MLSys 2027 opens call for papers spanning LLM training, inference and agentic systems
songhan_mit · x · 2026-09-23
Song Han (MIT) announced he is serving as Program Co-Chair of MLSys 2027 alongside Rashmi Vinayak, with the call for papers now open.
- Scope: efficient training/inference/serving, LLM training and fine-tuning, large-scale RL for LLMs, autonomous and agentic AI systems, multimodal AI, distributed learning, ML compilers and runtimes, specialized hardware, ML security and privacy, and more.
- Industrial track: solicits design and implementation write-ups of large-scale ML systems in industry, aimed at bridging academia and real-world practice.
- Papers are judged on novelty, quality, interest, and impact.
Related event: MLSys 2027 Opens Submissions with Song Han as Co-PC-Chair(3 posts)→
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