4 papers
Do GFlowNets Transfer? Case Study on the Game of 24/42
Adesh Gupta, Abhinav Kumar, Mansi Gupta +1
Generating diverse solutions is key to human-like reasoning, yet autoregressive language models focus on single accurate responses, limiting creativity. GFlowNets optimize solution…
Pruning as a Defense: Reducing Memorization in Large Language Models
Mansi Gupta, Nikhar Waghela, Sarthak Gupta +2
Large language models have been shown to memorize significant portions of their training data, which they can reproduce when appropriately prompted. This work investigates the impa…
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…
Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning
Ayush Singh, Mansi Gupta, Shivank Garg +2
Vision-Language Models (VLMs) have transformed tasks requiring visual and reasoning abilities, such as image retrieval and Visual Question Answering (VQA). Despite their success, V…