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News/Grounded Iterative Language Planning: How Parameterized World Models Reduce Hallucination Propagation in LLM Agents
arxiv
PublishedJuly 3, 2026 at 4:00 AM
▲bullish

Grounded Iterative Language Planning: How Parameterized World Models Reduce Hallucination Propagation in LLM Agents

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arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2606.27806v2 Announce Type: replace Abstract: World models for language agents come in two useful forms. An agent-based world model calls an LLM API and reasons flexibly in language, but its errors appear as hallucinated state changes that are hard to score with ordinary regression losses. A p

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    GPT-4o-mini
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Mentioned models
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    GPT-4o-mini
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arxiv
Read original ↗All from arxiv →
Tags
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#planning#language-agents#world-models#hallucination

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