1 citations · 1 across the 10 of their papers we have counts for
13 papers
Translation Circuit Discovery and Targeted Optimization for Low-Resource Multilingual Translation
Atai Waris Khan, Abdullah Mazhar, Raghu Kumar +1
Recent multilingual large language models achieve strong translation performance, yet the internal mechanisms responsible for low-resource multilingual translation remain insuffici…
Reasoning for Propaganda Detection via Label-Guided CoT Optimisation
Zeba Afroz, Harsh Vardhan, Md. Shad Akhtar
Propaganda detection systems usually operate as black boxes, lacking explanations. To address this, we hypothesise that persuasive techniques contain definitional characteristics w…
Controlled Attribute-Specific Summarization of Interrogative Dialogues
A Aditya Bhardwaj, Arjit Singh Arora, Md Shad Akhtar
Effective summarization of interrogative dialogues is a critical task in forensic and investigative settings, requiring high factual accuracy, coherence, and attribute-specific rel…
Measuring What Matters!! Assessing Therapeutic Principles in Mental-Health Conversation
Abdullah Mazhar, Het Riteshkumar Shah, Aseem Srivastava +2
The increasing use of large language models in mental health applications calls for principled evaluation frameworks that assess alignment with psychotherapeutic best practices bey…
MAMA-Memeia! Multi-Aspect Multi-Agent Collaboration for Depressive Symptoms Identification in Memes
Siddhant Agarwal, Adya Dhuler, Polly Ruhnke +3
Over the past years, memes have evolved from being exclusively a medium of humorous exchanges to one that allows users to express a range of emotions freely and easily. With the ev…
Fine-grained Narrative Classification in Biased News Articles
Zeba Afroz, Harsh Vardhan, Pawan Bhakuni +3
Narratives are the cognitive and emotional scaffolds of propaganda. They organize isolated persuasive techniques into coherent stories that justify actions, attribute blame, and ev…
PERCS: Persona-Guided Controllable Biomedical Summarization Dataset
Rohan Charudatt Salvi, Chirag Chawla, Dhruv Jain +3
Automatic medical text simplification plays a key role in improving health literacy by making complex biomedical research accessible to diverse readers. However, most existing reso…
Target-Augmented Shared Fusion-based Multimodal Sarcasm Explanation Generation
Palaash Goel, Dushyant Singh Chauhan, Md Shad Akhtar
Sarcasm is a linguistic phenomenon that intends to ridicule a target (e.g., entity, event, or person) in an inherent way. Multimodal Sarcasm Explanation (MuSE) aims at revealing th…
Incongruence Identification in Eyewitness Testimony
Akshara Nair, Zeba Afroz, Md Shad Akhtar
Incongruence detection in eyewitness narratives is critical for understanding the reliability of testimonies, yet traditional approaches often fail to address the nuanced inconsist…
Figurative-cum-Commonsense Knowledge Infusion for Multimodal Mental Health Meme Classification
Abdullah Mazhar, Zuhair hasan shaik, Aseem Srivastava +5
The expression of mental health symptoms through non-traditional means, such as memes, has gained remarkable attention over the past few years, with users often highlighting their…
No perspective, no perception!! Perspective-aware Healthcare Answer Summarization
Gauri Naik, Sharad Chandakacherla, Shweta Yadav +1
Healthcare Community Question Answering (CQA) forums offer an accessible platform for individuals seeking information on various healthcare-related topics. People find such platfor…
Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF
Amey Hengle, Aswini Kumar, Sahajpreet Singh +3
Counterspeech, defined as a response to mitigate online hate speech, is increasingly used as a non-censorial solution. Addressing hate speech effectively involves dispelling the st…
EROS: Entity-Driven Controlled Policy Document Summarization
Joykirat Singh, Sehban Fazili, Rohan Jain +1
Privacy policy documents have a crucial role in educating individuals about the collection, usage, and protection of users' personal data by organizations. However, they are notori…