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[2510.04900] Benchmarking M-LTSF: Frequency and Noise-Based Evaluation of Multivariate Long Time Series Forecasting Models
Machine Learning

[2510.04900] Benchmarking M-LTSF: Frequency and Noise-Based Evaluation of Multivariate Long Time Series Forecasting Models

Abstract page for arXiv paper 2510.04900: Benchmarking M-LTSF: Frequency and Noise-Based Evaluation of Multivariate Long Time Series Forecasting Models

arXiv - Machine Learning · 4 min ·
[2603.25723] Natural-Language Agent Harnesses

[2603.25723] Natural-Language Agent Harnesses

Abstract page for arXiv paper 2603.25723: Natural-Language Agent Harnesses

arXiv - AI · 3 min ·
[2603.25716] Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Models
Machine Learning

[2603.25716] Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Models

Abstract page for arXiv paper 2603.25716: Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Models

arXiv - AI · 4 min ·
[2509.15199] CausalPre: Scalable and Effective Data Pre-Processing for Causal Fairness
Machine Learning

[2509.15199] CausalPre: Scalable and Effective Data Pre-Processing for Causal Fairness

Abstract page for arXiv paper 2509.15199: CausalPre: Scalable and Effective Data Pre-Processing for Causal Fairness

arXiv - Machine Learning · 4 min ·
[2508.09223] Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation
Machine Learning

[2508.09223] Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation

Abstract page for arXiv paper 2508.09223: Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation

arXiv - AI · 4 min ·
[2509.08617] Towards Interpretable Deep Neural Networks for Tabular Data
Machine Learning

[2509.08617] Towards Interpretable Deep Neural Networks for Tabular Data

Abstract page for arXiv paper 2509.08617: Towards Interpretable Deep Neural Networks for Tabular Data

arXiv - Machine Learning · 3 min ·
[2603.25697] The Kitchen Loop: User-Spec-Driven Development for a Self-Evolving Codebase
Llms

[2603.25697] The Kitchen Loop: User-Spec-Driven Development for a Self-Evolving Codebase

Abstract page for arXiv paper 2603.25697: The Kitchen Loop: User-Spec-Driven Development for a Self-Evolving Codebase

arXiv - AI · 3 min ·
[2507.19737] Predicting Human Mobility during Extreme Events via LLM-Enhanced Cross-City Learning
Llms

[2507.19737] Predicting Human Mobility during Extreme Events via LLM-Enhanced Cross-City Learning

Abstract page for arXiv paper 2507.19737: Predicting Human Mobility during Extreme Events via LLM-Enhanced Cross-City Learning

arXiv - AI · 4 min ·
[2603.25686] Just Zoom In: Cross-View Geo-Localization via Autoregressive Zooming
Nlp

[2603.25686] Just Zoom In: Cross-View Geo-Localization via Autoregressive Zooming

Abstract page for arXiv paper 2603.25686: Just Zoom In: Cross-View Geo-Localization via Autoregressive Zooming

arXiv - AI · 4 min ·
[2505.23004] QLIP: A Dynamic Quadtree Vision Prior Enhances MLLM Performance Without Retraining
Llms

[2505.23004] QLIP: A Dynamic Quadtree Vision Prior Enhances MLLM Performance Without Retraining

Abstract page for arXiv paper 2505.23004: QLIP: A Dynamic Quadtree Vision Prior Enhances MLLM Performance Without Retraining

arXiv - Machine Learning · 4 min ·
[2603.25674] Measuring What Matters -- or What's Convenient?: Robustness of LLM-Based Scoring Systems to Construct-Irrelevant Factors
Llms

[2603.25674] Measuring What Matters -- or What's Convenient?: Robustness of LLM-Based Scoring Systems to Construct-Irrelevant Factors

Abstract page for arXiv paper 2603.25674: Measuring What Matters -- or What's Convenient?: Robustness of LLM-Based Scoring Systems to Con...

arXiv - AI · 4 min ·
[2505.19807] Density Ratio-Free Doubly Robust Proxy Causal Learning

[2505.19807] Density Ratio-Free Doubly Robust Proxy Causal Learning

Abstract page for arXiv paper 2505.19807: Density Ratio-Free Doubly Robust Proxy Causal Learning

arXiv - Machine Learning · 3 min ·
[2603.25646] A Mentalistic Interface for Probing Folk-Psychological Attribution to Non-Humanoid Robots
Llms

[2603.25646] A Mentalistic Interface for Probing Folk-Psychological Attribution to Non-Humanoid Robots

Abstract page for arXiv paper 2603.25646: A Mentalistic Interface for Probing Folk-Psychological Attribution to Non-Humanoid Robots

arXiv - AI · 3 min ·
[2504.11118] Revealing Human Attention Patterns from Gameplay Analysis for Reinforcement Learning
Nlp

[2504.11118] Revealing Human Attention Patterns from Gameplay Analysis for Reinforcement Learning

Abstract page for arXiv paper 2504.11118: Revealing Human Attention Patterns from Gameplay Analysis for Reinforcement Learning

arXiv - Machine Learning · 4 min ·
[2503.08371] Density Ratio-based Proxy Causal Learning Without Density Ratios

[2503.08371] Density Ratio-based Proxy Causal Learning Without Density Ratios

Abstract page for arXiv paper 2503.08371: Density Ratio-based Proxy Causal Learning Without Density Ratios

arXiv - Machine Learning · 4 min ·
[2411.18195] Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees using Lorenz Dominance

[2411.18195] Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees using Lorenz Dominance

Abstract page for arXiv paper 2411.18195: Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees using Lorenz Dominance

arXiv - Machine Learning · 4 min ·
[2603.25624] Visual or Textual: Effects of Explanation Format and Personal Characteristics on the Perception of Explanations in an Educational Recommender System

[2603.25624] Visual or Textual: Effects of Explanation Format and Personal Characteristics on the Perception of Explanations in an Educational Recommender System

Abstract page for arXiv paper 2603.25624: Visual or Textual: Effects of Explanation Format and Personal Characteristics on the Perception...

arXiv - AI · 4 min ·
[2411.17501] The Limits of Inference Scaling Through Resampling
Machine Learning

[2411.17501] The Limits of Inference Scaling Through Resampling

Abstract page for arXiv paper 2411.17501: The Limits of Inference Scaling Through Resampling

arXiv - AI · 4 min ·
[2603.25613] Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verification
Llms

[2603.25613] Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verification

Abstract page for arXiv paper 2603.25613: Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verif...

arXiv - AI · 4 min ·
[2410.21764] Adaptive Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Learning
Machine Learning

[2410.21764] Adaptive Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Learning

Abstract page for arXiv paper 2410.21764: Adaptive Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Learning

arXiv - AI · 4 min ·