{
 "id": "DGurgurov/CLaS-Bench",
 "owner": "DGurgurov",
 "name": "CLaS-Bench",
 "downloads": 590,
 "likes": 1,
 "last_modified": "2026-10-09T02:06:19.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
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 "gated": false,
 "tasks": [
  "text-generation",
  "translation"
 ],
 "citation": "@inproceedings{gurgurov-etal-2026-clas,\n    title = \"{CL}a{S}-Bench: A Cross-Lingual Alignment and Steering Benchmark\",\n    author = \"Gurgurov, Daniil  and\n      Al Ghussin, Yusser  and\n      Baeumel, Tanja  and\n      Chou, Cheng-Ting  and\n      Schramowski, Patrick  and\n      Mosbach, Marius  and\n      van Genabith, Josef  and\n      Ostermann, Simon\",\n    editor = \"Liakata, Maria  and\n      Moreira, Viviane P.  and\n      Zhang, Jiajun  and\n      Jurgens, David\",\n    booktitle = \"Findings of the {A}ssociation for {C}omputational {L}inguistics: {ACL} 2026\",\n    month = jul,\n    year = \"2026\",\n    address = \"San Diego, California, United States\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2026.findings-acl.1086/\",\n    doi = \"10.18653/v1/2026.findings-acl.1086\",\n    pages = \"21591--21628\",\n    ISBN = \"979-8-89176-395-1\",\n    abstract = \"Understanding and controlling the behavior of large language models (LLMs) is an increasingly important topic in multilingual NLP. Beyond prompting or fine-tuning, $\\textit{language steering}$, i.e.,{~}manipulating internal representations during inference, has emerged as a more efficient and interpretable technique for adapting models to a target language. Yet, no dedicated benchmarks or evaluation protocols exist to quantify the effectiveness of steering techniques. We introduce $CLaS-Bench$, a lightweight parallel-question benchmark for evaluating language-forcing behavior in LLMs across 32",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "c510310cda1acea0d54b16583f3cb60f383209a7",
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}