Subhabrata Dutta
Subhabrata Dutta has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with Iryna Gurevych, Eyke Hüllermeier, Frauke Kreuter.
OpenAlex · ORCID · h-index 8 · 48 works · 247 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 60 times in our library · ⭐ Paper Stars ranking: #6956
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksComputer Science · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksHistory and Philosophy of Science · 1 work
🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 1 workMultilingual & cross-lingual NLP · 1 workReasoning · 1 workEvaluation & benchmarks · 1 work
Works by year
2020s
Papers
- Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment (2023 · 82 citations)
Large language models can perform in-context learning (ICL): they read a few labeled demonstrations in the prompt and predict a test label without any weight updates. - Problem Solving Through Human–AI Preference-based Cooperation (2025 · 9 citations)
Generative AI systems, including LLMs, vision-language models and code models, still struggle with complex expert-domain tasks. - Reward Modeling for Scientific Writing Evaluation (2026)
The paper tackles the automatic evaluation of scientific writing, where off-the-shelf LLM judges and general-purpose reward models tend to misapply task-specific criteria and rubrics and to make assumptions beyond them.
Co-authors here
- Iryna Gurevych ×2
- Eyke Hüllermeier
- Frauke Kreuter
- Goran Glavaš
- Hinrich Schütze
- Ivan Habernal
- Kristian Kersting
- Tanmoy Chakraborty
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026, ACL 2023
- Computational Linguistics: Computational Linguistics 2025
Cited by
Updated
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