AgentSearch

agent-search.github.io AgentSearch Workshop @ SIGIR 2026 The First Workshop on Indexing, Retrieval, and Ranking of AI Agents

Bin Wu @binwu_cs · Sep 15

🚀 Our survey, “Agent and Tool Search: Foundations, Techniques, and Open Challenges,” is out!

📄 Paper: openreview.net/pdf?id=lk32qfu…
💻 Literature collection: github.com/Bingo-W/Awesom…

How can we choose suitable agents and tools as agent ecosystems grow? 🧵

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agent-search.github.io AgentSearch Workshop @ SIGIR 2026 The First Workshop on Indexing, Retrieval, and Ranking of AI Agents

Bin Wu @binwu_cs · Apr 27

🚀 New paper: AgentSearchBench — a benchmark for AI agent search in the wild.

As agent ecosystems grow, a fundamental question emerges: how do we find the right agent for a task?

We build a benchmark with ~10k real-world agents and show:

• Semantic similarity ≠ agent performance
• Description-based ranking often underestimates capable agents
• Execution-aware probing improves ranking

📄 Paper: arxiv.org/abs/2604.22436

Joint work with Arastun Mammadli @arastunmammadli (co-first author) and Xiaoyu Zhang, Emine Yilmaz @emine_yilm at the UCL AI Center @ai_ucl and UCL Computer Science @uclcs

#AI #Agents #LLM #InformationRetrieval

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