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Tanmoy Chakraborty

Indian Institute of Technology, Delhi

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Articles (20)

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Collaborators (12)

Julia Maria Struß

Professor of Applied Data Science

Fachhochschule Potsdam Fachbereich Informationswissenschaften

GERMANY

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Isabelle Augenstein

Full Professor

Københavns Universitet

DENMARK

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Dietram Scheufele

Taylor-Bascom Chair, and Vilas Distiguished Achievement Professor

Arizona State University

UNITED STATES

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Vinay Setty

Associate Professor

University of Stavanger

NORWAY

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Preslav Nakov

Professor

Mohamed Bin Zayed University of Artificial Intelligence

UNITED ARAB EMIRATES

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Stefan Dietze

Full Professor

Heinrich Heine University Düsseldorf

GERMANY

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Saravana Kumar

Professor of Allied Health and Health Services Research

University of South Australia

AUSTRALIA

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Priya Martin

University of Southern Queensland

AUSTRALIA

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Giovanni Luca Ciampaglia

Assistant Professor

University of Maryland

UNITED STATES

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Iryna Gurevych

Professor

Technische Universität Darmstadt

GERMANY

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Eduard Hovy

Professor

University of Melbourne

AUSTRALIA

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Roy Ka-Wei Lee

Associate Professor

University of British Columbia Okanagan

CANADA

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Tanmoy Chakraborty

Research Interests

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Articles (20)

Overview of CheckThat! 2026: Advancing Multilingual Fact-Checking

The CLEF-2026 CheckThat! Lab: Advancing Multilingual Fact-Checking

The role of Artificial Intelligence in supporting Healthcare Workers’ Mental Well-being: A scoping review. (Preprint)

FLAME: Self-Supervised Low-Resource Taxonomy Expansion Using Large Language Models

SAFE-MEME: Structured Reasoning Framework for Robust Hate Speech Detection in Memes

coTherapist: A Behavior-Aligned Small Language Model Framework to Support Mental Healthcare Experts

Benchmarking Large Language Models Against Psychiatry Residents Using Traditional Institutional Assessments

Co-Designed Mental Health Screening App (Here for You) for University Students: Pilot Feasibility Mixed Methods Study

Leveraging Rationality Labels for Explainable Claim Check-Worthiness

The promise of generative AI for suicide prevention in India

Towards privacy-aware mental health AI models

Menstrual Health Education Using a Specialized Large Language Model in India: Development and Evaluation Study of MenstLLaMA

Factuality challenges in the era of large language models and opportunities for fact-checking

DPHGNN: A Dual Perspective Hypergraph Neural Networks

The Promethean Dilemma of AI at the Intersection of Hallucination and Creativity

Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: Benchmark Study

Understanding (Dark) Humour with Internet Meme Analysis

Social, economic, and demographic factors drive the emergence of Hinglish code-mixing on social media

A Comprehensive Understanding of Code-Mixed Language Semantics Using Hierarchical Transformer

Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection

Collaborators (12)

Julia Maria Struß

Isabelle Augenstein

Dietram Scheufele

Vinay Setty

Preslav Nakov

Stefan Dietze

Saravana Kumar

Priya Martin

Giovanni Luca Ciampaglia

Iryna Gurevych

Eduard Hovy

Roy Ka-Wei Lee

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