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Workshop Fri, Oct 9, 2026 • 8:30 AM – 6:00 PM PDT Union Square 22 / Fourth Floor

Non-Autoregressive Language Models for Fast and Flexible Text Generation

Fred Peng ⋅ Marianne Arriola ⋅ Jaeyeon Kim ⋅ Siyan Zhao ⋅ Alexander Tong ⋅ Arnaud Doucet ⋅ Brendan O’Donoghue ⋅ Yuxuan Song
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Abstract

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Schedule

Time zone: Conference local time zone
CoBit: Language Modeling with Bitstream Diffusion
Georgios Batzolis ⋅ Mark Girolami ⋅ Luca Ambrogioni
Quantifying and Optimizing Path Uncertainty in Masked Diffusion Models
Ziyu Chen ⋅ Xinbei Jiang ⋅ Peng Sun ⋅ Tao Lin
Interpreting Diffusion Language Models Over Denoising Time
Jingcheng Yang ⋅ Shangtong Wu ⋅ Yifan Kang ⋅ Tianhu Xiong ⋅ Mingyuan Wu ⋅ Haozhen Zheng ⋅ Alex Schwing ⋅ Klara Nahrstedt
SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing
Ruikang Zhao ⋅ Zhenting Wang ⋅ Han Gao ⋅ Ligong Han
Plan, Verify and Fill: A Structured Parallel Decoding Approach for Diffusion Language Models
Miao Li ⋅ Hanyang Jiang ⋅ Sikai Cheng ⋅ Hengyu Fu ⋅ Yuhang Cai ⋅ Baihe Huang ⋅ Zhongzhu Chen ⋅ Tinghan Ye ⋅ Xuanzhou Chen ⋅ Pascal Van Hentenryck
Self-Conditioned Flow Map Language Models via Fixed-Point Flows
Jaehoon Yoo ⋅ Wonjung Kim ⋅ Floor Eijkelboom ⋅ Chanhyuk Lee ⋅ Nicholas M Boffi ⋅ Seunghoon Hong ⋅ Jinwoo Kim
Posterior Refinement: Fast Language Generation via Any-Order Flow Maps
Manan Agarwal ⋅ Sheel Shah ⋅ Chanhyuk Lee ⋅ Jaehoon Yoo ⋅ Jerry Y Huang ⋅ Seunghoon Hong ⋅ Aditi Raghunathan ⋅ Jinwoo Kim ⋅ Nicholas M Boffi
Training Hybrid Block Diffusion Language Models with Partial Bidirectionality
Pranshu Chaturvedi ⋅ Parth Shroff ⋅ Tarun Suresh ⋅ Hangoo Kang ⋅ Kaiyue Wen
Sampling-Free Context Distillation for Masked Diffusion Large Language Models
Siyan Zhao ⋅ Evan Li ⋅ Pranav Basnet ⋅ Zhaobin Mo ⋅ Ahmadreza Moradipari ⋅ Aditya Grover
Evaluating Diffusion Language Models Beyond Benchmarks: User Perception of Generation Dynamics
Benjamin Li ⋅ Henry Deng ⋅ Harihar Vadrevu ⋅ Erick Zhao ⋅ Aidan Mokalla
Retrofitting Linear Attention into Diffusion Language Models
Jinha Kim ⋅ Younghun Roh ⋅ Jaeyeon Kim
Continuous Diffusion Scales Competitively with Discrete Diffusion for Language
Zhihan Yang ⋅ Wei Guo ⋅ Shuibai Zhang ⋅ Subham S Sahoo ⋅ Yongxin Chen ⋅ Arash Vahdat ⋅ Morteza Mardani ⋅ John Thickstun
Continuous Diffusion Scales Competitively with Discrete Diffusion for Language
Zhihan Yang ⋅ Wei Guo ⋅ Shuibai Zhang ⋅ Subham S Sahoo ⋅ Yongxin Chen ⋅ Arash Vahdat ⋅ Morteza Mardani ⋅ John Thickstun
Scaling Test-Time Compute for DLLMs via Parallel Search
Saarth Gaonkar ⋅ Sebastian Zhao ⋅ Minjae Lee ⋅ Coleman R Hooper ⋅ Wonjun Kang ⋅ Michael W Mahoney ⋅ Kurt Keutzer ⋅ Chenfeng Xu ⋅ Amir Gholami
Flow Map Language Models: One-step Language Modeling via Continuous Denoising
Chanhyuk Lee ⋅ Jaehoon Yoo ⋅ Manan Agarwal ⋅ Sheel Shah ⋅ Jerry Y Huang ⋅ Aditi Raghunathan ⋅ Seunghoon Hong ⋅ Nicholas M Boffi ⋅ Jinwoo Kim
FLARE: Diffusion for Hybrid Language Model
