Jyoti Kumari
Jyoti Kumari has 4 papers in our library, in 2026, most of them on Multilingual & cross-lingual NLP, Sentiment & emotion, Reasoning; often with Vinay Babu Ulli, Chandan Kumar R S.
OpenAlex · h-index 0 · 4 works · 0 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 3 times in our library · ⭐ Paper Stars ranking: #10815
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 worksSocial Sciences · 1 workPhilosophy · 1 workPolitical Science and International Relations · 1 workBiochemistry, Genetics and Molecular Biology · 1 workMolecular Biology · 1 work
🧭 Topics 4Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 3 worksReasoning · 1 workBias, fairness & safety · 1 workSentiment & emotion · 1 work
Works by year
2020s
Papers
- PolAR Bears at SemEval-2026 Task 9: Parameter-Efficient Fine-Tuning and Cross-Lingual Augmentation for Multilingual Polarization Detection (2026 · 1 citation)
The authors address online polarization detection in four under-resourced Indian languages (Hindi, Bengali, Telugu and Odia) within SemEval-2026 Task 9. - TeamV at LT-EDI 2026: Multilingual Hate Speech Span Detection and Counter-Narrative Generation via Few-Shot In-Context Learning (2026 · 1 citation)
TeamV took part in the LT-EDI 2026 shared task on homophobic and transphobic social media comments. The task had two parts: finding and labelling hateful spans at the character level in English, Tamil and Hindi, and writing counter-narratives in English and Tamil. The authors did not train language-specific models.… - TypeCoT at UZH Shared Task 2026: Reconstructing Argumentative Structure in UN Resolutions using Type-Informed Chain-of-Thought (2026 · 1 citation)
TypeCoT is a submission to the UZH Shared Task at ArgMining 2026, which targets the implicit argumentative structure of UN and UNESCO resolutions. Participants could only use open-weight models with at most 8B parameters, and the whole pipeline runs on Qwen-2.5-7B-Instruct. - Aurum at CRF Filling 2026: Modular DSPy Extractors with Qwen3-Max for Multilingual CRF Filling (2026)
This paper describes Team Aurum's first-place entry in the Case Report Form (CRF) filling shared task organized at CL4Health @ LREC 2026.
Co-authors here
Venues
- Workshop on Argument Mining: Workshop on Argument Mining 2026
- Workshop on Patient-Oriented Language Processing @ LREC: Workshop on Patient-Oriented Language Processing @ LREC 2026
- Workshop on Language Technology for Equality, Diversity, Inclusion: Workshop on Language Technology for Equality, Diversity, Inclusion 2026
- International Workshop on Semantic Evaluation (SemEval): SemEval 2026
Cited by
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