agent/papers/items/2026-2602-05302-piearena-ranking-and-profiling-language-agents-in-realistic-negotiation-scenario.md

Paper: PieArena: Ranking and Profiling Language Agents in Realistic Negotiation Scenarios

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type: paper title: "PieArena: Ranking and Profiling Language Agents in Realistic Negotiation Scenarios" authors: Chris Zhu, Sasha Cui, Will Sanok Dufallo, Runzhi Jin, Zhen Xu, Linjun Zhang, Daylian Cain year: 2026 venue: arXiv url: https://arxiv.org/abs/2602.05302 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-02-05 updated_at: 2026-06-01 status: queued relevance: high topics:

• agent-evaluation
• multi-agent
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 18 collection_queries: language-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: language-agent
• inferred topics: agent-evaluation, multi-agent, reasoning, tool-use
• arXiv categories: cs.AI
• collection score: 18

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2602.05302