2 papers
cs.CL2025
Beyond QA Pairs: Assessing Parameter-Efficient Fine-Tuning for Fact Embedding in LLMs
Shivam Ratnakar, Abhiroop Talasila, Raghav Chamadiya +2
This paper presents an extensive examination of Parameter-Efficient Fine-Tuning (PEFT) for embedding domain specific facts into Large Language Models (LLMs), focusing on improving…
cs.CV2024
Self-Supervised Modality-Agnostic Pre-Training of Swin Transformers
Abhiroop Talasila, Maitreya Maity, U. Deva Priyakumar
Unsupervised pre-training has emerged as a transformative paradigm, displaying remarkable advancements in various domains. However, the susceptibility to domain shift, where pre-tr…