Machine Learning

How are people actually using OpenAI tools beyond the basics? (DFW)

Been using OpenAI models more lately and it feels like most people are still only scratching the surface. (Only asking questions) Beyond ...

UMKC Announces New Master of Science in Artificial Intelligence

UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...

Improving AI models’ ability to explain their predictions

[2604.04064] Extracting and Steering Emotion Representations in Small Language Models: A Methodological Comparison

Abstract page for arXiv paper 2604.04064: Extracting and Steering Emotion Representations in Small Language Models: A Methodological Comp...

[2604.04078] BAAI Cardiac Agent: An intelligent multimodal agent for automated reasoning and diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging

Abstract page for arXiv paper 2604.04078: BAAI Cardiac Agent: An intelligent multimodal agent for automated reasoning and diagnosis of ca...

[2604.04060] CoopGuard: Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Round Attacks

Abstract page for arXiv paper 2604.04060: CoopGuard: Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Round Attacks

[2604.03980] Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics

Abstract page for arXiv paper 2604.03980: Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics

[2604.03968] TraceGuard: Structured Multi-Dimensional Monitoring as a Collusion-Resistant Control Protocol

Abstract page for arXiv paper 2604.03968: TraceGuard: Structured Multi-Dimensional Monitoring as a Collusion-Resistant Control Protocol

[2604.03956] VLA-Forget: Vision-Language-Action Unlearning for Embodied Foundation Models

Abstract page for arXiv paper 2604.03956: VLA-Forget: Vision-Language-Action Unlearning for Embodied Foundation Models

[2604.03925] AdaptFuse: Training-Free Sequential Preference Learning via Externalized Bayesian Inference

Abstract page for arXiv paper 2604.03925: AdaptFuse: Training-Free Sequential Preference Learning via Externalized Bayesian Inference

[2604.03904] I-CALM: Incentivizing Confidence-Aware Abstention for LLM Hallucination Mitigation

Abstract page for arXiv paper 2604.03904: I-CALM: Incentivizing Confidence-Aware Abstention for LLM Hallucination Mitigation

[2604.03881] Enhancing behavioral nudges with large language model-based iterative personalization: A field experiment on electricity and hot-water conservation

Abstract page for arXiv paper 2604.03881: Enhancing behavioral nudges with large language model-based iterative personalization: A field ...

[2604.03814] InCaRPose: In-Cabin Relative Camera Pose Estimation Model and Dataset

Abstract page for arXiv paper 2604.03814: InCaRPose: In-Cabin Relative Camera Pose Estimation Model and Dataset

[2604.03774] When Does Multimodal AI Help? Diagnostic Complementarity of Vision-Language Models and CNNs for Spectrum Management in Satellite-Terrestrial Networks

Abstract page for arXiv paper 2604.03774: When Does Multimodal AI Help? Diagnostic Complementarity of Vision-Language Models and CNNs for...

[2604.03755] Can Humans Tell? A Dual-Axis Study of Human Perception of LLM-Generated News

Abstract page for arXiv paper 2604.03755: Can Humans Tell? A Dual-Axis Study of Human Perception of LLM-Generated News

[2604.03758] AutoReSpec: A Framework for Generating Specification using Large Language Models

Abstract page for arXiv paper 2604.03758: AutoReSpec: A Framework for Generating Specification using Large Language Models

[2604.03754] Testing the Limits of Truth Directions in LLMs

Abstract page for arXiv paper 2604.03754: Testing the Limits of Truth Directions in LLMs

[2604.03750] CREBench: Evaluating Large Language Models in Cryptographic Binary Reverse Engineering

Abstract page for arXiv paper 2604.03750: CREBench: Evaluating Large Language Models in Cryptographic Binary Reverse Engineering

[2604.03677] Unlocking Prompt Infilling Capability for Diffusion Language Models

Abstract page for arXiv paper 2604.03677: Unlocking Prompt Infilling Capability for Diffusion Language Models

[2604.03688] Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation

Abstract page for arXiv paper 2604.03688: Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommenda...

[2604.03672] AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals in Government Services

Abstract page for arXiv paper 2604.03672: AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals i...

[2604.03649] ART: Adaptive Relational Transformer for Pedestrian Trajectory Prediction with Temporal-Aware Relations

Abstract page for arXiv paper 2604.03649: ART: Adaptive Relational Transformer for Pedestrian Trajectory Prediction with Temporal-Aware R...

[2604.03647] Stabilizing Unsupervised Self-Evolution of MLLMs via Continuous Softened Retracing reSampling

Abstract page for arXiv paper 2604.03647: Stabilizing Unsupervised Self-Evolution of MLLMs via Continuous Softened Retracing reSampling