ICLR 2026PastSafety & alignmentDiffusion models
Real‑World Constrained and Preference‑Aligned Flow‑ and Diffusion‑Based Models | ICLR 2026 Workshop
ReALM-GEN 2026 - ICLR 2026 Workshop
- Submission deadline
- Feb 13, 2026, 11:59 UTCOpenReview-synced 2026-02-13 11:59 UTC (as of 2026-06-23) — extensions on OpenReview are applied automatically; verify on the website.
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (84)
Fetched from OpenReview (v2) on 2026-06-10.
A Unified Density Operator View of Flow Control and Merging
A2D2: Finetuning Any-Length Discrete Diffusion for Adaptive Decoding
Accelerated Sequential Flow Matching: A Bayesian Filtering Perspective
Accelerating Diffusion Language Models via Inverse Distillation
Action-Informed Belief via Latent Flow Matching for Memory-Intensive Robotic Tasks
Activation Steering for Masked Diffusion Language Models
Adapting Diffusion Policies to Novel Environments via Policy-Steered Optimization
Adaptive Order Policies for Masked Diffusion
Aligning Diffusion Language Models via Unpaired Preference Optimization
AReUReDi: Annealed Rectified Updates for Refining Discrete Flows with Multi-Objective Guidance
Bad-OOD: Discovering Harmful Synthetic Diffusion Outliers via Confidence Calibration
BlockGen: Flexible Blockwise Sequence Modeling with Hybrid Samplers
Categorical Reparameterization with Denoising Diffusion models
CausalSliders: Graph-Guided LoRA Interventions for Causally Consistent Image Editing
CMAD: Cooperative Multi-Agent Diffusion via Stochastic Optimal Control
Constraint-Aware Flow Matching via Randomized Exploration
Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation
CupOFMoCA: Coupled Objective-Guided Discrete Flows for Molecular Conjugate Assembly
DDNO: Discrete Diffusion Noise Optimization
Decoupling Tilting from Transport: Stable Online Alignment of Flow and Diffusion Policies
Di3PO - Diptych Diffusion DPO for Targeted Improvements in Image
Diamond Maps: Efficient Reward Alignment via Stochastic Flow Maps
DiffAntiSeq: Target-Steered Diffusion in Latent Sequence Space for Antibody Library Design
Diffuse and Steer: Corrective Sampling for Stable 3D Molecular Diffusion
Diffusion Alignment Beyond KL: Variance Minimisation as Effective Policy Optimiser
Diffusion Policy Optimization without Drifting Apart
Diffusion Priors for Lightweight Personal- ized Image Generation
Diffusion-Driven Latent Guided Sampling for Neural Combinatorial Optimization
Discrete Diffusion Inference-Time Control With Nested Sequential Monte Carlo
Disentangled Compositional Diffusion for Controllable Scientific Data Generation
Divide-and-Denoise: A Game-Theoretic Method for Fairly Composing Diffusion Models
Efficient Tail-Aware Generative Optimization via Flow Model Fine-Tuning
Energy-Guided Diffusion for Valid SMILES Generation
Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization
EntRGi: Entropy Aware Reward Guidance for Diffusion Language Models
Flexible Locomotion Learning with Diffusion Model Predictive Control
Flow-Factory: A unified framework for easy reinforcement learning in Flow-Matching models
From Diffusion to Flow: Efficient Motion Generation in MotionGPT3
From Noise to Control: Parameterized Diffusion Policies
Full-length mRNA Design with Reward-Guided Masked Diffusion Model Fine-Tuning
Function-Space Decoupled Diffusion for Forward and Inverse Modeling in Carbon Capture and Storage
Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control
GlyphFashion: Fine-Grained Text-Aware Fashion Image Editing via Diffusion Models
Guess & Guide: Gradient-Free Zero-Shot Diffusion Guidance
Guidance Is Not a Hyperparameter: Learning Dynamic Control in Diffusion Language Models
Guided Star-Shaped Masked Diffusion
Guided Transfer Learning for Discrete Diffusion Models
Hamiltonian-Guided Diffusion Fields for Variable-Length Rigid-Arm Trajectory Generation
HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization
Imitation from Observations with Trajectory-Level Generative Embeddings
Inference-Time Attribute Distribution Alignment for Unconditional Diffusion
Inference-Time CLIP Embedding Manipulation for Compositional Text-to-Image Alignment
Learning Illumination Control in Diffusion Models
LieFlower: Controlling Target Protein Dynamics via Lie-Guided Discrete Flows
MacroGuide: Topological Guidance for Macrocycle Generation
Minimal-Action Discrete Schrödinger Bridge Matching for Peptide Sequence Design
MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance
MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion Models
MOOSE: Targeted Small Molecule Generation via Multi-Objective-Guided Discrete Diffusion
Optimizing Remasking Schedules for Reasoning in Discrete Diffusion Models
pCoMole: Pareto-Constrained Molecule Editing with Discrete Flows
Protein generation with embedding learning for motif diversification
Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling
Representation Alignment for Inverse Problems with Diffusion and Flow-Based Models
Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design
Reward-Guided Discrete Diffusion via Clean-Sample Markov Chain
Rex: A Family of Reversible Exponential (Stochastic) Runge-Kutta Solvers
RFG: Test-Time Scaling for Diffusion Large Language Model Reasoning with Reward-Free Guidance
Self-Improving Vision-Language-Action Models with Data Generation via Residual RL
Stein Diffusion Guidance: Training-Free Posterior Correction for Sampling Beyond High-Density Regions
Stochastic Few-step Models
Stratified Hazard Sampling: Minimal-Variance Event Scheduling for CTMC/DTMC Discrete Diffusion and Flow Models
TD3B: Transition-Directed Discrete Diffusion for Allosteric Binder Generation
Time-to-Move: Training-Free Motion-Controlled Video Generation via Dual-Clock Denoising
Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models
Understanding Sampler Stochasticity in Training Diffusion Models for RLHF
Unifying Autoregressive and Discrete Diffusion Language Modeling via Cross-Regressive Decoding
UniGuide: Learning Guidance Policies for Multi-Objective Diffusion Sampling
Variational Entropic Optimal Transport
Verifier-Threshold: An Efficient Test-Time Scaling Approach for Image Generation
When Guidance Breaks: A Schrödinger Bridge Perspective on Inference-Time Alignment in Diffusion Models
When Test-Time Guidance Is Enough: Fast Image and Video Editing with Diffusion Guidance
Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow Models
WIND: Weather Inverse Diffusion for Zero-Shot Atmospheric Modeling