wuyang
1.6 KiB
1.6 KiB
Paper: WebRetriever: A Large-Scale Comprehensive Benchmark for Efficient Web Agent Evaluation
type: paper title: "WebRetriever: A Large-Scale Comprehensive Benchmark for Efficient Web Agent Evaluation" authors: Wei Dong, Tianyu Fu, Zhe Yu, Hanning Wang, Anyang Su, Zhizhou Fang, Yuyang Chen, Shuo Wang, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.06118 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
- agent-safety
- computer-use
- embodied-agent
- rag
- tool-use
- workflow-agent methods:
benchmarks:
models:
datasets:
- cs.CV
- cs.MM related_concepts:
related_jobs:
related_experiments:
related_projects:
collection_score: 21 collection_queries: agent-evaluation, web-gui-agent
One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
Why Collected
- matched queries: agent-evaluation, web-gui-agent
- inferred topics: agent-evaluation, agent-safety, computer-use, embodied-agent, rag, tool-use, workflow-agent
- arXiv categories: cs.CV, cs.MM
- collection score: 21
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
queuedtoskimmedorsummarized?