2 citations · 3 across the 7 of their papers we have counts for
7 papers
Source-Free Controlled Adaptation of Teachers for Continual Test-Time Adaptation
Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma +2
In many real-world scenarios, encountering continual shifts in domain during inference is very common. Consequently, continual test-time adaptation (CTTA) techniques leveraging a t…
ILSIC: Corpora for Identifying Indian Legal Statutes from Queries by Laypeople
Shounak Paul, Raghav Dogra, Pawan Goyal +1
Legal Statute Identification (LSI) for a given situation is one of the most fundamental tasks in Legal NLP. This task has traditionally been modeled using facts from court judgment…
Do LLM hallucination detectors suffer from low-resource effect?
Debtanu Datta, Mohan Kishore Chilukuri, Yash Kumar +2
LLMs, while outperforming humans in a wide range of tasks, can still fail in unanticipated ways. We focus on two pervasive failure modes: (i) hallucinations, where models produce i…
IL-PCSR: Legal Corpus for Prior Case and Statute Retrieval
Shounak Paul, Dhananjay Ghumare, Pawan Goyal +2
Identifying/retrieving relevant statutes and prior cases/precedents for a given legal situation are common tasks exercised by law practitioners. Researchers to date have addressed…
IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning
Abhinav Joshi, Shounak Paul, Akshat Sharma +3
Legal systems worldwide are inundated with exponential growth in cases and documents. There is an imminent need to develop NLP and ML techniques for automatically processing and un…
Convolutional Prompting meets Language Models for Continual Learning
Anurag Roy, Riddhiman Moulick, Vinay K. Verma +2
Continual Learning (CL) enables machine learning models to learn from continuously shifting new training data in absence of data from old tasks. Recently, pretrained vision transfo…