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cs.CL2026
TIDE: Efficient and Lossless MoE Diffusion LLM Inference with I/O-aware Expert Offload
Zhiben Chen, Youpeng Zhao, Yang Sui +2
Diffusion Large Language Models (dLLMs) have emerged as a competitive alternative to autoregressive (AR) models, offering better hardware utilization and bidirectional context thro…
cs.CL2026
Good Agentic Friends Do Not Just Give Verbal Advice: They Can Update Your Weights
Wenrui Bao, Huan Wang, Jian Wang +3
Multi-agent LLM systems usually collaborate by exchanging natural-language messages. This interface is simple and interpretable, but it forces each sender's intermediate computatio…
cs.CL2025
Learning to Parallel: Accelerating Diffusion Large Language Models via Learnable Parallel Decoding
Wenrui Bao, Zhiben Chen, Dan Xu +1
Autoregressive decoding in large language models (LLMs) requires sequential steps for tokens, fundamentally limiting inference throughput. Recent diffusion-bas…