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Jinesis Lab (UToronto) (@JinesisLab) β€œπŸš¨ Thrilled to share that our lab will be presenting the πŸ† Best Paper at the NE” β€” TopicDigg

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Jinesis Lab (UToronto)
@JinesisLab
Jinesis Lab led by Prof @ZhijingJin at @UofTCompSci @VectorInst conducts frontier research on Responsible AI, LLMs, and Causality.
加ε…₯ December 2025
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🚨 Thrilled to share that our lab will be presenting the πŸ† Best Paper at the NExT-Game Workshop at #ICML2026# today! 🎀 When Agents Lie: Premeditation, Persistence, and Exploitation in Repeated Games πŸ† Best Paper @ NExT-Game Workshop πŸ“ Conference Room S307 πŸ“… Fri, Jul 10 πŸ• 13:00–13:20 KST Authors: @JerickShi @TerryJCZhang @bschoelkopf @conitzer @ZhijingJin πŸ€– We introduce a three-stage endogenous promise protocol for repeated multi-agent games that asks not only whether LLM agents honor their public commitments when they can privately deviate, but also how model-on-model composition influences premeditated deception and persistent exploitation. πŸ“Š Across six canonical games spanning binary and numerical action spaces, our evaluation of frontier models (GPT-5.2, Llama-4-Maverick, Claude-Opus-4.6) reveals: πŸ”Ή Over 90% of promise-breaking instances are premeditated in agents' private plans. πŸ”Ή Mixed-model groups with mismatched communication frameworks create systemic, persistent payoff gaps of up to 5.00 points from Round 0. πŸ“„ Paper: #MultiAgentSystems# #LLMs# #GameTheory# #AI# #ICML2026#
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