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[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 ·
[2603.25607] DeepFAN, a transformer-based deep learning model for human-artificial intelligence collaborative assessment of incidental pulmonary nodules in CT scans: a multi-reader, multi-case trial
Machine Learning

[2603.25607] DeepFAN, a transformer-based deep learning model for human-artificial intelligence collaborative assessment of incidental pulmonary nodules in CT scans: a multi-reader, multi-case trial

Abstract page for arXiv paper 2603.25607: DeepFAN, a transformer-based deep learning model for human-artificial intelligence collaborativ...

arXiv - AI · 4 min ·
[2408.05696] SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction
Llms

[2408.05696] SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction

Abstract page for arXiv paper 2408.05696: SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction

arXiv - Machine Learning · 4 min ·
[2603.25570] TAAC: A gate into Trustable Audio Affective Computing

[2603.25570] TAAC: A gate into Trustable Audio Affective Computing

Abstract page for arXiv paper 2603.25570: TAAC: A gate into Trustable Audio Affective Computing

arXiv - AI · 4 min ·
[2603.25568] Are LLMs Overkill for Databases?: A Study on the Finiteness of SQL
Llms

[2603.25568] Are LLMs Overkill for Databases?: A Study on the Finiteness of SQL

Abstract page for arXiv paper 2603.25568: Are LLMs Overkill for Databases?: A Study on the Finiteness of SQL

arXiv - AI · 3 min ·
[2403.04545] Branch Scaling Manifests as Implicit Architectural Regularization for Improving Generalization in Overparameterized ResNets
Machine Learning

[2403.04545] Branch Scaling Manifests as Implicit Architectural Regularization for Improving Generalization in Overparameterized ResNets

Abstract page for arXiv paper 2403.04545: Branch Scaling Manifests as Implicit Architectural Regularization for Improving Generalization ...

arXiv - Machine Learning · 3 min ·
[2603.25524] CHIRP dataset: towards long-term, individual-level, behavioral monitoring of bird populations in the wild
Computer Vision

[2603.25524] CHIRP dataset: towards long-term, individual-level, behavioral monitoring of bird populations in the wild

Abstract page for arXiv paper 2603.25524: CHIRP dataset: towards long-term, individual-level, behavioral monitoring of bird populations i...

arXiv - AI · 4 min ·
[2401.12546] On Building Myopic MPC Policies using Supervised Learning
Machine Learning

[2401.12546] On Building Myopic MPC Policies using Supervised Learning

Abstract page for arXiv paper 2401.12546: On Building Myopic MPC Policies using Supervised Learning

arXiv - Machine Learning · 4 min ·
[2110.11736] MANDERA: Malicious Node Detection in Federated Learning via Ranking
Ai Infrastructure

[2110.11736] MANDERA: Malicious Node Detection in Federated Learning via Ranking

Abstract page for arXiv paper 2110.11736: MANDERA: Malicious Node Detection in Federated Learning via Ranking

arXiv - Machine Learning · 4 min ·
[2603.25740] Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving
Machine Learning

[2603.25740] Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving

Abstract page for arXiv paper 2603.25740: Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving

arXiv - AI · 4 min ·
[2603.25722] No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degrading Zero-shot Capabilities of Contrastive Models
Machine Learning

[2603.25722] No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degrading Zero-shot Capabilities of Contrastive Models

Abstract page for arXiv paper 2603.25722: No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degradin...

arXiv - Machine Learning · 4 min ·
[2603.25638] Beyond Via: Analysis and Estimation of the Impact of Large Language Models in Academic Papers
Llms

[2603.25638] Beyond Via: Analysis and Estimation of the Impact of Large Language Models in Academic Papers

Abstract page for arXiv paper 2603.25638: Beyond Via: Analysis and Estimation of the Impact of Large Language Models in Academic Papers

arXiv - AI · 3 min ·
[2603.25462] Temporally Decoupled Diffusion Planning for Autonomous Driving
Machine Learning

[2603.25462] Temporally Decoupled Diffusion Planning for Autonomous Driving

Abstract page for arXiv paper 2603.25462: Temporally Decoupled Diffusion Planning for Autonomous Driving

arXiv - AI · 3 min ·