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nbharaths/tau-rec

τ-Rec (Tau-Rec): A Verifiable Benchmark for Agentic Recommender Systems τ-Rec (Tau-Rec) is a verifiable benchmark for LLM-based conversational recommender systems (CRSs). It evaluates whether an agent can elicit preferences, use catalog tools, follow policy, and recommend a movie satisfying every user constraint. Scoring is programmatic—no LLM judge. Paper: ACM RecSys 2026 (Reproducibility and Resource Track) DOI: https://doi.org/10.1145/3773078.3831847 arXiv:… See the full description on the dataset page: https://huggingface.co/datasets/nbharaths/tau-rec.

Author / organizationnbharaths
License (as declared)cc-by-4.0
Downloads195 (as reported by Hugging Face)
Likes0
Created11 June 2026
Last updated at source28 September 2026
recommender-systemsconversational-recommendationconversational-recommender-systemscrstau-recagenticllm-evaluationbenchmarkagent-benchmarktool-useleaderboard
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