activity
20122026
most citedOn the Opportunities and Risks of Foundation Models

2.3k citations · 13.8k across the 307 of their papers we have counts for

collaborators

319 papers

astro-ph.IM2026

Optimal Design of Shaped Pupil Lyot Coronagraph for China's Large Segmented Telescope

Kaining Yang, He Sun, Bin B. Ren +7

China's next-generation large telescopes, such as the Expandable Aperture Segmented Telescope (EAST) and the Large Optical/Infrared Telescope (LOT), are being planned as flagship f…

cs.AI2026

One-Sided Verification Under Limited Expert Review

Fan Nie, Haotian Ye, Shurui Liu +3

AI has become increasingly helpful in scientific discovery, yet human expert review remains essential for those problems without reliable automated evaluation, posing a fundamental…

cs.LG2026

Constrained Decoding for Diffusion Language Models via Efficient Inference over Finite Automata

Meihua Dang, Stefano Ermon

Constrained decoding is essential for serving LLMs, ensuring that generated outputs follow specific structures such as JSON schema-formatted function calls. Existing systems are de…

cs.CL2026

Diffusion Language Model Parallel Decoding via Product-of-Experts Bridge

Juntong Shi, Brian L. Trippe, Jure Leskovec +2

Diffusion language models (DLMs) offer substantial speed advantages through parallel decoding, but the lack of token dependencies limits generation quality compared to autoregressi…

cs.CL2026

Mitigating Bias in Locally Constrained Decoding via Tractable Proposals

Meihua Dang, Linxin Song, Honghua Zhang +3

Generations from large language models often fail to conform to desired constraints such as JSON schema. Existing locally constrained decoding (LCD) approaches enforce constraints…

cs.LG2026

One-Step Generative Modeling via Wasserstein Gradient Flows

Jiaqi Han, Puheng Li, Qiushan Guo +3

Diffusion models and flow-based methods have shown impressive generative capability, especially for images, but their sampling is expensive because it requires many iterative updat…