agent/papers/items/2026-2606-28925-multi-agent-routing-as-set-valued-prediction-a-wildchat-benchmark-and-cost-aware.md

Paper: Multi-Agent Routing as Set-Valued Prediction: A WildChat Benchmark and Cost-Aware Evaluation

---

type: paper title: "Multi-Agent Routing as Set-Valued Prediction: A WildChat Benchmark and Cost-Aware Evaluation" authors: Ananto Nayan Bala, Faisal Muhammad Shah year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.28925 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-27 updated_at: 2026-06-27 status: queued relevance: high topics:

• agent-evaluation
• multi-agent
• rag
• tool-use
• world-model methods:

benchmarks:

models:

datasets:

• cs.LG
• cs.AI
• cs.IR
• cs.MA related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 21 collection_queries: multi-agent-llm

One-line Takeaway

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

Why Collected

• matched queries: multi-agent-llm
• inferred topics: agent-evaluation, multi-agent, rag, tool-use, world-model
• arXiv categories: cs.LG, cs.AI, cs.IR, cs.MA
• 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 queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2606.28925