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Tommaso Tosato

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#artificial intelligence Review Sep 2026

Quantifying Overclaiming Propensity in Frontier LLM Agents

This work operationalizes overclaiming as a final response that reports work that the agent's own transcript shows it did not do, for example, claiming to have read a file it never opened, showing that claims of completion can conceal substantive failures.

Nolan Smyth, Yorguin-Jose Mantilla-Ramos, Pascal Junior Tikeng Notsawo et al. · 2 citations · ⚡1
#artificial intelligence Preprint May 2026

Position: Collusion Risks Among AI Reasoning Agents Justify Certification Requirements for Making Market Decisions

This position paper argues that AI agents with chain-of-thought reasoning capabilities are predisposed to exhibit collusive behavior and should be required to obtain behavioral certification before making decisions that affect economic markets, and provides preliminary evidence that such agents can be steered in a gene...

Matthew Riemer, Tommaso Tosato, Amin Memarian et al. · 0 citations

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