Papers by Cheryl Lee
UniDebugger: Hierarchical Multi-Agent Framework for Unified Software Debugging (2025.emnlp-main)
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Cheryl Lee, Chunqiu Steven Xia, Longji Yang, Jen-tse Huang, Zhouruixing Zhu, Lingming Zhang, Michael R. Lyu
| Challenge: | Existing LLMs focus on isolated steps and struggle with complex bugs. |
| Approach: | They propose a framework for unified debugging through multi-agent synergy . it mimics the entire cognitive processes of developers with each agent specialized as a particular component of this process . |
| Outcome: | The proposed framework outperforms state-of-the-art methods on repo-level benchmarks. |
Learning to Ask: When LLM Agents Meet Unclear Instruction (2025.emnlp-main)
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Wenxuan Wang, Shi Juluan, Zixuan Ling, Yuk-Kit Chan, Chaozheng Wang, Cheryl Lee, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu
| Challenge: | Despite their impressive capabilities, LLMs struggle with complex computations and delivering accurate, timely information. |
| Approach: | They propose a framework that prompts LLM agents to ask questions when they encounter obstacles due to unclear instructions and an automated evaluation tool called ToolEvaluator. |
| Outcome: | The proposed framework outperforms existing frameworks for tool learning in the Noisy ToolBench. |