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Research

The Diffusion Encoder

DGX agent

arXiv:2605.13399v1 Announce Type: new Abstract: We construct a new kind of encoder, leveraging the expressive power of diffusion models. In a traditional variational autoencoder, the encoder and decod

researcharxiv-cs-lg

14 May 2026

Research

The Efficiency Gap in Byte Modeling

DGX agent

arXiv:2605.12928v1 Announce Type: new Abstract: Modern language models have historically relied on two dominant design choices: subword tokenization and autoregressive (AR) ordering. These design deci

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The Diffusion Encoder

The Efficiency Gap in Byte Modeling

The End Justifies the Mean: A Linear Ranking Rule for Proportional Sequential Decisions

The Expressivity Boundary of Probabilistic Circuits: A Comparison with Large Language Models

The Geometry of LLM Quantization: GPTQ as Babai's Nearest Plane Algorithm

The Horizon Threshold in Cooperative Multi-Agent Reward-Free Exploration

The Joint Gromov Wasserstein Objective for Multiple Object Matching

The Mechanism of Weak-to-Strong Generalization: Feature Elicitation from Latent Knowledge

The Payment Heterogeneity Index: An Integrated Unsupervised Framework for High-Volume Procurement Oversight and Decision Support

The Readability Spectrum: Patterns, Issues, and Prompt Effects in LLM-Generated Code

The Sample Complexity of Multiple Change Point Identification under Bandit Feedback

The Score-Difference Flow for Implicit Generative Modeling

The Unified Autonomy Stack: Toward a Blueprint for Generalizable Robot Autonomy

The WidthWall: A Strict Expressivity Hierarchy for Hypergraph Neural Networks

ThermalTap: Passive Application Fingerprinting in VR Headsets via Thermal Side Channels

Think Twice, Act Once: Verifier-Guided Action Selection For Embodied Agents

Three-Stage Learning Unlocks Strong Performance in Simple Models for Long-Term Time Series Forecasting

TiCo: Time-Controllable Spoken Dialogue Model

Tight Sample Complexity Bounds for Entropic Best Policy Identification

Tighter Learning Guarantees on Digital Computers via Concentration of Measure on Finite Spaces

TimelineReasoner: Advancing Timeline Summarization with Large Reasoning Models

TinySDP: Real Time Semidefinite Optimization for Certifiable and Agile Edge Robotics

TokaMind for Power Grid: Cross-Domain Transfer from Fusion Plasma

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery

ToolWeave: Structured Synthesis of Complex Multi-Turn Tool-Calling Dialogues

Topo-R1: Detecting Topological Anomalies via Vision-Language Models

Topology-Preserving Neural Operator Learning via Hodge Decomposition

TouchAnything: A Dataset and Framework for Bimanual Tactile Estimation from Egocentric Video

Toward AI-Driven Digital Twins for Metropolitan Floods: A Conditional Latent Dynamics Network Surrogate of the Shallow Water Equations

Toward Scalable Verifiable Reward: Proxy State-Based Evaluation for Multi-turn Tool-Calling LLM Agents

Towards a holistic understanding of Selection Bias for Causal Effect Identification

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning

Towards Long-horizon Embodied Agents with Tool-Aligned Vision-Language-Action Models

Towards Robust Federated Multimodal Graph Learning under Modality Heterogeneity

Towards Unified Surgical Scene Understanding:Bridging Reasoning and Grounding via MLLMs

Tracing Persona Vectors Through LLM Pretraining

TrackCraft3R: Repurposing Video Diffusion Transformers for Dense 3D Tracking

Training Large Language Models to Predict Clinical Events

Training LLMs with Reinforcement Learning for Intent-Aware Personalized Question Answering

Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context

Trajectory-Level Data Augmentation for Offline Reinforcement Learning

TRIAGE: Evaluating Prospective Metacognitive Control in LLMs under Resource Constraints

TurboGR: An Accelerated Training System for Large-Scale Generative Recommendation

Twincher: Bijective Representation Learning for Robust Inversion of Continuous Systems

U-HNO: A U-shaped Hybrid Neural Operator with Sparse-Point Adaptive Routing for Non-stationary PDE Dynamics

UFO: A Domain-Unification-Free Operator Framework for Generalized Operator Learning

Uncertainty-Aware 3D Position Refinement for Multi-UAV Systems

Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks