Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning. - Haokun Liu; Derek Tam; Mohammed Muqeeth; Jay Mohta; Tenghao Huang; Mohit Bansal; Colin Raffel (NeurIPS, 2022)

Are large language models good annotators? - Jay Mohta; Kenan E. Ak; Yan Xu; Mingwei Shen 001 (ICBINB, 2023)

Prompting language models improves performance in imbalanced setting. - Jay Mohta (SustaiNLP, 2023)

Aligning Vision Language Models with Contrastive Learning. - Kenan E. Ak; Jay Mohta; Dimitris Dimitriadis; Saurav Manchanda; Yan Xu; Mingwei Shen 001 (ECCV Workshops (18), 2024)