All Articles
63 entriesDeep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning Models
Do AI Agents Know When a Task Is Simple? Toward Complexity-Aware Reasoning and Execution
Metacognition in LLMs: Foundations, Progress, and Opportunities
VEXAIoT: Autonomous IoT Vulnerability EXploitation using AI Agents
OpenCoF: Learning to Reason Through Video Generation
Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows
UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks
From Noisy Traces to Root Causes: Structural Trajectory Analysis and Causal Extraction for Agent Optimization
RSF-GLLM: Bridging the Semantic Gap in Multi-Hop Knowledge Graph QA via Recurrent Soft-Flow and Decoupled LLM Generation
Weak-to-Strong Generalization via Direct On-Policy Distillation
What LLM Agents Say When No One Is Watching: Social Structure and Latent Objective Emergence in Multi-Agent Debates
ReContext: Recursive Evidence Replay as LLM Harness for Long-Context Reasoning
Distributed Attacks in Persistent-State AI Control
Online Safety Monitoring for LLMs
Measuring the Gap Between Human and LLM Research Ideas
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents
Self-Evolving World Models for LLM Agent Planning
When are likely answers right? On Sequence Probability and Correctness in LLMs
Reinforcement Learning without Ground-Truth Solutions can Improve LLMs
Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents
Sovereign Execution Brokers: Enforcing Certificate-Bound Authority in Agentic Control Planes
StylisticBias: A Few Human Visual Cues Drive Most Social Biases in MLLMs
LedgerAgent: Structured State for Policy-Adherent Tool-Calling Agents
How Transparent is DiffusionGemma?
Learning User Simulators with Turing Rewards
Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers
The Value Axis: Language Models Encode Whether They're on the Right Track
ClinHallu: A Benchmark for Diagnosing Stage-Wise Hallucinations in Medical MLLM Reasoning
Agents-K1: Towards Agent-native Knowledge Orchestration
Learning to Reason by Analogy via Retrieval-Augmented Reinforcement Fine-Tuning
EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments
A Unifying Lens on Supervised Fine-Tuning Through Target Distribution Design
Rethinking the Divergence Regularization in LLM RL
How reliable are LLMs when it comes to playing dice?
Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution
RREDCoT: Segment-Level Reward Redistribution for Reasoning Models
Streaming Communication in Multi-Agent Reasoning
Skill-RM: Unifying Heterogeneous Evaluation Criteria via Agent Skill
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.