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Cattle Trade: First LLM Benchmark for Bluffing, Bidding, Bargaining

Originally published on AI Tech Connect.

Why this benchmark matters now Negotiation agents are quietly everywhere. A procurement bot in a Pune auto-component plant haggling with a tier-two supplier. A sales co-pilot in a Manchester SaaS team running an outbound discount conversation. A supply-chain coordinator in a Mumbai GCC routing constrained inventory between three competing internal business units. Each of these systems is making decisions with the same three primitives — bluffing under imperfect information, bidding under uncertainty, and bargaining under conflicting incentives — and until last week none of them had a public benchmark to be evaluated against. Cattle Trade, posted to arXiv on 14 May 2026 as paper 2605.14537, fills that gap. It is a competitive multi-agent economic game in which several LLM agents trade…


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