Multilingual & Indian languages

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.

Page last updated 2026-10-18 · Evals Review

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

Facts come only from the linked source (checked 15–16 Oct 2026). Credit belongs to the creators. We don't score or rank evals: how we review.

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