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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.

4 papers in our library · 2026

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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.…
  3. 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.
  4. 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

2 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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