Publications (69)
iSign: A Benchmark for Indian Sign Language Processing
Abhinav Joshi, Romit Mohanty, Mounika Kanakanti +4
Indian Sign Language has limited resources for developing machine learning and data-driven approaches for automated language processing. Though text/audio-based language processing…
Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models
Divyaksh Shukla, Ashutosh Modi
Machine unlearning aims to remove the influence of specific training data from a model while preserving reliable behavior on the remaining data, making reliable prediction and unce…
BreakingBERT@IITK at SemEval-2021 Task 9 : Statement Verification and Evidence Finding with Tables
Aditya Jindal, Ankur Gupta, Jaya Srivastava +4
Recently, there has been an interest in factual verification and prediction over structured data like tables and graphs. To circumvent any false news incident, it is necessary to n…
Geometry of Decision Making in Language Models
Abhinav Joshi, Divyanshu Bhatt, Ashutosh Modi
Large Language Models (LLMs) show strong generalization across diverse tasks, yet the internal decision-making processes behind their predictions remain opaque. In this work, we st…
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments
Abhinav Joshi, Naman Gupta, Jinang Shah +3
A real-world application or setting involves interaction between different modalities (e.g., video, speech, text). In order to process the multimodal information automatically and…
LoRMA: Low-Rank Multiplicative Adaptation for LLMs
Harsh Bihany, Shubham Patel, Ashutosh Modi
Large Language Models have shown remarkable capabilities in the NLP domain. Their effectiveness can mainly be attributed to their ability to adapt to an array of downstream tasks.…