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Vinay Babu Ulli

Vinay Babu Ulli has 5 papers in our library, in 2026, most of them on Multilingual & cross-lingual NLP, Sentiment & emotion, Reasoning; often with Jyoti Kumari, Chandan Kumar R S.

5 papers in our library · 2026

OpenAlex · h-index 0 · 11 works · 0 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 4 times in our library · ⭐ Paper Stars ranking: #10626

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

 Fields, topics and concepts

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

📚 Shelves 11The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksComputer Science · 5 worksArtificial Intelligence · 5 worksLanguage and Linguistics · 5 worksSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 workInformation Systems · 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

20265 papers

 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. Team CV at SemEval-2026 Task 4: Prompting LLMs and Benchmarking Embedding Models for Narrative Story Similarity (2026 · 1 citation)
    Team CV took part in both tracks of SemEval-2026 Task 4. The task asks systems to judge how similar short Wikipedia plot summaries from the Tell-Me-Again Corpus are as narratives, based on theme, event course and outcomes rather than names or settings. In Track A, a system sees an anchor and two candidate stories and…
  3. 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.…
  4. 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.
  5. 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 4 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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