reading

• Paper August 20, 2026

  Towards More Flexible and Efficient Non-Autoregressive Language Models

  Speakers: Dhruvesh Patel , Benjamin Rozonoyer

  diffusion discrete-diffusion masked-diffusion non-autoregressive

  Insertion Based Sequence Generation with Learnable Order Dynamics — Patel et al.

  Learned Relay Representations for Forward-Thinking Discrete Diffusion Models — Rozonoyer et al.

  A joint IESL talk on learnable insertion-order dynamics and relayed latent computation for non-autoregressive language models.

• Overview July 17, 2026

  Continuous Diffusion for Text

  Coordinators: Dhruvesh Patel , Benjamin Rozonoyer

  diffusion continuous-diffusion foundations

  • Continuous Diffusion for Categorical Data — Dieleman et al.
  • SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control — Han et al.
  • CANDI: Hybrid Discrete-Continuous Diffusion Models — Pynadath et al.
  • The Diffusion Duality — Sahoo et al.
  • Continuously Augmented Discrete Diffusion Model for Categorical Generative Modeling — Zheng et al.
  • ELF: Embedded Language Flows — Hu et al.
  • Self-conditioned Flow Map Language Models via Fixed-point Flows — Yoo et al.

  A survey of continuous, hybrid, and flow-based diffusion models for text and categorical sequence generation.

• Overview June 25, 2026

  Recursive Reasoning

  Coordinators: Benjamin Rozonoyer

  recursive-reasoning reasoning diffusion

  • Hierarchical Reasoning Model — Wang et al.
  • Less is More: Recursive Reasoning with Tiny Networks — Jolicoeur-Martineau
  • Probabilistic Tiny Recursive Model — Sghaier et al.
  • Generative Recursive Reasoning — Baek et al.
  • Learned Relay Representations for Forward-Thinking Discrete Diffusion Models — Rozonoyer et al.
  • Residual Context Diffusion Language Models — Hu et al.
  • VGB for Masked Diffusion Model: Efficient Test-time Scaling for Reward Satisfaction and Sample Editing — Jeon et al.
  • Backpropagation through space, time and the brain — Ellenberger et al.

  Tiny recursive reasoning models and related diffusion extensions for iterative computation.

• Overview June 17, 2026

  Speculative Decoding

  Coordinators: Benjamin Rozonoyer

  speculative-decoding inference systems

  • Fast Inference from Transformers via Speculative Decoding — Leviathan et al.
  • Accelerating Large Language Model Decoding with Speculative Sampling — Chen et al.
  • Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads — Cai et al.
  • EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty — Li et al.
  • EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees — Li et al.
  • EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test — Li et al.
  • Cascade Speculative Drafting for Even Faster LLM Inference — Chen et al.
  • Break the Sequential Dependency of LLM Inference Using Lookahead Decoding — Fu et al.
  • Speculative Speculative Decoding — Kumar et al.
  • DFlash: Block Diffusion for Flash Speculative Decoding — Chen et al.

  A tour of speculative and draft-based methods for faster autoregressive LLM inference.

• Overview June 12, 2026

  Block Diffusion

  Coordinators: Benjamin Rozonoyer

  diffusion block-diffusion systems

  • SDAR: A Synergistic Diffusion-AutoRegression Paradigm for Scalable Sequence Generation — Cheng et al.
  • TiDAR: Think in Diffusion, Talk in Autoregression — Liu et al.
  • Introspective Diffusion Language Models — Yu et al.
  • Fast-dLLM v2: Efficient Block-Diffusion LLM — Wu et al.
  • DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation — Shing et al.

  Systems-level papers on block-wise and hybrid diffusion–autoregressive sequence generation.

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