Yesai Wu

According to our database1, Yesai Wu authored at least 13 papers between 2024 and 2025.

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

Timeline

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Bibliography

2025
MiniCPM4: Ultra-Efficient LLMs on End Devices.
CoRR, June, 2025

AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning.
CoRR, June, 2025

AC-Reason: Towards Theory-Guided Actual Causality Reasoning with Large Language Models.
CoRR, May, 2025

Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Learning Evolving Tools for Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Learning to Generate Structured Output with Schema Reinforcement Learning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs.
CoRR, 2024

RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation.
CoRR, 2024

Investigate-Consolidate-Exploit: A General Strategy for Inter-Task Agent Self-Evolution.
CoRR, 2024

DebugBench: Evaluating Debugging Capability of Large Language Models.
CoRR, 2024

DebugBench: Evaluating Debugging Capability of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024


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