Papers by Guoqing Sun

2 papers
Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models (2026.findings-acl)

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Challenge: Existing automatic prompt optimization methods fail to optimize prompts and decoding hyperparameters within a unified framework to achieve stable global improvements.
Approach: They propose a dynamic prompt optimization framework for complex reasoning that unifies prompt templates and decodes hyperparameters as inheritable agent configurations.
Outcome: Experiments on multiple mathematical and hybrid reasoning benchmarks show that Agent-GWO improves accuracy and stability over existing prompt optimization methods.
A Diverse and Effective Retrieval-Based Debt Collection System with Expert Knowledge (2025.naacl-industry)

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Challenge: Existing debt collection systems lack script diversity, contextual relevance and coherence due to their complexity.
Approach: They propose a script library based on real-world debt collection conversations and a retrieval based response system for contextual relevance.
Outcome: The proposed system improves script diversity and responds to debtor-collector conversations better through knowledge distillation.

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