6 papers
Poker Arena: Multi-Axis Profiling of Strategic Reasoning and Memory in LLMs
Pratham Singla, Shivank Garg, Vihan Singh
Strategic reasoning under uncertainty underpins consequential decisions in negotiation, finance, and policy, but prevailing game-play benchmarks collapse heterogeneous reasoning di…
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…
Adaptive Urban Planning: A Hybrid Framework for Balanced City Development
Pratham Singla, Ayush Singh, Adesh Gupta +1
Urban planning faces a critical challenge in balancing city-wide infrastructure needs with localized demographic preferences, particularly in rapidly developing regions. Although e…
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…
StegaVision: Enhancing Steganography with Attention Mechanism
Abhinav Kumar, Pratham Singla, Aayan Yadav
Image steganography is the technique of embedding secret information within images. The development of deep learning has led to significant advances in this field. However, existin…