2 citations · 2 across the 6 of their papers we have counts for
3 papers · 1 filter
Do Vision-Language Models See or Guess? Measuring and Reducing Textual-Prior Reliance with a Phrasing-Controlled Benchmark
Pratham Singla, Shivank Garg, Vihan Singh +1
Vision-language models (VLMs) are increasingly deployed where answers must follow from what is in the image, yet they often answer from textual priors, the question's phrasing toge…
Thinking About Thinking: Evaluating Reasoning in Post-Trained Language Models
Pratham Singla, Shivank Garg, Ayush Singh +2
Recent advances in post-training techniques have endowed Large Language Models (LLMs) with enhanced capabilities for tackling complex, logic-intensive tasks through the generation…
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…