τ-bench-LILT
by LILT (Kaden Uhlig, Kiarash Mokhtari, Anıl Arslan, Yunsu Kim, Joern Wuebker)
What is τ-bench-LILT? τ-bench-LILT is a multilingual & indian languages eval made by LILT (Kaden Uhlig, Kiarash Mokhtari, Anıl Arslan, Yunsu Kim, Joern Wuebker). A multilingual version of τ³-bench for tool-using customer service agents, covering German, Korean, Turkish and Farsi in the airline, retail, telecom and banking domains. Native speakers localized the customer databases, user-simulator prompts and tasks rather than machine-translating them. Across eight agent models the paper reports the biggest drops against English in Korean and Farsi retail, up to 61 points in pass^4. Code is on GitHub, data on Hugging Face (lilt-ai/tau-bench-lilt), with a leaderboard on LILT's Aurora site.
Editor note
A multilingual version of τ³-bench for tool-using customer service agents, covering German, Korean, Turkish and Farsi in the airline, retail, telecom and banking domains. Native speakers localized the customer databases, user-simulator prompts and tasks rather than machine-translating them. Across eight agent models the paper reports the biggest drops against English in Korean and Farsi retail, up to 61 points in pass^4. Code is on GitHub, data on Hugging Face (lilt-ai/tau-bench-lilt), with a leaderboard on LILT's Aurora site.
- What it tests
- Whether a support agent built and tested in English still follows policy and uses tools correctly with customers in other languages and locales.
- Original source
- github.com/lilt/tau-bench-lilt
- Last updated
- Repo last push 2026-11-06; arXiv v1 2026-11-04
- License
- MIT
Related multilingual & indian languages evals
- IndicGenBench — Text generation quality in Indic languages.
- MILU — Multi-subject understanding in Indian languages and culture.
- Global-MMLU — Knowledge across languages and cultural sensitivity.
- Samiksha — Culturally grounded health chatbot answers in Indian languages.
Discussion
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