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agent/papers/items/2026-2606-31916-theory-of-mind-and-persuasion-beyond-conversation-assessing-the-capacity-of-llms.md
2026-07-08 12:25:30 +08:00

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Paper: Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action


type: paper title: "Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action" authors: Ben Slater, Matteo G. Mecattaf, Lucy G. Cheke, John Burden, Winnie Street year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.31916 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-30 updated_at: 2026-06-30 status: queued relevance: high topics:

  • agent-evaluation
  • agent-safety
  • planning
  • reasoning
  • tool-use methods:

benchmarks:

models:

datasets:

  • cs.CL related_concepts:

collection_score: 13 collection_queries: agent-evaluation

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

  • matched queries: agent-evaluation
  • inferred topics: agent-evaluation, agent-safety, planning, reasoning, tool-use
  • arXiv categories: cs.CL
  • collection score: 13

Review Checklist

  • Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
  • Does it include a benchmark, dataset, code, or reproducible experimental setup?
  • Should it be promoted from queued to skimmed or summarized?