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arXiv:2603.06729v1 Announce Type: new Abstract: Navigating safely through dense crowds requires collision avoidance that generalizes beyond the densities seen during training. Learning-based crowd navigation can …
arXiv:2603.06738v1 Announce Type: new Abstract: Recent Super-Resolution~(SR) methods mainly adopt Transformers for their strong long-range modeling capability and exceptional representational capacity. However, most SR Transformers …
arXiv:2603.06741v1 Announce Type: new Abstract: Training frontier-scale diffusion models often requires substantial computational resources concentrated in tightly coupled clusters, limiting participation to well-resourced institutions. While …
arXiv:2603.06742v1 Announce Type: new Abstract: Constrained generative modeling is fundamental to applications such as robotic control and autonomous driving, where models must respect physical laws …
arXiv:2603.06743v1 Announce Type: new Abstract: Group Relative Policy Optimization (GRPO) is highly effective for post-training autoregressive (AR) language models, yet its direct application to diffusion …
arXiv:2603.06745v1 Announce Type: new Abstract: Large Language Models (LLMs), despite advances in instruction tuning, often fail to follow complex user instructions. Activation steering techniques aim …
arXiv:2603.06748v1 Announce Type: new Abstract: Protein sequence design must balance designability, defined as the ability to recover a target backbone, with multiple, often competing, developability …
arXiv:2603.06752v1 Announce Type: new Abstract: The ensemble Kalman filter (EnKF) is widely used for data assimilation in high-dimensional systems, but its performance often deteriorates for …
Updated on March 9 at 5:14 p.m. The Supreme Court added just one case – a technical dispute over the interaction between two federal environmental …
Immigration Matters is a recurring series by César Cuauhtémoc García Hernández that analyzes the court’s immigration docket, highlighting emerging legal questions about new policy and …
In Dissent is a recurring series by Anastasia Boden on Supreme Court dissents that have shaped (or reshaped) our country. The Olympics are one of …
Just 22% of U.S. registered voters have “a great deal” (7%) or “quite a bit” (15%) of confidence in the Supreme Court, according to a …