2 papers
cs.DC2026
WeEnv: The Environment for Agentic Reinforcement Learning at WeChat
Yang Yu, Jing Lei, Shaoxun Zeng +4
Agentic reinforcement learning (RL) differs from conventional RL in that every task executes inside a complex environment, e.g., a virtual machine or a container. We find that agen…
cs.CL2025
WeDLM: Reconciling Diffusion Language Models with Standard Causal Attention for Fast Inference
Aiwei Liu, Minghua He, Shaoxun Zeng +7
Autoregressive (AR) generation is the standard decoding paradigm for Large Language Models (LLMs), but its token-by-token nature limits parallelism at inference time. Diffusion Lan…