Yuchen Zhu ⋅ Jing Shi ⋅ Chongjian GE ⋅ Hao Tan ⋅ Yiran Xu ⋅ Wanrong Zhu ⋅ Jason Kuen ⋅ Koustava Goswami ⋅ Rajiv Jain ⋅ Yongxin Chen ⋅ Molei Tao ⋅ Jiuxiang Gu
InsNeXt: Scalable Pre-training of Efficient Insertion-based Diffusion Language Models
Sidi Lu ⋅ Jacky Dai ⋅ Xuezhe (Max) Ma ⋅ Nanyun (Violet) Peng
Latent Linguistic Relations During Diffusion Language Model Denoising
Sai Raghuram Jandhyam ⋅ Ryan Dhalbisoi ⋅ Jennifer Seok ⋅ Justice Sefas
Lost in Interpolation: Why Predictive Feedback Fails in Diffusion Language Models
Aryan Sood ⋅ Ishaan Bansal ⋅ Lavanya Nigam ⋅ Vidit Aggarwal
Entropy Aware Reward Guidance for Diffusion Language Model Alignment
Atula Tejaswi ⋅ Litu Rout ⋅ Constantine Caramanis ⋅ Sanjay Shakkottai ⋅ Sujay Sanghavi
In-Context Anchor Guidance: Mitigating Temporal Attention Dilution in Masked Diffusion Language Models
Hiếu Phí ⋅ Masaki Asada ⋅ Makoto Miwa ⋅ Masahiro Hamasaki ⋅ Ken Fukuda
Masked Language Flow Models
Iskander Azangulov ⋅ Kianoosh Ashouritaklimi ⋅ Leo Zhang ⋅ Simon Vary ⋅ Patrick Rebeschini
Residual Context Diffusion Language Models
Yuezhou Hu ⋅ Harman Singh ⋅ Monish Maheswaran ⋅ Haocheng Xi ⋅ Coleman R Hooper ⋅ Jintao Zhang ⋅ Aditya Tomar ⋅ Michael W Mahoney ⋅ Sewon Min ⋅ Mehrdad Farajtabar ⋅ Kurt Keutzer ⋅ Amir Gholami ⋅ Chenfeng Xu
DiPOD: Diffusion Policy Optimization without Drifting Apart
Haozhe Jiang ⋅ Haiwen Feng ⋅ Pieter Abbeel ⋅ Jiantao Jiao ⋅ Angjoo Kanazawa ⋅ Nika Haghtalab
Token Time Continuous Diffusion for Language Modeling
Parikshit Bansal ⋅ Sujay Sanghavi
Data-Efficient Autoregressive-to-Diffusion Language Models via On-Policy Distillation
Xingyu Su ⋅ Jacob Helwig ⋅ Shubham Parashar ⋅ Atharv Chagi ⋅ Lakshmi J Madhavarapu ⋅ Degui Zhi ⋅ James Caverlee ⋅ Dileep Kalathil ⋅ Shuiwang Ji
Reinforcement Learning for Diffusion LLMs with Entropy-Guided Step Selection and Stepwise Advantages
Vishnu Teja Kunde ⋅ Fatemeh Doudi ⋅ Mahdi Farahbakhsh ⋅ Dileep Kalathil ⋅ Krishna Narayanan ⋅ Jean-Francois Chamberland
Exploring More, Reasoning Better: Stepwise Risk-Sensitive GRPO for Diffusion Language Models
Yue Yu ⋅ Bowen Zuo ⋅ David J Crandall ⋅ Yinglun Zhu ⋅ Dongruo Zhou
Enabling Approximate Joint Sampling in Diffusion LMs
Parikshit Bansal ⋅ Sujay Sanghavi
Looped Diffusion Language Models
Sanghyun Lee ⋅ Chunsan Hong ⋅ Seungryong Kim ⋅ Jonghyun Lee ⋅ Jongho Park ⋅ Dongmin Park
Representation Steering for Emotions in Diffusion Language Models
Anil Ramakrishna ⋅ Shengyuan Hu ⋅ Will Bullock
Feature Evolution in Diffusion Language Models
Meliksah Yorulmazlar ⋅ Justice Sefas ⋅ Seunghyun Yoo ⋅ Siwen Shao
SimpLM: Simplex-Based Flow Language Modeling via Autoregressive Adaptation
Ningyuan Yang ⋅ Weihua Du ⋅ Weiwei Sun ⋅ Andre W He ⋅ Sean Welleck ⋅ Yiming Yang
Dynamic Boundary Masking: Training-Free Length-Adaptive Decoding for Masked Diffusion Language Models
Masaki Asada ⋅ Hiếu Phí ⋅ Makoto Miwa ⋅ Masahiro Hamasaki ⋅ Ken Fukuda
Opening Remarks
Fred Peng
Panel Discussion: The Future of Diffusion Language Generation
Fred Peng ⋅ Aditya Grover ⋅ Subham S Sahoo ⋅ Aaron Lou
Closing Remarks
Fred Peng