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Arpita Mallik

Arpita Mallik has 4 papers in our library, in 2025–2026, most of them on Sentiment & emotion, Multilingual & cross-lingual NLP, Semitic languages; often with Hasan Murad, Ratnajit Dhar.

4 papers in our library · 2025–2026

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

📄 4 works in our library · 🔗 Cited 4 times in our library · ⭐ Paper Stars ranking: #10627

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

🎓Chittagong University of Engineering & TechnologyChittagong · Bangladesh2025–2026 · 9 paperscurrent🎓University of Science and Technology ChittagongChittagong · Bangladesh2026 · 1 papercurrent

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.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArtificial Intelligence · 4 worksArts and Humanities · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Sentiment & emotion · 2 worksVision & language · 1 workSemitic languages · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20263 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. NeuralNoodles@CHiPSAL 2026: Late-Fusion Multimodal Stacking for Nepali Meme Sentiment Classification (2026 · 2 citations)
    Meme sentiment comes from how the image and its embedded caption work together. This is hard to model for Nepali, where labelled multimodal data are scarce. The CUET team describes its entry to Subtask B of the CHiPSAL 2026 shared task, which asks for a Negative, Neutral or Positive label for each Nepali…
  2. CUET-823 at SemEval-2026 Task 9: LoRA-Based Instruction Fine-Tuning of LLMs vs. Transformer Models for Bengali Polarization Detection (2026 · 1 citation)
    The authors tackle Subtask 1 of SemEval-2026 Task 9 (POLAR) for Bengali. The goal is to label a social media post as polarized or not. Here polarization covers "us versus them" rhetoric: stereotyping, vilification, dehumanization and intolerance toward other groups or views. They use the official Bengali dataset of…
  3. CUET-823 at MAHED 2025 Shared Task: Large Language Model-Based Framework for Emotion, Offensive, and Hate Detection in Arabic (2025 · 1 citation)
    The paper describes the CUET-823 entry to Subtask-2 of the MAHED 2025 Shared Task. The subtask asks for three labels on short Arabic social media posts, mostly tweets: an emotion from 12 classes, an offensive yes/no decision, and a hate decision that applies only to offensive posts. The authors split the problem into…
  4. Still Loading@DravidianLangTech 2026: Telugu Prompt-Style Recovery using Multilingual Transformers (2026)
    This work addresses Telugu style classification in the Prompt-Style Recovery shared task at DravidianLangTech@ACL 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); 4 citing papers with a page here →.

Updated

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