1 citations · 1 across the 4 of their papers we have counts for
4 papers
LoRA-Mini : Adaptation Matrices Decomposition and Selective Training
Ayush Singh, Rajdeep Aher, Shivank Garg
The rapid advancements in large language models (LLMs) have revolutionized natural language processing, creating an increased need for efficient, task-specific fine-tuning methods.…
Give me a hint: Can LLMs take a hint to solve math problems?
Vansh Agrawal, Pratham Singla, Amitoj Singh Miglani +2
While state-of-the-art LLMs have shown poor logical and basic mathematical reasoning, recent works try to improve their problem-solving abilities using prompting techniques. We pro…
Are VLMs Really Blind
Ayush Singh, Mansi Gupta, Shivank Garg
Vision Language Models excel in handling a wide range of complex tasks, including Optical Character Recognition (OCR), Visual Question Answering (VQA), and advanced geometric reaso…
Motivating Next-Generation OS Physical Memory Management for Terabyte-Scale NVMMs
Shivank Garg, Aravinda Prasad, Debadatta Mishra +1
Software managed byte-addressable hybrid memory systems consisting of DRAMs and NVMMs offer a lot of flexibility to design efficient large scale data processing applications. Opera…