Daily Arxiv

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Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation

Stochastic Penalty-Barrier Methods for Constrained Machine Learning

MINTEval: Evaluating Memory under Multi-Target Interference in Long-Horizon Agent Systems

Prompt2Fingerprint: Plug-and-Play LLM Fingerprinting via Text-to-Weight Generation

What's Holding Back Latent Visual Reasoning?

A Simplex Witness Certificate for Constant Collapse in Variational Autoencoders

Balancing Knowledge Distillation for Imbalance Learning with Bilevel Optimization

DiagEval: Trajectory-Conditioned Diagnosis for Reliable Software Evaluation with GUI Agents

1GC-7RC: One Graphic Card -- Seven Research Challenges! How Good Are AI Agents at Doing Your Job?

Learning-Zone Energy: Online Data Selection for Efficient RL Post-Training

EfficientTDMPC: Improved MPC Objectives for Sample-Efficient Continuous Control

CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?

PrivScope: Task-scoped Disclosure Control for Hybrid Agentic Systems

SLEIGHT-Bench: A Benchmark of Evasion Attacks Against Agent Monitors

Nested Spatio-Temporal Time Series Forecasting

Membership Inference Attacks on Discrete Diffusion Language Models

StrLoRA: Towards Streaming Continual Visual Instruction Tuning for MLLMs

Argus: Evidence Assembly for Scalable Deep Research Agents

RoadmapBench: Evaluating Long-Horizon Agentic Software Development Across Version Upgrades

Pretraining Objective Matters in Extreme Low-Data FGVC: A Backbone-Controlled Study

DeltaPrompts: Escaping the Zero-Delta Trap in Multimodal Distillation

HoloMotion-1 Technical Report

VGGT-Edit: Feed-forward Native 3D Scene Editing with Residual Field Prediction

Dywave: Event-Aligned Dynamic Tokenization for Heterogeneous IoT Sensing Signals

Beyond Perplexity: A Geometric and Spectral Study of Low-Rank Pre-Training

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling

Protocol-Driven Development: Governing Generated Software Through Invariants and Continuous Evidence

VECTOR-Drive: Tightly Coupled Vision-Language and Trajectory Expert Routing for End-to-End Autonomous Driving

VT-Bench: A Unified Benchmark for Visual-Tabular Multi-Modal Learning

HoReN: Normalized Hopfield Retrieval for Large-Scale Sequential Model Editing

Flow-OPD: On-Policy Distillation for Flow Matching Models

Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models

RELO: Reinforcement Learning to Localize for Visual Object Tracking

R$^3$L: Reasoning 3D Layouts from Relative Spatial Relations

PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts

GRALIS: A Unified Canonical Framework for Linear Attribution Methods via Riesz Representation

Skill Neologisms: Towards Skill-based Continual Learning

GEASS: Gated Evidence-Adaptive Selective Caption Trust for Vision-Language Models

One-Block Transformer (1BT) for EEG-Based Cognitive Workload Assessment

Addressing the Reality Gap: A Three-Tension Framework for Agentic AI Adoption

Designing escalation criteria for international AI incident response: criteria, triggers, and thresholds

MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support

Is SAM3 ready for pathology segmentation?

HeadRank: Decoding-Free Passage Reranking via Preference-Aligned Attention Heads

A Lightweight Transformer for Pain Recognition from Brain Activity

Class Unlearning via Depth-Aware Removal of Forget-Specific Directions

C-ReD: A Comprehensive Chinese Benchmark for AI-Generated Text Detection Derived from Real-World Prompts

Efficient Emotion-Aware Iconic Gesture Prediction for Robot Co-Speech

DSPR: Dual-Stream Physics-Residual Networks for Trustworthy Industrial Time Series Forecasting

Learning Stable Predictors from Weak Supervision under Distribution Shift

Target-Aligned Reinforcement Learning

IMPACT: Influence Modeling for Open-Set Time Series Anomaly Detection

How do LLMs Compute Verbal Confidence

Synthetic Data Generation for Brain-Computer Interfaces: Overview, Benchmarking, and Future Directions

Does AI See like Art Historians? Interpreting How Vision Language Models Recognize Artistic Style

ViroGym: Realistic Large-Scale Benchmarks for Evaluating Viral Proteins

How to Model AI Agents as Personas?: Applying the Persona Ecosystem Playground to 41,300 Posts on Moltbook for Behavioral Insights

3D aperture-engineered diffractive neural networks for super-resolution electromagnetic wave computing

DLEBench: Evaluating Small-scale Object Editing Ability for Instruction-based Image Editing Model

A Geometric Analysis of Small-sized Language Model Hallucinations

Language Model Memory and Memory Models for Language

How does longer temporal context enhance multimodal narrative video processing in the brain?

