[KongchangAI]
Paper

Closed-World Resolution Against Tool Hallucination in LLM Agents

An academic paper published on arXiv that systematically investigates tool hallucination in LLM agents, proposes a five-category taxonomy (H1–H5), and introduces a closed-world resolution cascade defense mechanism.

Timeline (last 90 days)

Sep 18

The arXiv paper 'Closed-World Resolution Against Tool Hallucination in LLM Agents' reveals the problem of Tool Hallucination.

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Sep 18

The researchers tested ten hosted models under two calling interfaces and recorded a total of 322 real hallucination cases.

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Sep 18

A large model with 675B parameters performed on par with small models of 7–8B on tool hallucinations, indicating that model scale cannot solve tool hallucination.

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