This study investigates how pre-trained code models internally represent programming types by probing their hidden states across different programming languages.
Researchers have developed a content protection method that exploits context compression to prevent LLM-based web crawlers from scraping online information.
Researchers propose a hierarchical framework that utilizes a centralized large language model for strategic planning to coordinate specialized reinforcement learning policies in multi-agent environments.
VEGAS is a training-free evaluation metric that uses viewer gaze data to measure how well generated video captions align with human visual attention.
CriterAlign is a criterion-centric evaluation framework designed to improve pairwise code preference judging by aligning rationales across specific criteria.
This study introduces a self-validating framework to analyze and mitigate safety hazards and hallucinations in LLM-assisted safety engineering tools.
Ant Group's embodied AI division has released new spatial perception and vision models designed to help robots accurately detect transparent and reflective objects like glass.
QbitAI has issued an invitation for readers to join their live broadcasts and explore the World Artificial Intelligence Conference 2026.
An Ivy League professor's decision to mandate an in-person exam due to concerns over AI-assisted cheating resulted in a fifty percent drop in student test scores.
The newly introduced IdeaGene-Bench evaluates the ability of artificial intelligence systems to trace scientific lineages and generate new ideas based on existing research.
Researchers developed HCC-STAR, a specialized large language model designed to analyze electronic medical records for liver cancer risk stratification and treatment recommendations.
ZendoWorld is a new interactive environment designed to test how well AI agents can perceive visual inputs, form hypotheses, and design experiments to infer hidden rules.
Neural Harmonic Textures are introduced to enhance the expressivity of primitive-based 3D reconstruction methods like Gaussian Splatting for high-frequency details.
Self-EvolveRec uses large language models to provide qualitative feedback for automatically evolving and optimizing recommender system architectures.
This paper demonstrates that evaluating zero-shot text-to-speech systems using automatic speech recognition verifiers is biased by the specific model family used for judgment.
This paper outlines a strategic vision for developing energy-efficient, domain-specific artificial intelligence models to mitigate the high power consumption of general-purpose large language models.
Researchers proposed a self-adaptive anomaly detection system for connected vehicles that uses reinforcement learning and human feedback to adjust to system updates and changing workloads.
Major Chinese stock indexes fell sharply in afternoon trading, with computing hardware and semiconductor chip sectors leading the decline.
Amazon Web Services has published a guide detailing practical context engineering approaches to optimize Model Context Protocol tool design.
Tencent has released Hunyuan Hy3, a Mixture of Experts reasoning model featuring 295 billion parameters and a 256K context window, which has been integrated across several of its products.
BYD's premium brand Denza has officially unveiled the Denza N8, a luxury electric SUV featuring its second-generation blade battery and fast-charging technology.
Hugging Face has launched a one-click integration with Amazon SageMaker Studio to streamline the deployment and training of machine learning models.
Researchers have developed CodeTracer, a forensic framework designed to detect and trace malicious backdoor attacks in large language model code completion systems.
This study analyzes practitioner perspectives to build a causal theory regarding how AI coding agents affect the process and outcomes of code reviews.