All Articles
16740 articles total
Beyond grep: The case for a context-rich AI coding harness
Vinay Perneti of Augment Code discusses the necessity of context-rich AI harnesses to improve coding assistants beyond simple pattern matching.
Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective
This research evaluates Heterogeneous Graph Neural Networks (HGNNs), finding that performance gains are primarily driven by heterogeneous information increasing homophily rather than model architecture complexity.
Analysing Moral Bias in Finetuned LLMs through Mechanistic Interpretability
Researchers use mechanistic interpretability and layer-patching to localize and eliminate moral biases (specifically the Knobe effect) in finetuned LLMs without retraining.
Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment
NeuroSymLand is introduced as a neuro-symbolic framework that separates perception-driven world modeling from logic-based reasoning for safer UAV landing site assessment.
DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone
DiffuMamba introduces a masked diffusion language model using a Mamba backbone to achieve linear-time sequence modeling and significantly higher inference throughput than Transformers.
3D Motion Perception of Binocular Vision Target with PID-CNN
A study on using a small PID-based Convolutional Neural Network (PID-CNN) for real-time 3D motion perception and target tracking in binocular vision systems.
Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length
The Latency-Response Theory (LaRT) model is proposed to evaluate LLMs by jointly modeling response accuracy and Chain-of-Thought length for better latent ability estimation.
GitHub's 2FA is to become mandatory on September 2, 2026
GitHub is making two-factor authentication (2FA) mandatory for all users by September 2, 2026.
AliExpress fined almost $630 million over illegal product sales
AliExpress was fined approximately $630 million by the European Commission for violating the Digital Services Act by failing to block illegal and unsafe products.
A Scaffolded GenAI Lab in Early Undergraduate CS: A Mixed-Methods, Multi-Course Evaluation
A study evaluates 'AI-Lab', a literacy intervention for early undergraduate CS students to promote responsible and learning-oriented use of Generative AI.
SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training
SLAC is introduced as a method for real-robot reinforcement learning that uses unsupervised simulation pre-training to create a safe, task-agnostic latent action space.
A Bit of Freedom Goes a Long Way: Classical and Quantum Algorithms for Reinforcement Learning under a Generative Model
The paper proposes new classical and quantum algorithms for reinforcement learning that break the classical regret bound barrier using a generative model simulator.
Acoustic Imaging for UAV Detection: Dense Beamformed Energy Maps and U-Net SELD
A new U-net based approach for 360-degree acoustic source localization is presented, treating UAV detection as a spherical semantic segmentation task.
Unsupervised Deep Learning for Inverse Problems in Computed Tomography
An unsupervised deep learning framework is proposed for Computed Tomography (CT) reconstruction, achieving significant speed-ups over per-image optimization methods.
Latent Fusion Jailbreak: Blending Harmful and Harmless Representations to Elicit Unsafe LLM Outputs
Latent Fusion Jailbreak (LFJ) is a white-box attack that manipulates internal LLM representations to elicit unsafe outputs with high success rates.
Poison to Detect: Detection of Targeted Overfitting in Federated Learning
The paper proposes three detection techniques to identify targeted overfitting attacks by dishonest orchestrators in Federated Learning systems.
A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream
A systematic study evaluates the integration of LLMs with PDDLStream for task and motion planning in robotics, finding LLM-based planners often underperform compared to engineered systems.
What does the Riemann zeta function have to do with the distribution of primes?
A discussion on the relationship between the Riemann zeta function and the distribution of prime numbers.
Airbus Takes Flight from AWS
Airbus is moving its infrastructure away from Amazon Web Services (AWS).
Towards a General Intelligence and Interface for Wearable Health Data
Researchers propose a foundation model for wearable health data pretrained on one trillion minutes of sensor signals from five million participants to provide personalized health insights.