Sachin Kumar
Sachin Kumar has 4 papers in our library, in 2023–2024, most of them on Language models & pretraining, Text generation, Bias, fairness & safety; often with Yulia Tsvetkov, Yejin Choi, Alane Suhr.
OpenAlex · ORCID · h-index 37 · 211 works · 5,945 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 312 citations in our library · 3 more in our library without a page yet · ⭐ Paper Star rank #3687
Affiliations
Concepts, shelves and topics
💡 Concepts 1 Subword tokenization · 1 work
📚 Shelves 8 Artificial Intelligence · 4 works Arts and Humanities · 4 works Computer Science · 4 works Language and Linguistics · 4 works Safety Research · 2 works Social Sciences · 2 works Developmental and Educational Psychology · 1 work Psychology · 1 work
🧭 Topics 4 Language models & pretraining · 3 works Text generation · 1 work Tokenization & segmentation · 1 work Bias, fairness & safety · 1 work
Works by year
2020s
Papers
- Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models (2023 · 164 citations)
Commercial LM APIs bill per token, but how many tokens a text needs depends on the tokenizer and its training data. - WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models (2024 · 89 citations)
Frontier LLMs can still be jailbroken, and open safety-training data is scarce, since even open-weight models rarely publish theirs. - Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey (2023 · 87 citations)
Much has been written about the dangers of large text generators, but practical ways to counter them were scattered across separate research communities. - Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker (2023 · 74 citations)
Large language models still handle theory of mind (ToM) poorly. They struggle to track what each character in a story believes, especially when a belief is false, and what one character assumes about another's beliefs. Earlier fixes trained models on templated benchmarks, and those models tend to exploit dataset…
All works
- Do All Languages Cost the Same? Tokenization in the Era of Commercial Language ModelsOrevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.Conference on Empirical Methods in Natural… · 164 citations
- WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language ModelsLiwei Jiang, Kavel Rao, Seungju Han, et al.Conference on Neural Information Processing… · 89 citations
- Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable SurveySachin Kumar, Vidhisha Balachandran, Lucille Njoo, et al.Conference of the European Chapter of the… · 87 citations
- Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief TrackerMelanie Sclar, Sachin Kumar, Peter West, et al.Annual Meeting of the Association for… · 74 citations
- MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization (original ↗)Orevaoghene Ahia et al.2024 · arXiv:2407.08818 · 16 citations · no summary yet
- FLEXITOKENS: Flexible Tokenization for Evolving Language Models (original ↗)Abraham Toluwase Owodunni, Orevaoghene Ahia, Sachin Kumar2026 · Findings of the Association for Computational… · 2 citations · no summary yet
- Reasoning Up the Instruction Ladder for Controllable Language Models (original ↗)Zishuo Zheng et al.2026 · Findings of the Association for Computational… · 1 citation · no summary yet
Co-authors here
- Yulia Tsvetkov ×3
- Yejin Choi ×2
- Alane Suhr
- Allyson Ettinger
- Antonios Anastasopoulos
- David R. Mortensen
- Faeze Brahman
- Hila Gonen
- Jungo Kasai
- Kavel Rao
- Liwei Jiang
- Maarten Sap
Venues
- Findings of the Association for Computational Linguistics… ×2
- Annual Meeting of the Association for Computational…: 2023
- Conference of the European Chapter of the Association for…: 2023
- Conference on Empirical Methods in Natural Language…: 2023
- Conference on Neural Information Processing Systems…: 2024
Cited by
Updated
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