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Research

Fixed Universal Transformers

DGX agent

arXiv:2605.31423v1 Announce Type: new Abstract: We introduce universal transformers: fixed transformers that can simulate any transformer in a given class via a suitable input embedding. Analogous to

researcharxiv-cs-lg

1 Jun 2026

Safety

FLAG: Flow Policy MaxEnt-RL by Latent Augmented Guidance

DGX agent

arXiv:2605.30749v1 Announce Type: new Abstract: Maximum entropy reinforcement learning (MaxEnt-RL) enables robust exploration, yet practical implementations often restrict policies to simple Gaussians

All entries

Fixed Universal Transformers

FLAG: Flow Policy MaxEnt-RL by Latent Augmented Guidance

FlagGAM: Rule-Based Generalized Additive Modeling for Explainable Tabular Prediction

FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment

Float8@2bits: Entropy Coding Enables Data-Free Model Compression

Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments

Flow map learning in nonlinear vector autoregressive models: influence of the feature-library structure on the training error

FLOWR: Flow Matching for Structure-Aware De Novo, Interaction- and Fragment-Based Ligand Generation

FOCUS: Forcing In-Context Object Localization through Visual Support Constraints and Policy Optimization

ForecastCompass: Guiding Agentic Forecasting with Adaptive Factor Memory

Forecasting with Hyper-Trees

Forgetting Has Neighbors: Localized Collateral Forgetting in Machine Unlearning

Formalizing and falsifying causal pathways of rare events

Foundation VAEs for 3D CT Reconstruction, Augmentation, and Generation

Fraud Type Decomposition and the Observation-Mechanism Taxonomy:Class-Specific Detection Limits in Payment Networks

Free energy Estimation on Any State Space

From Evidence to Design: Developing an AI-Augmented UX Research Point of View for Digital Wellbeing in Emergency and Public Safety Contexts

From Internal Diagnosis to External Auditing: A VLM-Driven Paradigm for Data-Free Online Backdoor Defense

From Leaky Thoughts to Private Reasoning: Controlling What LRMs Say to Themselves

From Local Geometry to Global Pseudo Labeling for Robust Positive Unlabeled Learning under Covariate Shift

From Mean-Field Limits to Semiclassical Concentration: Global Convergence of the Canonical Evolutionary Strategy

From Out-of-Distribution Detection to Hallucination Detection: A Geometric View

From Prompt Injection to Persistent Control: Defending Agentic Harness Against Trojan Backdoors

From Weak Cues to Real Identities: Evaluating Inference-Driven De-Anonymization in LLM Agents

FSM-Net: An Efficient Frequency-Spatial Network for Real-World Deblurring

Full-field prediction for engineering-scale three-dimensional aircraft with multigrid-hierarchical learning

Function2Scene: 3D Indoor Scene Layout from Functional Specifications

Functional Attention: From Pairwise Affinities to Functional Correspondences

Functional MRI Time Series Generation via Wavelet-Based Image Transform and Spectral Flow Matching for Brain Disorder Identification

Functorial Neural Architectures from Higher Inductive Types

G-STAR: End-to-End Global Speaker-Tracking Attributed Recognition

Gait2Hip-60: A Unified Deep Learning Benchmark for Predicting Hip Muscle Forces and Joint Moments from Multi-Cadence Gait Kinematics

GaMi: Geometry-Agnostic Material Identification via Cross-Modal Subtractive Disentanglement

Gap-K%: Measuring Top-1 Prediction Gap for Detecting Pretraining Data

GEM-Bench: A Benchmark for Ad-Injected Response Generation within Generative Engine Marketing

Generalistic or Specific Embeddings, Which is Better? An Empirical Study on Search for Clinical Coding in Non-English Languages

Generalized Intention Modeling in Multi-Agent Reinforcement Learning

Generalizing Multi-Scale Time-Series Modeling with a Single Operator

Generating and Refining Dynamic Evaluation Rubrics for LLM-as-a-Judge

Generating Graph-like Rules for Knowledge Graph Reasoning via Diffusion Models

Generating Reports or Repeating Templates? Measuring and Mitigating Template Collapse in 3D CT Report Generation

Generative Drifting is Secretly Score Matching: a Spectral and Variational Perspective

Generative Models and Statistical Validation

Generative Quantum Data Embeddings for Supervised Learning

Geometry-Aware Control Barrier Functions for Collision Avoidance via Bernstein Polynomial Approximations

Geometry-based Schrodinger Bridges for Trustworthy Multimodal Fusion

GETA: Generalized Encrypted Traffic Analysis

GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration