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Wanfu Wang

2 accepted papers

2025

From Awareness to Adaptability: Enhancing Tool Utilization for Scientific Reasoning

ACL 2025finding

As large language models (LLMs) are increasingly applied to complex scientific problem-solving, their effectiveness is often limited by unconscious or failed tool usage. To address this issue, we introduce the Tool-Awareness Training (TAT) method, designed to enhance scientific reasoning. This appro…

2025

Tool learning via Inference-time Scaling and Cycle Verifier

ACL 2025finding

In inference-time scaling, Chain-of-Thought (CoT) plays a crucial role in enabling large language models (LLMs) to exhibit reasoning capabilities. However, in many scenarios, high-quality CoT data is scarce or even unavailable. In such cases, STaR-like methods can help LLMs synthesize CoT based on u…