Rocktim Jyoti Das
Rocktim Jyoti Das has 4 papers in our library, in 2024–2026, most of them on Language models & pretraining, English, Question answering; often with Preslav Nakov, Alham Fikri Aji, Chenyang Lyu.
OpenAlex · h-index 5 · 20 works · 106 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 50 times in our library · ⭐ Paper Stars ranking: #8085
Affiliations
Fields, topics and concepts
📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 2 worksHealth Informatics · 1 workHealth Information Management · 1 workHealth Professions · 1 workMedicine · 1 work
🧭 Topics 5Research subjects and languages the work is about.Language models & pretraining · 2 worksEnglish · 2 worksDialogue systems · 1 workQuestion answering · 1 workSemitic languages · 1 work
Works by year
2020s
Papers
- Factuality of Large Language Models: A Survey (2024 · 77 citations)
Chat-oriented LLMs often give confident answers that contradict real-world facts, which limits their use in practice. - MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations (2024 · 14 citations)
Medical task-oriented dialogue (TOD) systems could help doctors by gathering a patient's history before or during a consultation. - From Multiple-Choice to Extractive QA: A Case Study for English and Arabic (2025 · 1 citation)
Annotated data for task-specific NLP is scarce outside a few major languages. The authors ask whether a dataset built for one QA format can be turned into another. They take part of BELEBELE, a multiple-choice reading-comprehension benchmark covering 122 language variants, and convert it into extractive QA (EQA)… - Nanda Family: Open-Weights Generative Large Language Models for Hindi (2026)
Most LLMs are built mainly around English. This leaves Hindi underserved, even though it is one of the most widely spoken languages. Hindi also lacks large, clean corpora and culturally aware models. The authors present the Nanda family, two open-weight bilingual Hindi–English chat models: Nanda-10B, based on…
Co-authors here
- Preslav Nakov ×2
- Alham Fikri Aji
- Chenyang Lyu
- Debopriyo Banerjee
- Dhruv Sahnan
- Fajri Koto
- Fei Liu
- Georgi Nenkov Georgiev
- Haonan Li
- Kirill Chirkunov
- Malik H. Altakrori
- Mausam
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2: EMNLP 2024 ×2
- International Conference on Computational Linguistics (COLING): COLING 2025
- Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
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