agent/papers/items/2026-2605-05242-beyond-semantic-similarity-rethinking-retrieval-for-agentic-search-via-direct-co.md

Paper: Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction

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type: paper title: "Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction" authors: Zhuofeng Li, Haoxiang Zhang, Cong Wei, Pan Lu, Ping Nie, Yi Lu, Yuyang Bai, Shangbin Feng, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.05242 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-03 updated_at: 2026-05-03 status: queued relevance: high topics:

• agent-evaluation
• planning
• rag
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.IR
• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 collection_queries: language-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: language-agent
• inferred topics: agent-evaluation, planning, rag, reasoning, tool-use
• arXiv categories: cs.IR, cs.AI
• collection score: 15

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 queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2605.05242