Machine Learning

[R] VOID: Video Object and Interaction Deletion (physically-consistent video inpainting)

We present VOID, a model for video object removal that aims to handle *physical interactions*, not just appearance. Most existing video i...

FLUX 2 Pro (2026) Sketch to Image

I sketched a cow and tested how different models interpret it into a realistic image for downstream 3D generation, turns out some models ...

Improving AI models’ ability to explain their predictions

[2603.25311] Practical Efficient Global Optimization is No-regret

Abstract page for arXiv paper 2603.25311: Practical Efficient Global Optimization is No-regret

[2603.25226] WebTestBench: Evaluating Computer-Use Agents towards End-to-End Automated Web Testing

Abstract page for arXiv paper 2603.25226: WebTestBench: Evaluating Computer-Use Agents towards End-to-End Automated Web Testing

[2603.25216] A Wireless World Model for AI-Native 6G Networks

Abstract page for arXiv paper 2603.25216: A Wireless World Model for AI-Native 6G Networks

[2603.25257] Mitigating Evasion Attacks in Fog Computing Resource Provisioning Through Proactive Hardening

Abstract page for arXiv paper 2603.25257: Mitigating Evasion Attacks in Fog Computing Resource Provisioning Through Proactive Hardening

[2603.25209] Free-Lunch Long Video Generation via Layer-Adaptive O.O.D Correction

Abstract page for arXiv paper 2603.25209: Free-Lunch Long Video Generation via Layer-Adaptive O.O.D Correction

[2603.25196] A Decade-Scale Benchmark Evaluating LLMs' Clinical Practice Guidelines Detection and Adherence in Multi-turn Conversations

Abstract page for arXiv paper 2603.25196: A Decade-Scale Benchmark Evaluating LLMs' Clinical Practice Guidelines Detection and Adherence ...

[2603.25251] Does Explanation Correctness Matter? Linking Computational XAI Evaluation to Human Understanding

Abstract page for arXiv paper 2603.25251: Does Explanation Correctness Matter? Linking Computational XAI Evaluation to Human Understanding

[2603.25187] Probing the Lack of Stable Internal Beliefs in LLMs

Abstract page for arXiv paper 2603.25187: Probing the Lack of Stable Internal Beliefs in LLMs

[2603.25229] An Image Dataset of Common Skin Diseases of Bangladesh and Benchmarking Performance with Machine Learning Models

Abstract page for arXiv paper 2603.25229: An Image Dataset of Common Skin Diseases of Bangladesh and Benchmarking Performance with Machin...

[2603.25250] Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models

Abstract page for arXiv paper 2603.25250: Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language ...

[2603.25170] Knowledge-Guided Adversarial Training for Infrared Object Detection via Thermal Radiation Modeling

Abstract page for arXiv paper 2603.25170: Knowledge-Guided Adversarial Training for Infrared Object Detection via Thermal Radiation Modeling

[2603.25164] PIDP-Attack: Combining Prompt Injection with Database Poisoning Attacks on Retrieval-Augmented Generation Systems

Abstract page for arXiv paper 2603.25164: PIDP-Attack: Combining Prompt Injection with Database Poisoning Attacks on Retrieval-Augmented ...

[2603.25145] Learning to Rank Caption Chains for Video-Text Alignment

Abstract page for arXiv paper 2603.25145: Learning to Rank Caption Chains for Video-Text Alignment

[2603.25155] Photon: Speedup Volume Understanding with Efficient Multimodal Large Language Models

Abstract page for arXiv paper 2603.25155: Photon: Speedup Volume Understanding with Efficient Multimodal Large Language Models

[2603.25150] Goodness-of-pronunciation without phoneme time alignment

Abstract page for arXiv paper 2603.25150: Goodness-of-pronunciation without phoneme time alignment

[2603.25146] Factors Influencing the Quality of AI-Generated Code: A Synthesis of Empirical Evidence

Abstract page for arXiv paper 2603.25146: Factors Influencing the Quality of AI-Generated Code: A Synthesis of Empirical Evidence

[2603.25144] FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation

Abstract page for arXiv paper 2603.25144: FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation

[2603.25068] Ultra-fast Traffic Nowcasting and Control via Differentiable Agent-based Simulation

Abstract page for arXiv paper 2603.25068: Ultra-fast Traffic Nowcasting and Control via Differentiable Agent-based Simulation

[2603.25015] Imperative Interference: Social Register Shapes Instruction Topology in Large Language Models

Abstract page for arXiv paper 2603.25015: Imperative Interference: Social Register Shapes Instruction Topology in Large Language Models

[2603.25126] MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation

Abstract page for arXiv paper 2603.25126: MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation