3 papers
cs.CL2026
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…
cs.CV2025
Progressive Prompt Detailing for Improved Alignment in Text-to-Image Generative Models
Ketan Suhaas Saichandran, Xavier Thomas, Prakhar Kaushik +1
Text-to-image generative models often struggle with long prompts detailing complex scenes, diverse objects with distinct visual characteristics and spatial relationships. In this w…
cs.CY2025
Kernels of Selfhood: GPT-4o shows humanlike patterns of cognitive consistency moderated by free choice
Steven A. Lehr, Ketan S. Saichandran, Eddie Harmon-Jones +2
Large Language Models (LLMs) show emergent patterns that mimic human cognition. We explore whether they also mirror other, less deliberative human psychological processes. Drawing…