1 citations · 2 across the 15 of their papers we have counts for
17 papers
From Images to Words: Efficient Cross-Modal Knowledge Distillation to Language Models from Black-box Teachers
Ayan Sengupta, Shantanu Dixit, Md Shad Akhtar +1
Knowledge distillation (KD) methods are pivotal in compressing large pre-trained language models into smaller models, ensuring computational efficiency without significantly droppi…
HateMirage: An Explainable Multi-Dimensional Dataset for Decoding Faux Hate and Subtle Online Abuse
Sai Kartheek Reddy Kasu, Shankar Biradar, Sunil Saumya +1
Subtle and indirect hate speech remains an underexplored challenge in online safety research, particularly when harmful intent is embedded within misleading or manipulative narrati…
Redefining Experts: Interpretable Decomposition of Language Models for Toxicity Mitigation
Zuhair Hasan Shaik, Abdullah Mazhar, Aseem Srivastava +1
Large Language Models have demonstrated impressive fluency across diverse tasks, yet their tendency to produce toxic content remains a critical challenge for AI safety and public t…
Assess and Prompt: A Generative RL Framework for Improving Engagement in Online Mental Health Communities
Bhagesh Gaur, Karan Gupta, Aseem Srivastava +2
Online Mental Health Communities (OMHCs) provide crucial peer and expert support, yet many posts remain unanswered due to missing support attributes that signal the need for help.…
Sentiment-guided Commonsense-aware Response Generation for Mental Health Counseling
Aseem Srivastava, Gauri Naik, Alison Cerezo +2
The crisis of mental health issues is escalating. Effective counseling serves as a critical lifeline for individuals suffering from conditions like PTSD, stress, etc. Therapists fo…
Trust Modeling in Counseling Conversations: A Benchmark Study
Aseem Srivastava, Zuhair Hasan Shaik, Tanmoy Chakraborty +1
In mental health counseling, a variety of earlier studies have focused on dialogue modeling. However, most of these studies give limited to no emphasis on the quality of interactio…
QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs
Mohammad Aflah Khan, Neemesh Yadav, Sarah Masud +1
The rise of large language models (LLMs) has created a need for advanced benchmarking systems beyond traditional setups. To this end, we introduce QUENCH, a novel text-based Englis…
Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization
Aseem Srivastava, Smriti Joshi, Tanmoy Chakraborty +1
In mental health counseling, condensing dialogues into concise and relevant summaries (aka counseling notes) holds pivotal significance. Large Language Models (LLMs) exhibit remark…
Crowd Intelligence for Early Misinformation Prediction on Social Media
Megha Sundriyal, Harshit Choudhary, Tanmoy Chakraborty +1
Misinformation spreads rapidly on social media, causing serious damage by influencing public opinion, promoting dangerous behavior, or eroding trust in reliable sources. It spreads…
Tox-BART: Leveraging Toxicity Attributes for Explanation Generation of Implicit Hate Speech
Neemesh Yadav, Sarah Masud, Vikram Goyal +2
Employing language models to generate explanations for an incoming implicit hate post is an active area of research. The explanation is intended to make explicit the underlying ste…
Emotion-Aware Multimodal Fusion for Meme Emotion Detection
Shivam Sharma, Ramaneswaran S, Md. Shad Akhtar +1
The ever-evolving social media discourse has witnessed an overwhelming use of memes to express opinions or dissent. Besides being misused for spreading malcontent, they are mined b…
SemEval 2024 -- Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF)
Shivani Kumar, Md Shad Akhtar, Erik Cambria +1
We present SemEval-2024 Task 10, a shared task centred on identifying emotions and finding the rationale behind their flips within monolingual English and Hindi-English code-mixed…
Probing Critical Learning Dynamics of PLMs for Hate Speech Detection
Sarah Masud, Mohammad Aflah Khan, Vikram Goyal +2
Despite the widespread adoption, there is a lack of research into how various critical aspects of pretrained language models (PLMs) affect their performance in hate speech detectio…
Overview of the HASOC Subtrack at FIRE 2023: Identification of Tokens Contributing to Explicit Hate in English by Span Detection
Sarah Masud, Mohammad Aflah Khan, Md. Shad Akhtar +1
As hate speech continues to proliferate on the web, it is becoming increasingly important to develop computational methods to mitigate it. Reactively, using black-box models to ide…
Overview of the CLAIMSCAN-2023: Uncovering Truth in Social Media through Claim Detection and Identification of Claim Spans
Megha Sundriyal, Md Shad Akhtar, Tanmoy Chakraborty
A significant increase in content creation and information exchange has been made possible by the quick development of online social media platforms, which has been very advantageo…
Manifold-Preserving Transformers are Effective for Short-Long Range Encoding
Ayan Sengupta, Md Shad Akhtar, Tanmoy Chakraborty
Multi-head self-attention-based Transformers have shown promise in different learning tasks. Albeit these models exhibit significant improvement in understanding short-term and lon…
From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues
Shivani Kumar, Ramaneswaran S, Md Shad Akhtar +1
Understanding emotions during conversation is a fundamental aspect of human communication, driving NLP research for Emotion Recognition in Conversation (ERC). While considerable re…