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20242026
most citedCodec-ASR: Training Performant Automatic Speech Recognition Systems with Discrete Speech Representations

7 citations · 7 across the 11 of their papers we have counts for

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astro-ph.IM2026

Optimal Design of Shaped Pupil Lyot Coronagraph for China's Large Segmented Telescope

Kaining Yang, He Sun, Bin B. Ren +7

China's next-generation large telescopes, such as the Expandable Aperture Segmented Telescope (EAST) and the Large Optical/Infrared Telescope (LOT), are being planned as flagship f…

cs.CL2026

Full-duplex Spoken Language Modeling with Discrete Diffusion

Chen Chen, Pin-Jui Ku, Ankita Pasad +3

We introduce Diffuplex, a full-duplex spoken language model based on discrete diffusion that achieves an unprecedented balance between linguistic intelligence and response efficien…

cs.CL2026

Large Language Continuous Diffusion Models

Zhihan Yang, Wei Guo, Jean-Marie Lemercier +14

Despite the success of discrete diffusion language models (dLMs) for fast parallel decoding, their non-smooth, high-dimensional space hinders trajectory steering for reasoning and…

cs.CL2026

Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding

Yonggan Fu, Lexington Whalen, Abhinav Garg +23

We introduce Nemotron-Labs-Diffusion, a tri-mode language model (LM) that unifies AR, diffusion, and self-speculation decoding within a single architecture. Trained with a joint AR…

cs.LG2026

DiLaDiff: Distilled Latent-Augmented Diffusion for Language Modeling

Jean-Marie Lemercier, Tomas Geffner, Karsten Kreis +3

Diffusion language models intrinsically fail to capture correlations between decoded tokens, which leads to a harsh trade-off between sampling quality and throughput. To solve this…