Why Human Guidance Matters in Collaborative Vibe Coding
Why Human Guidance Matters in Collaborative Vibe Coding
Why Human Guidance Matters in Collaborative Vibe Coding
Driving Reaction Trajectories via Latent Flow Matching
Protecting Context and Prompts: Deterministic Security for Non-Deterministic AI
Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation
Low-Dimensional Execution Manifolds in Transformer Learning Dynamics: Evidence from Modular Arithmetic Tasks
Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation
1%>100%: High-Efficiency Visual Adapter with Complex Linear Projection Optimization
Co-jump: Cooperative Jumping with Quadrupedal Robots via Multi-Agent Reinforcement Learning
LHAW: Controllable Underspecification for Long-Horizon Tasks
AI-PACE: A Framework for Integrating AI into Medical Education
A Swap-Adversarial Framework for Improving Domain Generalization in Electroencephalography-Based Parkinson's Disease Prediction
$\mu$pscaling small models: Principled warm starts and hyperparameter transfer
RealHD: A High-Quality Dataset for Robust Detection of State-of-the-Art AI-Generated Images
Enhancing Weakly Supervised Multimodal Video Anomaly Detection through Text Guidance
C^2ROPE: Causal Continuous Rotary Positional Encoding for 3D Large Multimodal-Models Reasoning
Contrastive Learning for Multi Label ECG Classification with Jaccard Score Based Sigmoid Loss
LAP: Language-Action Pre-Training Enables Zero-shot Cross-Embodiment Transfer
When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning
MetaphorStar: Image Metaphor Understanding and Reasoning with End-to-End Visual Reinforcement Learning
LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization
Neural Additive Experts: Context-Gated Experts for Controllable Model Additivity
Step 3.5 Flash: Open Frontier-Level Intelligence with 11B Active Parameters
Hierarchical Zero-Order Optimization for Deep Neural Networks
Online Causal Kalman Filtering for Stable and Effective Policy Optimization
Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling
A Vision-Language Foundation Model for Zero-shot Clinical Collaboration and Automated Concept Discovery in Dermatology
The Neurosymbolic Frontier of Nonuniform Ellipticity: Formalizing Sharp Schauder Theory via Topos-Theoretic Reasoning Models
TwiFF (Think With Future Frames): A Large-Scale Dataset for Dynamic Visual Reasoning
OmniVL-Guard: Towards Unified Vision-Language Forgery Detection and Grounding via Balanced RL
VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training
AugVLA-3D: Depth-Driven Feature Augmentation for Vision-Language-Action Models
Interpretable Graph-Level Anomaly Detection via Contrast with Normal Prototypes
Cross-Sectional Asset Retrieval via Future-Aligned Soft Contrastive Learning
Locomo-Plus: Beyond-Factual Cognitive Memory Evaluation Framework for LLM Agents
A Diffusion-Based Generative Prior Approach to Sparse-view Computed Tomography
Calliope: A TTS-based Narrated E-book Creator Ensuring Exact Synchronization, Privacy, and Layout Fidelity
Self-Supervised Image Super-Resolution Quality Assessment based on Content-Free Multi-Model Oriented Representation Learning
SecureScan: An AI-Driven Multi-Layer Framework for Malware and Phishing Detection Using Logistic Regression and Threat Intelligence Integration
Exploring the impact of adaptive rewiring in Graph Neural Networks
LOREN: Low Rank-Based Code-Rate Adaptation in Neural Receivers
Kill it with FIRE: On Leveraging Latent Space Directions for Runtime Backdoor Mitigation in Deep Neural Networks
VulReaD: Knowledge-Graph-guided Software Vulnerability Reasoning and Detection
Transport, Don't Generate: Deterministic Geometric Flows for Combinatorial Optimization
RSHallu: Dual-Mode Hallucination Evaluation for Remote-Sensing Multimodal Large Language Models with Domain-Tailored Mitigation
PELLI: Framework to effectively integrate LLMs for quality software generation
Beyond Confidence: The Rhythms of Reasoning in Generative Models
Flow caching for autoregressive video generation
Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval
Time Series Foundation Models for Energy Load Forecasting on Consumer Hardware: A Multi-Dimensional Zero-Shot Benchmark
ICA: Information-Aware Credit Assignment for Visually Grounded Long-Horizon Information-Seeking Agents