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A Modular Vision-Language-Action Robotics Framework for Indoor Environments
Better Understanding, Understanding Better
Bridging Local Observation and Global Simulation in Closed-Loop Traffic Modeling
Breaking Failure Cascades: Step-Aware Reinforcement Learning for Medical Multimodal Reaso…
CHERRY: Compressed Hierarchical Experts with Recurrent Representational Yield
JL1-CC&QA: Extending the JL1-CD Benchmark with Change Captioning and Question Answering
Cross-lingual Relation Extraction with Large Language Models: Zero-Shot, Few-Shot, and Fi…
DPPE: Rethinking Camera-Based Positional Encoding for Scaling Multi-View Transformers
Mitigating Positional Leakage in 3D Masked Autoencoders for Robust Representation Learning
CVE-TTP KG: Knowledge Graph Linking Software Vulnerabilities to Attack Behaviors
On the Convergence of Self-Improving Online LLM Alignment
Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets
Intrinsic decomposition and editing of 3D Gaussian splats
Loc2Repair: A Framework for Evaluating the Impact of File-Level Issue Localization in Rep…
Motion Planning in Compressed Representation Spaces
Budget-Adaptive Routing: Skipping the Weak When the Strong Answers Anyway
Curvature-Guided Module Localization for Low-Rank Detoxification of Backdoored Large Lang…
A Stationary-Distribution Theory for Triplet-Based Plateau Search in Random Forest Ensemb…
Listening Between the Lines: Joint Learning of ASR Embeddings and LLM-Augmented Linguisti…
When Reranking Hurts: Uncertainty-Based Gating for Few-Shot Reranking
AI-Generated PowerShell Malware: An Experimental Framework and Dataset
Gradient Smoothing: Coupling Layer-wise Updates for Improved Optimization
Security--Fidelity Tradeoffs: The Hidden Cost of Prompt Injection Defense
Hierarchical Global Attention (HGA)
An AI-Based Solution for Secure Service Provisioning in IoT
BEST-RQ-2: Contextualize-Then-Predict, a Two-Step Approach for Self-Supervised Audio Repr…
Modeling Cell-Cycle-Aware Single-Cell Drug Perturbation Responses
A Coherence Law for Trainability in Noisy Equivariant Quantum Neural Networks
Position: Vision-Language-Action Models Cannot Be Verified to Perform Physical Reasoning