Evaluation & Benchmarks · 2023

Agent/Web Benchmarks (AgentBench/WebArena/GAIA/tau-bench)

Xiao Liu, Jie Tang, Shuyan Zhou, Graham Neubig, Grégoire Mialon, Thomas Scialom, Shunyu Yao, Karthik Narasimhan

A family of interactive agent benchmarks (WebArena, AgentBench, GAIA, tau-bench) that evaluate models on multi-step tasks in realistic executable environments (live websites, tools, APIs, simulated customer service) rather than static prompts, measuring whether an agent actually completes a goal.

Editorial record

Plain-language summary

Static QA benchmarks cannot measure whether a model can plan and act over many steps against a stateful environment. WebArena provides self-hosted realistic websites where agents must navigate and complete tasks judged by end-state, AgentBench spans multiple environments (OS, database, web, games), GAIA poses real-world questions needing tool use and multi-hop reasoning, and tau-bench simulates tool-and-user customer-service dialogues. By scoring task completion in executable settings, they exposed a large gap between chat competence and reliable agentic execution.

Source record

Provenance

Record ID
P-446
Record created
2026-07-13
Last reviewed
2026-07-14
Record version
2

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