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Research

Flowing with Confidence

DGX agent

arXiv:2605.18472v1 Announce Type: cross Abstract: Generative models can produce nonsensical text, unrealistic images, and unstable materials faster than simulation or human review can absorb; without

researcharxiv-cs-ai

19 May 2026

Research

FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting

DGX agent

arXiv:2505.16786v2 Announce Type: replace Abstract: We introduce FlowMixer, a single-layer neural architecture that leverages constrained matrix operations to model structured spatiotemporal patterns

All entries

Flowing with Confidence

FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics

Focused Forcing: Content-Aware Per-Frame KV Selection for Efficient Autoregressive Video Diffusion

FOL2NS: Generating Natural Sentences from First-Order Logic

Forecasting Downstream Performance of LLMs With Proxy Metrics

Forecasting Medium-Horizon Alzheimer's Disease Progression: Residual Gap-Aware Transformers for 24-Month CDR-SB Change from ADNI Clinical and Biomarker Histories

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking

Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models

Forgetting is Competition: Rethinking Unlearning as Representation Interference in Diffusion Models

Form and Function: Machine Unlearning as a Problem of Misaligned States

FormuLLA: A Large Language Model Approach to Generating Novel 3D Printable Formulations

Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster

Foundation Models for Credit Risk Prediction: A Game Changer?

Fourier Compressor: Frequency-Domain Visual Token Compression for Vision-Language Models

fPINN-DeepONet: A Physics-Informed Operator Learning Framework for Multi-term Time-fractional Mixed Diffusion-wave Equations

Fre-Res: Frequency-Residual Video Token Compression for Efficient Video MLLMs

FrequencyBooster: Full-Frequency Modeling for High-Fidelity Pixel Diffusion

Friends and Grandmothers in Silico: Localizing Entity Cells in Language Models

From a Single Demonstration to a General Policy for Contact-Rich Manipulation

From BERT to T5: A Study of Named Entity Recognition

From Demographics to Survey Anchors: Evaluating LLM Agents for Modeling Retirement Attitudes

From Documents to Segments: A Contextual Reformulation for Topic Assignment

From Imitation to Interaction: Mastering Game of Schnapsen with Shallow Reinforcement Learning

From Isolated Scoring to Collaborative Ranking: A Comparison-Native Framework for LLM-Based Paper Evaluation

From Pixels to Places: A Systematic Benchmark for Evaluating Image Geolocalization Ability in Large Language Models

From Prediction to Intervention: The Evolution of AI in Biomedicine

From Prompts to Protocols: An AI Agent for Laboratory Automation

From Reactive to Proactive: A Multi-Regulatory Empirical Analysis of 480 AI Incidents and a Data-Driven Governance Compliance Framework

From Static Risk to Dynamic Trajectories: Toward World-Model-Inspired Clinical Prediction

From Volume to Value: Preference-Aligned Memory Construction for On-Device RAG

Full Attention Strikes Back: Transferring Full Attention into Sparse within Hundred Training Steps

FUNCanon: Learning Pose-Aware Action Primitives via Functional Object Canonicalization for Generalizable Robotic Manipulation

Function graph transformers universally approximate operators between function spaces

Functionalization via Structure Completion and Motion Rectification

FUSE: A Framework for Unified State Estimation in Robotic SLAM Systems

GAMMA: Global Bit Allocation for Mixed-Precision Models under Arbitrary Budgets

Gated KalmaNet: A Fading Memory Layer Through Test-Time Ridge Regression

GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation

GaussianZoom: Progressive Zoom-in Generative 3D Gaussian Splatting with Geometric and Semantic Guidance

GCE-MIL: Faithful and Recoverable Evidence for Multiple Instance Learning in Whole-Slide Imaging

GEM: Gaussian Evolution Model for Occupancy Forecasting and Motion Planning

General Preference Reinforcement Learning

Generalizable and Actionable Parts Pose Estimation with Symmetry Annotation-Free Learning Strategy

Generalization analysis with deep ReLU networks for metric and similarity learning

Generalization or Memorization? Brittleness Testing for Chess-Trained Language Models

Generalize cross-ratios in n-dimensional Plane-Based Geometric Algebra

Generalized Functional ANOVA in Closed-Form: A Unified View of Additive Explanations