3 papers
cs.CY2026
Human--LLM Collaboration Is Transforming Complexity Metrics in Scientific Texts
R. Alexander Bentley, Blai Vidiella, Damian J. Ruck +3
While human language has long been studied as a complex system, Large Language Models (LLMs) are rapidly becoming contributors to its dynamics. Because LLMs are trained on human la…
cs.CR2025
Ocassionally Secure: A Comparative Analysis of Code Generation Assistants
Ran Elgedawy, Porter Dosch, John Sadik +8
Large Language Models (LLMs) are being increasingly utilized in various applications, with code generations being a notable example. While previous research has shown that LLMs…
cs.LG2024
Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation
Katherine M. Collins, Najoung Kim, Yonatan Bitton +15
Human feedback plays a critical role in learning and refining reward models for text-to-image generation, but the optimal form the feedback should take for learning an accurate rew…