1.5 KiB
1.5 KiB
Paper: SHERLOC: Structured Diagnostic Localization for Code Repair Agents
type: paper title: "SHERLOC: Structured Diagnostic Localization for Code Repair Agents" authors: Hovhannes Tamoyan, Sean Narenthiran, Erik Arakelyan, Mira Mezini, Boris Ginsburg year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.24820 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-23 updated_at: 2026-06-23 status: queued relevance: high topics:
- agent-evaluation
- coding-agent
- multi-agent
- rag
- reasoning
- tool-use methods:
benchmarks:
models:
datasets:
- cs.CL related_concepts:
related_jobs:
related_experiments:
related_projects:
collection_score: 20 collection_queries: coding-agent, multi-agent-llm, tool-use
One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
Why Collected
- matched queries: coding-agent, multi-agent-llm, tool-use
- inferred topics: agent-evaluation, coding-agent, multi-agent, rag, reasoning, tool-use
- arXiv categories: cs.CL
- collection score: 20
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?