Papers with tool calling

2 papers
TOOL-ED: Enhancing Empathetic Response Generation with the Tool Calling Capability of LLM (2025.coling-main)

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Challenge: Empathetic conversation is a crucial characteristic in daily conversations between individuals.
Approach: They propose an Emotional Knowledge Tool Calling framework which encapsulates commonsense knowledge bases as empathetic tools, enabling LLMs to integrate external knowledge flexibly.
Outcome: The proposed framework can generate empathetic responses effectively on the TOOL-ED dataset.
Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists (2025.findings-acl)

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Challenge: Large language models (LLMs) have advanced natural language processing, but their effectiveness is often hampered by parameter mis-filling during tool calling.
Approach: They propose a hierarchical tool error checklist framework to diagnose and mitigate tool-calling errors without relying on extensive real-world interactions.
Outcome: The proposed framework improves parameter-filling accuracy and tool-calling success rates compared to baseline methods.

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