Slides
NLKI Presented Poster
Presented at EMNLP 2025, Suzhou, China
Lightweight Natural Language Knowledge Integration Framework for Improving Small VLMs in Commonsense VQA Tasks Poster.
Commonsense Reasoning Under Resource Constrained Environment
Presented at IIT-Kharagpur
Lightweight Knowledge-Enhanced Reasoning For “Small” Vision-Language Models
A Lightweight Natural Language Knowledge Integration Framework for Improving Small VLMs in Commonsense VQA Tasks
Presented at EMNLP 2025, Suzhou, China
Small Models Lack Common Sense
MOE-fying VLM’s Following the path of LLMs with LORA
Presented at IIT-Kharagpur
A parameter-efficient mixture-of-experts method that constructs multiple LoRA based experts and a frozen shared FFN block from a pre-trained dense model.