All Articles
17020 articles total
Explainable-by-Design Audio Deepfake Detection via Wiener-Hopf Linear Prediction
An explainable audio deepfake detection framework using Wiener-Hopf linear prediction and a lightweight CNN.
Multi-Perspective Agentic Program Repair via Code Property Graphs and Temporal Execution Graphs
CT-Repair is an agentic program repair framework using Code Property Graphs and Temporal Execution Graphs to fix Java bugs.
Can Induced Emotion Bias LLM Behaviors in Sequential Decision Making?
Study on how induced emotion affects LLM sequential decision-making using the Iowa Gambling Task.
New era for Gibraltar with removal of border controls with Spain
Discussion regarding the removal of border controls between Gibraltar and Spain.
Neverclick: Desktop application for performing mouse actions with your keyboard
Neverclick is a desktop application that allows users to perform mouse actions using their keyboard.
A SpaceX vet raised $65M to pull wire harnesses out of the Cold War era
A SpaceX veteran has raised $65M to modernize wire harness manufacturing for rockets and satellites.
Samsung’s new foldable display is harder to crease and damage
Samsung introduces Flex Titanium display technology for foldables to reduce creasing and improve durability.
IQA-T1: Tool-based Visual Evidence Reasoning for Image Quality Assessment
IQA-T1 is a tool-based reasoning framework for Image Quality Assessment that uses specialized analysis tools to provide interpretable visual evidence.
Demonstration of the common dual-channel feature decoupling characteristic of front-door mediation causal inference methods in whole-slice image classification
Research proposing a dual-channel feature decoupling characteristic to improve causal inference in whole-slice image classification for digital pathology.
ARDepth: Auto-regressive Monocular Depth Estimation with Progressive Visual Conditioning
ARDepth is a new auto-regressive monocular depth estimation model that progressively constructs depth representations across spatial scales.
The Computational Basis of Confidence in Large Language Models
A study exploring the computational basis of confidence in LLMs, finding that answer logits often behave as readouts of a latent decision variable.
An Omnilingual-ASR-Based Speech-LLM System for the 2nd MLC-SLM Challenge
An omnilingual ASR-based speech LLM system using a cascaded diarization-then-recognition approach for the 2nd MLC-SLM Challenge.
Agent-Safety Evaluations as Load-Bearing Evidence: A Vendor-Neutral, Cross-Harness Reconstructability Metric
Proposal of a vendor-neutral reconstructability metric to evaluate the validity and evidence sufficiency of agent-safety evaluations.
Spotify’s Daniel Ek is bringing his body-scanning clinics to the US
Spotify founder Daniel Ek is launching Neko Health, a body-scanning clinic startup, in the US, starting with New York.
The PS6 sure sounds like a handheld
Speculation regarding the PS6 suggests it may be a handheld device, following hints from a Sony investor meeting and the phase-out of physical discs.
Track, Rank, Crack: Epistemic Working Memory Scales Multi-Hop Reasoning in Language Agents
Researchers introduce SLEUTH, a framework using structured epistemic working memory to improve multi-hop reasoning in language agents.
Code-MUE: Measuring Code LLMs' Uncertainty through Execution-based Semantic Interaction Graphs
Code-MUE is a black-box framework that measures Code LLM uncertainty by analyzing execution-based Semantic Interaction Graphs.
The Sound of Absence: Audio-Language Embedding Models Struggle with Negation
Study reveals that audio-language embedding models struggle with negation, proposing the NegEval-Audio framework to address this gap.
A Longitudinal Analysis of Public Discourse on AI Ethics in Education Using Twitter Data
A five-year longitudinal analysis of Twitter data shows pragmatic public acceptance of AI in education, though concerns about academic integrity persist.
A Comparative Analysis of Institutional and Course Generative AI Policies within Higher Education: Implications for Instruction in Computing Education
Comparison of AI policies in higher education shows that institutional guidelines are generally more permissive than course-level implementation.