79 citations · 447 across the 119 of their papers we have counts for
8 papers · 1 filter
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 LLMs for Physics Problem-Solving using Reinforcement Learning with Human-AI Feedback
Avinash Anand, Kritarth Prasad, Chhavi Kirtani +6
Large Language Models (LLMs) have demonstrated strong capabilities in text-based tasks but struggle with the complex reasoning required for physics problems, particularly in advanc…
Exploring Graph Neural Networks for Indian Legal Judgment Prediction
Mann Khatri, Mirza Yusuf, Yaman Kumar +2
The burdensome impact of a skewed judges-to-cases ratio on the judicial system manifests in an overwhelming backlog of pending cases alongside an ongoing influx of new ones. To tac…
On Comparing Fair Classifiers under Data Bias
Mohit Sharma, Amit Deshpande, Rajiv Ratn Shah
In this paper, we consider a theoretical model for injecting data bias, namely, under-representation and label bias (Blum & Stangl, 2019). We empirically study the effect of varyin…
COBRA: Contrastive Bi-Modal Representation Algorithm
Vishaal Udandarao, Abhishek Maiti, Deepak Srivatsav +3
There are a wide range of applications that involve multi-modal data, such as cross-modal retrieval, visual question-answering, and image captioning. Such applications are primaril…
Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions
Osaid Rehman Nasir, Shailesh Kumar Jha, Manraj Singh Grover +3
Powerful generative adversarial networks (GAN) have been developed to automatically synthesize realistic images from text. However, most existing tasks are limited to generating si…
Learning based Methods for Code Runtime Complexity Prediction
Jagriti Sikka, Kushal Satya, Yaman Kumar +3
Predicting the runtime complexity of a programming code is an arduous task. In fact, even for humans, it requires a subtle analysis and comprehensive knowledge of algorithms to pre…
Harnessing GANs for Zero-shot Learning of New Classes in Visual Speech Recognition
Yaman Kumar, Dhruva Sahrawat, Shubham Maheshwari +5
Visual Speech Recognition (VSR) is the process of recognizing or interpreting speech by watching the lip movements of the speaker. Recent machine learning based approaches model VS…