Process Supervision with Bi-directional Rewarding Signals.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
TopicAns: Topic-informed Architecture for Answer Recommendation on Technical Q&A Site.
ACM Trans. Softw. Eng. Methodol., January, 2024

Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision.
CoRR, 2024

Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling.
CoRR, 2024

Distill Visual Chart Reasoning Ability from LLMs to MLLMs.
CoRR, 2024

AgentGym: Evolving Large Language Model-based Agents across Diverse Environments.
CoRR, 2024

LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration.
CoRR, 2024

Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

LongHeads: Multi-Head Attention is Secretly a Long Context Processor.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
The Rise and Potential of Large Language Model Based Agents: A Survey.
CoRR, 2023

Towards Understanding the Capability of Large Language Models on Code Clone Detection: A Survey.
CoRR, 2023

2022
AixBench: A Code Generation Benchmark Dataset.
CoRR, 2022


  Loading...