agent/papers/items/2026-2607-06157-llm-agents-for-deliberative-collaboration-a-study-on-joint-decision-making-under.md

Paper: LLM Agents for Deliberative Collaboration: A Study on Joint Decision Making Under Partial Observability

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type: paper title: "LLM Agents for Deliberative Collaboration: A Study on Joint Decision Making Under Partial Observability" authors: Chenxu Wang, Yongkun Yang, Boyuan Du, Shiwei Lin, Huaping Liu year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.06157 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-07 updated_at: 2026-07-07 status: queued relevance: high topics:

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

benchmarks:

models:

datasets:

• cs.CL
• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 18 collection_queries: llm-agent, multi-agent-llm

One-line Takeaway

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

Why Collected

• matched queries: llm-agent, multi-agent-llm
• inferred topics: agent-evaluation, multi-agent, reasoning, tool-use
• arXiv categories: cs.CL, 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/2607.06157