79 citations · 447 across the 119 of their papers we have counts for
9 papers · 1 filter
Structured Definitions and Segmentations for Legal Reasoning in LLMs: A Study on Indian Legal Data
Mann Khatri, Mirza Yusuf, Rajiv Ratn Shah +1
Large Language Models (LLMs), trained on extensive datasets from the web, exhibit remarkable general reasoning skills. Despite this, they often struggle in specialized areas like l…
Detecting LLM-Assisted Academic Dishonesty using Keystroke Dynamics
Atharva Mehta, Rajesh Kumar, Aman Singla +3
The rapid adoption of generative AI tools has heightened concerns regarding academic integrity, as students increasingly engage in dishonest practices by copying or paraphrasing AI…
On Optimal Steering to Achieve Exact Fairness
Mohit Sharma, Amit Jayant Deshpande, Chiranjib Bhattacharyya +1
To fix the 'bias in, bias out' problem in fair machine learning, it is important to steer feature distributions of data or internal representations of Large Language Models (LLMs)…
Enhancing Scientific Visual Question Answering via Vision-Caption aware Supervised Fine-Tuning
Janak Kapuriya, Anwar Shaikh, Arnav Goel +8
In this study, we introduce Vision-Caption aware Supervised FineTuning (VCASFT), a novel learning paradigm designed to enhance the performance of smaller Vision Language Models(VLM…
Spiritual-LLM : Gita Inspired Mental Health Therapy In the Era of LLMs
Janak Kapuriya, Aman Singh, Jainendra Shukla +1
Traditional mental health support systems often generate responses based solely on the user's current emotion and situations, resulting in superficial interventions that fail to ad…
REWIND: Speech Time Reversal for Enhancing Speaker Representations in Diffusion-based Voice Conversion
Ishan D. Biyani, Nirmesh J. Shah, Ashishkumar P. Gudmalwar +2
Speech time reversal refers to the process of reversing the entire speech signal in time, causing it to play backward. Such signals are completely unintelligible since the fundamen…
Med-CoDE: Medical Critique based Disagreement Evaluation Framework
Mohit Gupta, Akiko Aizawa, Rajiv Ratn Shah
The emergence of large language models (LLMs) has significantly influenced numerous fields, including healthcare, by enhancing the capabilities of automated systems to process and…
Long-context Non-factoid Question Answering in Indic Languages
Ritwik Mishra, Rajiv Ratn Shah, Ponnurangam Kumaraguru
Question Answering (QA) tasks, which involve extracting answers from a given context, are relatively straightforward for modern Large Language Models (LLMs) when the context is sho…
Visual and Text Prompt Segmentation: A Novel Multi-Model Framework for Remote Sensing
Xing Zi, Kairui Jin, Xian Tao +4
Pixel-level segmentation is essential in remote sensing, where foundational vision models like CLIP and Segment Anything Model(SAM) have demonstrated significant capabilities in ze…