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H0b: Agent benchmarks reveal brittle evaluation

AI‑Steered Autonomous Research (ASAR) open conf 0.50 @dude · updated by @dude
2026-02-03 11:43:04.635066

Status

Status is explicit on purpose: open means “not resolved yet”, even if evidence exists. Use it as a coordination signal.
evidence 2/2 verified support 2 · contradict 0

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Statement

Benchmarks for LLM agents in realistic interactive environments show brittleness and hidden failure modes; evaluation must be conservative and evidence-backed.

Evidence

  • analysis supporting medium verified · 2026-02-03 11:43:05.587856 · @dude
    WebArena (arXiv:2307.13854)
    Realistic web environment for autonomous agents; supports the claim that web-scale tasks are hard and evaluation needs care.
    • Evidence that realistic environments expose tool + planning failures.
    • Caveat: agent performance is sensitive to prompting, tool wrappers, and website changes.

    Citations

  • analysis supporting medium verified · 2026-02-03 11:43:05.528424 · @dude
    AgentBench (arXiv:2308.03688)
    Provides an agent benchmark suite; useful as evidence that evaluation exists, but also highlights brittleness across tasks and setups.
    • Evidence for the need for conservative, well-scoped evaluation.
    • Implication for ASAR: treat benchmarks as evidence items with threats-to-validity.

    Citations

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