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Corrected Samplers for Discrete Flow Models

DGX agent

arXiv:2601.22519v2 Announce Type: replace-cross Abstract: Discrete flow models (DFMs) have been proposed to learn the data distribution on finite state space, offering a flexible framework as an alter

tutorialsarxiv-cs-lg

27 May 2026

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Corrected Samplers for Discrete Flow Models

Cost controls are one of the main benefits of langsmith LLM gateway We’re seeing in a bunch of use cases adoption is getting to a point wher…

Cost of Structural Learning Under Censored Feedback: A Threshold-Bandit Approach

Counteraction-Aware Multi-Teacher On-Policy Distillation for General Capability Recovery with Domain Preservation

Counterfactual Credit Policy Optimization for Multi-Agent Collaboration

COVD: Continual Open-Vocabulary Object Detection with Novel Concept Injection

→ Creativity dial (Raw → High) to trade prompt adherence for aesthetic depth → Style reference image input → Moodboard conditioning for cons…

Credit-assigned Policy Gradient for Early Stage Retrieval in Two-stage Ranking

CroCo: Cross-Lingual Contrastive Preference Tuning on Self-Generations

CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection

Cross-Receiver Generalization for RF Fingerprint Identification via Feature Disentanglement and Adversarial Training

Cross-scale Aligned Supervision for Training GANs

CSV-ViT: A Vision Transformer with the Variable-sized Cortical Supervertices for Detection of Alzheimer's Disease Pathologies

Cultural Value Alignment Via Latent Activation Steering in Large Language Models

Curation and Extraction of Drug-Related Entities from Reddit Platform

Curriculum Learning for Safety Alignment

CyberEvolver: Structured Self-Evolution for Cybersecurity Agents On the Fly

Data-driven sparse identification of governing PDEs via knockoff filters and multi-criteria trade-offs

Datacurve releases the DeepSWE coding benchmark, a 113-task test across 91 open-source repositories and five languages, and says GPT-5.5 is the leader at 70% (Michael Nuñez/VentureBeat)

Datasets for Lane Detection in Autonomous Driving: A Comprehensive Review

DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection

Decent chance that, not even taking into account GenAI, this will be viewed as a decade of incredible progress against the problems that wer…

Decoupled Delay Compensation: Enhancing Pre-trained MARL Policies via Learned Dynamics Filtering

Deep Agents v0.6 brings Delta channels, reducing checkpoint storage by up to 100x for long-running agents, without sacrificing observability…

Deep-layer limit and stability analysis of the basic forward-backward-splitting induced network (II): learning problems

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows

DeepInterestGR: Mining Deep Multi-Interest Using Multi-Modal LLMs for Generative Recommendation

DEI: Diversity in Evolutionary Inference for Quality-Diversity Search

DelowlightSplat: Feed-Forward Gaussian Splatting for Lowlight 3D Scene Reconstruction

Demis Hassabis says he still broadly expects AGI around 2030, though he now sees 2029 as a possibility, and 2026's 'agentic era' is a 'bit like a practice run' (Ina Fried/Axios)

Demystifying Video Reasoning

Dense2MoE: Pushing the Pareto Frontier of On-Device LLMs via Unified Pruning and Upcycling

Design First, Code Later: Aesthetically Pleasing Template-Free Slides Generation

Detached Skip-Links and R-Probe: Decoupling Feature Aggregation from Gradient Propagation for MLLM OCR

Detail Consistent Stage-Wise Distillation for Efficient 3D MRI Segmentation

Detectability in Diversity: Improved Canary Crafting for Privacy Auditing in One Run

Detecting Is Not Resolving: The Monitoring Control Gap in Retrieval Augmented LLMs

Developing a Totally Unimodular Linear Program for Optimal Conformance Checking: When and Why It Complements A*

Device Context Protocol: A Compact, Safety-First Architecture for LLM-Driven Control of Constrained Devices

DGLD: Domain-Gated Latent Diffusion for the Discovery of Novel Energetic Materials

DIANOIA: Diagnostic Decomposition and Joint Optimization for Multi-Agent Reasoning

Diffuse to Detect: Generative Diffusion Models for Unsupervised IC Anomaly Detection

Dimensional Distribution Emotion State: Leveraging Valence and Arousal as a Common Embedding Space for Visual Emotion Analysis

DinoComplete: 3D Shape Completion with Distilled Semantic Priors and State Space Models

DirectFisheye-GS: Enabling Native Fisheye Input in Gaussian Splatting with Cross-View Joint Optimization

Disentangled Representation Learning through Unsupervised Symmetry Group Discovery

Dissecting Multimodal In-Context Learning: Modality Asymmetries and Circuit Dynamics in modern Transformers

Distributed Control of Network Systems in the Space of Stabilizing Graph Neural Network Policies