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NANOZK: Layerwise Zero-Knowledge Proofs for Verifiable Large Language Model Inference
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RepoReviewer: A Local-First Multi-Agent Architecture for Repository-Level Code Review
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VIGIL: Towards Edge-Extended Agentic AI for Enterprise IT Support
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ASDA: Automated Skill Distillation and Adaptation for Financial Reasoning
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PathGLS: Evaluating Pathology Vision-Language Models without Ground Truth through Multi-Dimensional Consistency
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Adversarial attacks against Modern Vision-Language Models
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Language Models Don't Know What You Want: Evaluating Personalization in Deep Research Needs Real Users
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Out-of-Distribution Object Detection in Street Scenes via Synthetic Outlier Exposure and Transfer Learning
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Functorial Neural Architectures from Higher Inductive Types
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SWE-QA-Pro: A Representative Benchmark and Scalable Training Recipe for Repository-Level Code Understanding
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Pre-training LLM without Learning Rate Decay Enhances Supervised Fine-Tuning
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Social Simulacra in the Wild: AI Agent Communities on Moltbook
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Boosting Quantitive and Spatial Awareness for Zero-Shot Object Counting
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EPOFusion: Exposure aware Progressive Optimization Method for Infrared and Visible Image Fusion
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SciZoom: A Large-scale Benchmark for Hierarchical Scientific Summarization across the LLM Era
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DualPrim: Compact 3D Reconstruction with Positive and Negative Primitives
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When Generative Augmentation Hurts: A Benchmark Study of GAN and Diffusion Models for Bias Correction in AI Classification Systems
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SIA: A Synthesize-Inject-Align Framework for Knowledge-Grounded and Secure E-commerce Search LLMs with Industrial Deployment
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Answer Bubbles: Information Exposure in AI-Mediated Search
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Rethinking UMM Visual Generation: Masked Modeling for Efficient Image-Only Pre-training
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Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards
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Communication-Aware Multi-Agent Reinforcement Learning for Decentralized Cooperative UAV Deployment
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Parametric Social Identity Injection and Diversification in Public Opinion Simulation
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Structure-Aware Multimodal LLM Framework for Trustworthy Near-Field Beam Prediction
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Deep Adaptive Model-Based Design of Experiments
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NeuronSpark: A Spiking Neural Network Language Model with Selective State Space Dynamics
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EFF-Grasp: Energy-Field Flow Matching for Physics-Aware Dexterous Grasp Generation
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HIPO: Instruction Hierarchy via Constrained Reinforcement Learning
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GATS: Gaussian Aware Temporal Scaling Transformer for Invariant 4D Spatio-Temporal Point Cloud Representation
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DyJR: Preserving Diversity in Reinforcement Learning with Verifiable Rewards via Dynamic Jensen-Shannon Replay
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Execution-Grounded Credit Assignment for GRPO in Code Generation
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AI-Generated Figures in Academic Publishing: Policies, Tools, and Practical Guidelines
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Segmentation-before-Staining Improves Structural Fidelity in Virtual IHC-to-Multiplex IF Translation
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SQL-ASTRA: Alleviating Sparse Feedback in Agentic SQL via Column-Set Matching and Trajectory Aggregation
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STARK: Spatio-Temporal Attention for Representation of Keypoints for Continuous Sign Language Recognition
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Homogeneous and Heterogeneous Consistency progressive Re-ranking for Visible-Infrared Person Re-identification
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Topology-Guided Biomechanical Profiling: A White-Box Framework for Opportunistic Screening of Spinal Instability on Routine CT
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SignNav: Leveraging Signage for Semantic Visual Navigation in Large-Scale Indoor Environments
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Open-Source Reproduction and Explainability Analysis of Corrective Retrieval Augmented Generation
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MemX: A Local-First Long-Term Memory System for AI Assistants
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The Finetuner's Fallacy: When to Pretrain with Your Finetuning Data
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360° Image Perception with MLLMs: A Comprehensive Benchmark and a Training-Free Method
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KidsNanny: A Two-Stage Multimodal Content Moderation Pipeline Integrating Visual Classification, Object Detection, OCR, and Contextual Reasoning for Child Safety
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Polyglot-Lion: Efficient Multilingual ASR for Singapore via Balanced Fine-Tuning of Qwen3-ASR
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A General Deep Learning Framework for Wireless Resource Allocation under Discrete Constraints
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Sample-Efficient Adaptation of Drug-Response Models to Patient Tumors under Strong Biological Domain Shift
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ECHO: Edge-Cloud Humanoid Orchestration for Language-to-Motion Control
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Reliable Reasoning in SVG-LLMs via Multi-Task Multi-Reward Reinforcement Learning
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Structured Semantic Cloaking for Jailbreak Attacks on Large Language Models
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S-VAM: Shortcut Video-Action Model by Self-Distilling Geometric and Semantic Foresight