Learning Rate Matters: Vanilla LoRA May Suffice for LLM Fine-tuning

Protein Autoregressive Modeling via Multiscale Structure Generation

Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design

Enabling Real-Time Colonoscopic Polyp Segmentation on Commodity CPUs via Ultra-Lightweight Architecture

WIND: Weather Inverse Diffusion for Zero-Shot Atmospheric Modeling

Whispers of Wealth: Red-Teaming Google's Agent Payments Protocol via Prompt Injection

SuperInfer: SLO-Aware Rotary Scheduling and Memory Management for LLM Inference on Superchips

FreeOrbit4D: Training-Free Arbitrary Camera Redirection for Monocular Videos via Foreground-Complete 4D Reconstruction

Disentangling generalization and memorization in large language models using chess

Multimodal system for skin cancer detection

Q-learning with Adjoint Matching

STAGE: A Full-Screenplay Benchmark for Reasoning over Evolving Storie

Tracing Moral Foundations in Large Language Models

Eliminating Inductive Bias in Reward Models with Information-Theoretic Guidance

Toward Training Superintelligent Software Agents through Self-Play SWE-RL

MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution

NORi: An ML-Augmented Ocean Boundary Layer Parameterization

Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution

HarmonicAttack: An Adaptive Cross-Domain Audio Watermark Removal

Data-driven Acceleration of MPC with Guarantees

Adaptive Residual-Update Steering for Low-Overhead Hallucination Mitigation in Large Vision Language Models

PlantTraitNet: An Uncertainty-Aware Multimodal Framework for Global-Scale Plant Trait Inference from Citizen Science Data

Noise-corrected GRPO: From Noisy Rewards to Unbiased Gradients

Needles in the Landscape: Semi-Supervised Pseudolabeling for Archaeological Site Discovery under Label Scarcity

Dr.LLM: Dynamic Layer Routing in LLMs

WARC-Bench: Web Archive Based Benchmark for GUI Subtask Executions

Proximal Diffusion Neural Sampler

Beyond Majority Voting: LLM Aggregation by Leveraging Higher-Order Information

HiDe: Rethinking The Zoom-IN method in High Resolution MLLMs via Hierarchical Decoupling

Jailbreaking on Text-to-Video Models via Scene Splitting Strategy

YAC: Bridging Natural Language and Interactive Visual Exploration with Generative AI for Biomedical Data Discovery

ORCA: An Agentic Reasoning Framework for Hallucination and Adversarial Robustness in Vision-Language Models

Digital Voices of Survival: From Social Media Disclosures to Support Provisions for Domestic Violence Victims

PiKV: KV Cache Management System for Mixture of Experts

CoLD: Counterfactually-Guided Length Debiasing for Process Reward Models in Mathematical Reasoning

Fine-tuning Large Language Model for Automated Algorithm Design

Mechanistic Interpretability Needs Philosophy

Recursive Entropic Risk Optimization in Discounted MDPs: Sample Complexity Bounds with a Generative Model

radarODE: An ODE-Embedded Deep Learning Model for Contactless ECG Reconstruction from Millimeter-Wave Radar

Created by

Haebom

저자

Yuanyuan Zhang, Runwei Guan, Lingxiao Li, Rui Yang, Yutao Yue, Eng Gee Lim

개요

본 논문은 밀리미터파 레이더 신호로부터 고해상도 심전도(ECG) 신호를 재구성하는 어려움을 해결하기 위해, 전기적 영역(ECG)과 기계적 영역(심장 박동)의 심장 활동을 분리하는 새로운 딥러닝 프레임워크인 radarODE를 제안합니다. radarODE는 레이더 신호에서 추출된 시간적 및 형태학적 특징을 융합하여 ECG를 생성하며, 상미분 방정식(ODE)을 디코더로 포함하여 형태학적 사전 정보를 제공함으로써 모델 학습의 수렴성을 향상시키고 움직임에 대한 강건성을 높입니다. 실험 결과, radarODE는 기존 방법 대비 누락 검출률, 평균 제곱근 오차, 피어슨 상관 계수에서 각각 9%, 16%, 19% 향상된 성능을 보였습니다.