39 citations · 46 across the 7 of their papers we have counts for
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cs.AI2026
Self-Orchestrating Language Models: Leveraging Semantic Dependence for Efficient Inference
Tian Jin
Large language models (LLMs) demonstrate impressive capabilities, but their deployment presents significant efficiency challenges. Autoregressive decoding imposes substantial infer…
cs.AI2025
Planned Diffusion
Daniel Israel, Tian Jin, Ellie Cheng +4
Most large language models are autoregressive: they generate tokens one at a time. Discrete diffusion language models can generate multiple tokens in parallel, but sampling from th…