Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward Modeling

Stateful Online Monitoring Catches Distributed Agent Attacks

Efficient Test-Time Finetuning of LLMs via Convex Reconstruction and Gradient Caching

Unlocking the Working Memory of Large Language Models for Latent Reasoning

Physics Is All You Need? A Case Study in Physicist-Supervised AI Development of Scientific Software

PEFT-Arena: Understanding Parameter-Efficient Finetuning from a Stability-Plasticity Perspective

Self-Improving Language Models with Bidirectional Evolutionary Search

DeepSeek Sparse Attention: Engineering Efficiency at the 671B Scale

A technical deep dive into DeepSeek Sparse Attention (DSA) and Multi-Head Latent Attention (MLA)—the architectural breakthroughs powering DeepSeek-V3's unprecedented inference efficiency.

Agent Skills: Architecture, Acquisition, and the Path Forward

An authoritative exploration of Agent Skills: reusable, program-like modules that enable LLMs to evolve from static models to dynamic, skill-equipped architects.

From Evaluation to Design: Using Potential Energy Surface Smoothness Metrics to Guide Machine Learning Interatomic Potential Architectures

Beyond regression: How the Bond Smoothness Characterization Test (BSCT) ensures physical reliability in MLIPs for stable, long-scale molecular simulations.

SoMA: A Real-to-Sim Neural Simulator for Robotic Soft-body Manipulation

SoMA redefines soft-body robotics, bridging the real-to-sim gap with 3D Gaussian Splatting and unified latent dynamics for complex manipulation.

Keyframe-Based Feed-Forward Visual Odometry

Discover how Reinforcement Learning is revolutionizing spatial perception by bridging the gap between traditional geometry and Visual Foundation Models.

Probably Approximately Correct Maximum A Posteriori Inference

Rigorous guarantees meet probabilistic reasoning. Discover how PAC-MAP bridges the gap between intractable inference and provable optimality in AI.

RadJEPA: Radiology Encoder for Chest X-Rays via Joint Embedding Predictive Architecture

RadJEPA redefines medical vision by ditching language supervision for latent-space prediction, setting a new SOTA for chest X-ray analysis.

Explainable AI to Improve Machine Learning Reliability for Industrial Cyber-Physical Systems

Unlocking industrial reliability: How XAI uncovers hidden data dependencies to optimize ML performance in sensitive cyber-physical systems.

Implicit Neural Representation Facilitates Unified Universal Vision Encoding

A breakthrough in unified vision: bridging the gap between discriminative recognition and generative reconstruction through INR hyper-networks.

Context-Aware Semantic Segmentation via Stage-Wise Attention

CASWiT bridges the gap between global context and pixel-perfect detail in ultra-high resolution imaging, setting a new benchmark for remote sensing AI.

Image-Text Knowledge Modeling for Unsupervised Multi-Scenario Person Re-Identification

Pang et al. introduce ITKM, a three-stage framework revolutionizing unsupervised person Re-ID across diverse visual scenarios using CLIP-based knowledge modeling.

Language-Agnostic Visual Embeddings for Cross-Script Handwriting Retrieval

Unlocking cross-script handwriting retrieval with lightweight, language-agnostic AI. A technical deep dive into next-gen visual embeddings.

The Poisoned Apple Effect: Strategic Manipulation of Mediated Markets via Technology Expansion of AI Agents

A deep dive into The Poisoned Apple Effect: Strategic Manipulation of Mediated Markets via Technology Expansion of AI Agents and its implications for market design.

The Claude Code SDK: Architecting the Future of Agentic Engineering

An authoritative exploration of the shift from predictive autocomplete to autonomous system architects. Learn how the Claude Code SDK leverages reasoning-optimized models and the Model Context Protocol to build self-healing, agentic ecosystems.

AutoML, Vibecoding, and the Art of Actually Knowing What You're Doing

AutoML and AI coding agents are everywhere, but real engineers still hand-craft features and reason about systems. When should you vibe, and when should you go full nerd?

The Rise of Agentic AI: From Chatbots to Digital Coworkers

Why we're moving beyond simple 'prompt-response' loops and what it really feels like to build systems that can think, plan, and act.

Attention Is All You Need: A Retrospective

Revisiting the transformer architecture that started the generative AI revolution.