🏙️ Works of Rhine-Neckar from 2022

2 works · the most cited first · ← Rhine-Neckar

1. You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual SettingsBigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language ModelsZeerak Talat, Aurélie Névéol, Stella Biderman, et al.2022 · 130 citations
2. ParaDetox: Detoxification with Parallel DataAnnual Meeting of the Association for Computational Linguistics (ACL)Varvara Logacheva, Daryna Dementieva, Sergey Ustyantsev, et al.2022 · 120 citations

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