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cs.AI2026
PieArena: Ranking and Profiling Language Agents in Realistic Negotiation Scenarios
Chris Zhu, Sasha Cui, Will Sanok Dufallo +4
We present an in-depth evaluation of LLMs' ability to negotiate, a central business task requiring strategic reasoning, theory of mind, and economic value creation. To do so, we in…
cs.AI2025★ 1 cited
Establishing Best Practices for Building Rigorous Agentic Benchmarks
Yuxuan Zhu, Tengjun Jin, Yada Pruksachatkun +22
Benchmarks are essential for quantitatively tracking progress in AI. As AI agents become increasingly capable, researchers and practitioners have introduced agentic benchmarks to e…