{"total":26,"rows":[{"id":"2605.10938","title":"ELF: Embedded Language Flows","created":"2026-05-11","cited_by_count":45,"area":"diffusion"},{"id":"2605.18530","title":"Continuous Diffusion Scales Competitively with Discrete Diffusion for Language","created":"2026-05-18","cited_by_count":19,"area":"diffusion"},{"id":"2603.20155","title":"Beyond Single Tokens: Distilling Discrete Diffusion Models via Discrete MMD","created":"2026-03-20","cited_by_count":12,"area":"diffusion"},{"id":"2605.07933","title":"How to Train Your Latent Diffusion Language Model Jointly With the Latent Space","created":"2026-05-08","cited_by_count":11,"area":"diffusion"},{"id":"2605.07013","title":"CoBit: Language Modeling with Bitstream Diffusion","created":"2026-05-07","cited_by_count":10,"area":"diffusion"},{"id":"2605.07820","title":"Scaling Categorical Flow Maps","created":"2026-05-08","cited_by_count":8,"area":"diffusion"},{"id":"2604.03779","title":"CountsDiff: A Diffusion Model on the Natural Numbers for Generation and Imputation of Count-Based Data","created":"2026-04-04","cited_by_count":2,"area":"diffusion"},{"id":"2605.19470","title":"Drifting Objectives for Refining Discrete Diffusion Language Models","created":"2026-05-19","cited_by_count":2,"area":"diffusion"},{"id":"2606.27617","title":"Masked Language Flow Models","created":"2026-06-26","cited_by_count":2,"area":"diffusion"},{"id":"2608.23551","title":"ConvergeFlow: Language Flow with Provable Convergence to Token Embeddings","created":"2026-08-24","cited_by_count":2,"area":"diffusion"},{"id":"2606.08810","title":"Continuous Language Diffusion as a Decoder-Interface Problem","created":"2026-06-07","cited_by_count":1,"area":"diffusion"},{"id":"2607.19686","title":"Multi-Mask Diffusion Language Models for Few-Step Generation","created":"2026-07-22","cited_by_count":1,"area":"diffusion"},{"id":"2607.26504","title":"From Interface to Inference: Eliciting Any-Order Inference from Any-Order Models","created":"2026-07-29","cited_by_count":1,"area":"diffusion"},{"id":"2609.20539","title":"Parallelism, critical windows, and separations among diffusion language models","created":"2026-09-17","cited_by_count":1,"area":"diffusion"},{"id":"2609.35947","title":"FluxLite: Inference-Time Proposal Control for Discrete Diffusion Models","created":"2026-09-28","cited_by_count":1,"area":"diffusion"},{"id":"2605.13681","title":"Sampling from Flow Language Models via Marginal-Conditioned Bridges","created":"2026-05-13","cited_by_count":0,"area":"diffusion"},{"id":"2607.23348","title":"Logit-Coordinate Generative Models for Mixed Continuous-Categorical Tabular Data","created":"2026-07-25","cited_by_count":0,"area":"diffusion"},{"id":"2608.26961","title":"Gromov-Monge Flow Matching for Equivariant Graph Generation","created":"2026-08-27","cited_by_count":0,"area":"diffusion"},{"id":"2609.19356","title":"How to Guide Your Language Flow","created":"2026-09-16","cited_by_count":0,"area":"diffusion"},{"id":"2609.38364","title":"Acceleration of Diffusion Language Model through Discrete Average Generator","created":"2026-09-29","cited_by_count":0,"area":"diffusion"},{"id":"2609.40235","title":"Distribution Matching Distillation for Continuous Diffusion Language Models","created":"2026-09-30","cited_by_count":0,"area":"diffusion"},{"id":"2610.00894","title":"Clock Diffusion: Efficient Semi-Autoregressive Continuous Diffusion Language Models","created":"2026-10-01","cited_by_count":0,"area":"diffusion"},{"id":"2610.06468","title":"Latent Flow Matching for Molecular Graph Generation","created":"2026-10-05","cited_by_count":0,"area":"diffusion"},{"id":"2610.08537","title":"FlowCF: Sparse Counterfactual Explanations for Mixed-Type Tabular Data using Flow Matching","created":"2026-10-06","cited_by_count":0,"area":"diffusion"},{"id":"2610.13834","title":"On the Design Space of Continuous Diffusion Language Models","created":"2026-10-09","cited_by_count":0,"area":"diffusion"},{"id":"2610.17244","title":"MIRRA: Fast, High-Fidelity Molecular Generation with Chemistry-Informed Discrete Flow Matching","created":"2026-10-12","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}