2 citations · 2 across the 11 of their papers we have counts for
11 papers
IndicSafeEval: Safety Robustness of Large Language Models under Multilingual Persuasive Jailbreak Attacks
Saikat Mondal, Mamta, Deeksha Varshney +2
Large language models (LLMs) are increasingly used in multilingual settings, yet their safety is still evaluated primarily in English. This limits our understanding of how alignmen…
Indic-TunedLens: Interpreting Multilingual Models in Indian Languages
Mihir Panchal, Deeksha Varshney, Mamta +1
Multilingual large language models (LLMs) are increasingly deployed in linguistically diverse regions like India, yet most interpretability tools remain tailored to English. Prior…
Protein Secondary Structure Prediction Using 3D Graphs and Relation-Aware Message Passing Transformers
Disha Varshney, Samarth Garg, Sarthak Tyagi +3
In this study, we tackle the challenging task of predicting secondary structures from protein primary sequences, a pivotal initial stride towards predicting tertiary structures, wh…
VideoChain: A Transformer-Based Framework for Multi-hop Video Question Generation
Arpan Phukan, Anupam Pandey, Deepjyoti Bodo +1
Multi-hop Question Generation (QG) effectively evaluates reasoning but remains confined to text; Video Question Generation (VideoQG) is limited to zero-hop questions over single se…
The Quest for Visual Understanding: A Journey Through the Evolution of Visual Question Answering
Anupam Pandey, Deepjyoti Bodo, Arpan Phukan +1
Visual Question Answering (VQA) is an interdisciplinary field that bridges the gap between computer vision (CV) and natural language processing(NLP), enabling Artificial Intelligen…
ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos
Arpan Phukan, Manish Gupta, Asif Ekbal
Previous studies on question generation from videos have mostly focused on generating questions about common objects and attributes and hence are not entity-centric. In this work,…
'Quis custodiet ipsos custodes?' Who will watch the watchmen? On Detecting AI-generated peer-reviews
Sandeep Kumar, Mohit Sahu, Vardhan Gacche +2
The integrity of the peer-review process is vital for maintaining scientific rigor and trust within the academic community. With the steady increase in the usage of large language…
M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thought
Gitanjali Kumari, Kirtan Jain, Asif Ekbal
In recent years, there has been a significant rise in the phenomenon of hate against women on social media platforms, particularly through the use of misogynous memes. These memes…
Overview of Factify5WQA: Fact Verification through 5W Question-Answering
Suryavardan Suresh, Anku Rani, Parth Patwa +6
Researchers have found that fake news spreads much times faster than real news. This is a major problem, especially in today's world where social media is the key source of news fo…
Can Large Language Models Unlock Novel Scientific Research Ideas?
Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal +1
The widespread adoption of Large Language Models (LLMs) and publicly available ChatGPT have marked a significant turning point in the integration of Artificial Intelligence (AI) in…
When Reviewers Lock Horn: Finding Disagreement in Scientific Peer Reviews
Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal
To this date, the efficacy of the scientific publishing enterprise fundamentally rests on the strength of the peer review process. The journal editor or the conference chair primar…