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cs.LG2026
CAT-Flow: Curvature-Adaptive sTeps for Flow Matching
Qinchan Li, Pedro Cisneros-Velarde, Keru Fu +3
Flow Matching has emerged as a leading framework for generative modeling, powering state-of-the-art systems such as FLUX and Stable Diffusion 3.5. However, the iterative nature of…
cs.CL2026
Policy Compliance of User Requests in Natural Language for AI Systems
Pedro Cisneros-Velarde
Consider an organization whose users send requests in natural language to an AI system that fulfills them by carrying out specific tasks. In this paper, we consider the problem of…
cs.CL2026
Can One-sided Arguments Lead to Response Change in Large Language Models?
Pedro Cisneros-Velarde
Polemic questions need more than one viewpoint to express a balanced answer. Large Language Models (LLMs) can provide a balanced answer, but also take a single aligned viewpoint or…