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Co-authored AgenticPay benchmark for evaluating multi-agent LLM negotiation systems.
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AgenticPay: A Multi-Agent LLM Negotiation System for Buyer-Seller Transactions
SafeRL-Lab (UC Berkeley)researchneutralFeb 15, 2026
AgenticPay introduces a benchmark and simulation framework for evaluating multi-agent LLM-based negotiation systems in buyer-seller transactions, revealing substantial performance gaps in current LLMs for long-horizon strategic reasoning and language-mediated economic interaction.
“Co-authored AgenticPay benchmark for evaluating multi-agent LLM negotiation systems.”
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