Cover Image

Constrained Discrete Diffusion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cardei, Michael, Christopher, Jacob K, Hartvigsen, Thomas, Kailkhura, Bhavya, Fioretto, Ferdinando
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion
by: Christopher, Jacob K, et al.
Published: (2024)

Constrained Code Generation with Discrete Diffusion
by: Shao, Lize, et al.
Published: (2026)

Low-rank finetuning for LLMs: A fairness perspective
by: Das, Saswat, et al.
Published: (2024)

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation
by: Christopher, Jacob K., et al.
Published: (2025)

SpecDiff-2: Scaling Diffusion Drafter Alignment For Faster Speculative Decoding
by: Sandler, Jameson, et al.
Published: (2025)

Search-Augmented Masked Diffusion Models for Constrained Generation
by: Ta, Huu Binh, et al.
Published: (2026)

Simple Self-Conditioning Adaptation for Masked Diffusion Models
by: Cardei, Michael, et al.
Published: (2026)

Constrained Synthesis with Projected Diffusion Models
by: Christopher, Jacob K, et al.
Published: (2024)

Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis
by: Yang, Hongru, et al.
Published: (2024)

Training-Free Constrained Generation With Stable Diffusion Models
by: Zampini, Stefano, et al.
Published: (2025)

Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling
by: Christopher, Jacob K., et al.
Published: (2026)

Constrained Diffusion for Protein Design with Hard Structural Constraints
by: Christopher, Jacob K., et al.
Published: (2025)

LLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current Benchmarks
by: Pal, Soumyadeep, et al.
Published: (2025)

Constrained Diffusion for Accelerated Structure Relaxation of Inorganic Solids with Point Defects
by: Cui, Jingyi, et al.
Published: (2026)

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making
by: Duan, Jinhao, et al.
Published: (2025)

Learning Constrained Optimization with Deep Augmented Lagrangian Methods
by: Kotary, James, et al.
Published: (2024)

Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2025)

SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
by: Jia, Jinghan, et al.
Published: (2024)

Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models
by: Liang, Jinhao, et al.
Published: (2025)

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models
by: Liang, Jinhao, et al.
Published: (2024)

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
by: Geiping, Jonas, et al.
Published: (2025)

Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
by: Duan, Jinhao, et al.
Published: (2023)

Estimating Semantic Alphabet Size for LLM Uncertainty Quantification
by: McCabe, Lucas H., et al.
Published: (2025)

GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations
by: Duan, Jinhao, et al.
Published: (2024)

Low-Bit Quantization Favors Undertrained LLMs: Scaling Laws for Quantized LLMs with 100T Training Tokens
by: Ouyang, Xu, et al.
Published: (2024)

Generalized Interpolating Discrete Diffusion
by: von Rütte, Dimitri, et al.
Published: (2025)

Learning to Solve Optimization Problems Constrained with Partial Differential Equations
by: Guven, Yusuf, et al.
Published: (2025)

Disparate Impact on Group Accuracy of Linearization for Private Inference
by: Das, Saswat, et al.
Published: (2024)

WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs
by: Thede, Lukas, et al.
Published: (2025)

ElectroVizQA: How well do Multi-modal LLMs perform in Electronics Visual Question Answering?
by: Meshram, Pragati Shuddhodhan, et al.
Published: (2024)

Drifting Objectives for Refining Discrete Diffusion Language Models
by: Oba, Daisuke, et al.
Published: (2026)

Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning
by: Ye, Jiacheng, et al.
Published: (2024)

A Reparameterized Discrete Diffusion Model for Text Generation
by: Zheng, Lin, et al.
Published: (2023)

Discrete Diffusion Language Model for Efficient Text Summarization
by: Dat, Do Huu, et al.
Published: (2024)

Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
by: Lou, Aaron, et al.
Published: (2023)

Learning To Solve Differential Equation Constrained Optimization Problems
by: Di Vito, Vincenzo, et al.
Published: (2024)

Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization
by: Kotary, James, et al.
Published: (2023)

Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence
by: McLeish, Sean, et al.
Published: (2025)

Simulation-Informed Diffusion for Decentralized Multi-robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2026)

LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling
by: Chen, Yuxin, et al.
Published: (2026)