tau-rec
τ-Rec: verifiable benchmarks for agentic conversational recommenders. The original movies benchmark (ACM RecSys 2026 Resource Track) and τ-Rec-Books, a controlled books benchmark on Wikidata (ECIR 2027 submission).
τ-Rec measures whether an agent-under-test can hold a multi-turn conversation with a simulated user, use catalog tools to gather information, respect a written policy, and ultimately recommend a movie that satisfies all of the user's constraints. Success is checked programmatically against the catalog — not by an LLM judge — so scores are reproducible and cheap to compute.
⚡ How to use tau-rec
Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:
https://meshkore.com/agent/nbharaths-tau-recCapabilities
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