Kanishk Verma

4 papers · 2022–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) ❓ The Questioner

Venues

COLING (2) EMNLP (1) SemEval (1)

Top co-authors

Brian Davis (4) Tijana Milosevic (3) Joachim Wagner (3) Rebecca Umbach (2) Kolawole Adebayo (1) Alexandrous Poullis (1) Arefeh Kazemi (1) James O’Higgins Norman (1) Kolawole John Adebayo (1) Yelena Cherkasova (1)

Research topics

Artificial Intelligence (4) Machine Learning (4) Natural Language Processing (4) Applications (4) Core AI (4) Learning Types · Machine Learning (3) Deep Learning (2) Application Areas (2) Architectures (1) Core Methods (1) Learning Types · Deep Learning (1) Models (1)

Keywords

cyberbullying detection (3) text classification (3) transformer model (2) explainable ai (1) responsible ai (1) model interpretability (1) multi-class classification (1) benchmark dataset (1) language model (1) sexism detection (1) encoder-only model (1) decoder-only model (1) fine-tuning language model (1) role classification (1) encoder decoder (1) ethical concern (1) transfer learning (1) nlp benchmarking (1) sentiment analysis (1) attention mechanism (1)

Papers

BullyBench: Youth & Experts-in-the-loop Framework for Intrinsic and Extrinsic Cyberbullying NLP Benchmarking EMNLP 2025 Beyond Binary: Towards Embracing Complexities in Cyberbullying Detection and Intervention - a Position Paper COLING 2024 DCU at SemEval-2023 Task 10: A Comparative Analysis of Encoder-only and Decoder-only Language Models with Insights into Interpretability SemEval 2023 Can Attention-based Transformers Explain or Interpret Cyberbullying Detection? COLING 2022