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cs.LG2026
cua-speedrun: Standardized Benchmarking of the Speed of Computer-Use Agents
Pranjal Aggarwal, Lawrence Keunho Jang, Sean Welleck +3
Computer use agents (CUAs), which use graphical user interfaces (GUIs) to complete tasks on a computer, have recently surpassed human performance on many standard benchmarks, inclu…
cs.LG2026
Reasoning with Latent Tokens in Diffusion Language Models
Andre He, Sean Welleck, Daniel Fried
Discrete diffusion models have recently become competitive with autoregressive models for language modeling, even outperforming them on reasoning tasks requiring planning and globa…
cs.LG2025
Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening
Andre He, Daniel Fried, Sean Welleck
Reinforcement learning is emerging as a primary driver for improving language model reasoning capabilities. A fundamental question is whether current reinforcement learning algorit…