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Paper: CRAB-Bench: Evaluating LLM Agents under Complex Task Dependencies and Human-aligned User Simulation


type: paper title: "CRAB-Bench: Evaluating LLM Agents under Complex Task Dependencies and Human-aligned User Simulation" authors: Danqing Wang, Akshay Sivaraman, Lei Li year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.01815 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-01 updated_at: 2026-06-01 status: queued relevance: high topics:

  • agent-evaluation
  • tool-use
  • world-model methods:

benchmarks:

models:

datasets:

  • cs.CL related_concepts:

collection_score: 15 collection_queries: agent-evaluation

One-line Takeaway

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

Why Collected

  • matched queries: agent-evaluation
  • inferred topics: agent-evaluation, tool-use, world-model
  • arXiv categories: cs.CL
  • collection score: 15

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?