1.5 KiB
1.5 KiB
Paper: Agentic Hybrid RAG for Evidence-Grounded Muon Collider Analysis
type: paper title: Agentic Hybrid RAG for Evidence-Grounded Muon Collider Analysis authors: Ruobing Jiang, Dawei Fu, Cheng Jiang, Tianyi Yang, Zijian Wang, Youpeng Wu, Yong Ban, Yajun Mao, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.10381 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-09 updated_at: 2026-06-09 status: queued relevance: high topics:
- agent-evaluation
- rag
- reasoning
- tool-use
- workflow-agent methods:
benchmarks:
models:
datasets:
- hep-ex
- cs.AI
- cs.CL
- cs.IR
- physics.ins-det related_concepts:
related_jobs:
related_experiments:
related_projects:
collection_score: 15 collection_queries: rag-agent
One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
Why Collected
- matched queries: rag-agent
- inferred topics: agent-evaluation, rag, reasoning, tool-use, workflow-agent
- arXiv categories: hep-ex, cs.AI, cs.CL, cs.IR, physics.ins-det
- 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
queuedtoskimmedorsummarized?