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3D tomography of exchange phase in a Si/SiGe quantum dot device
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Residual Stream Duality in Modern Transformer Architectures
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Power Analysis for Prediction-Powered Inference
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Shuffling the Stochastic Mirror Descent via Dual Lipschitz Continuity and Kernel Conditioning
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Collaborative Temporal Feature Generation via Critic-Free Reinforcement Learning for Cross-User Sensor-Based Activity Recognition
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Enhancing Linguistic Generalization of VLA: Fine-Tuning OpenVLA via Synthetic Instruction Augmentation
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POaaS: Minimal-Edit Prompt Optimization as a Service to Lift Accuracy and Cut Hallucinations on On-Device sLLMs
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The Era of End-to-End Autonomy: Transitioning from Rule-Based Driving to Large Driving Models
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A Context Alignment Pre-processor for Enhancing the Coherence of Human-LLM Dialog
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ARISE: Agent Reasoning with Intrinsic Skill Evolution in Hierarchical Reinforcement Learning
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Safe Distributionally Robust Feature Selection under Covariate Shift
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ViT-AdaLA: Adapting Vision Transformers with Linear Attention
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Large Reward Models: Generalizable Online Robot Reward Generation with Vision-Language Models
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Adaptive regularization parameter selection for high-dimensional inverse problems: A Bayesian approach with Tucker low-rank constraints
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Attribution Upsampling should Redistribute, Not Interpolate
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Resource Consumption Threats in Large Language Models
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PhysQuantAgent: An Inference Pipeline of Mass Estimation for Vision-Language Models
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SEAHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Southeast Asia
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ClaimFlow: Tracing the Evolution of Scientific Claims in NLP
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MDM-Prime-v2: Binary Encoding and Index Shuffling Enable Compute-optimal Scaling of Diffusion Language Models
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Volumetrically Consistent Implicit Atlas Learning via Neural Diffeomorphic Flow for Placenta MRI
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A Depth-Aware Comparative Study of Euclidean and Hyperbolic Graph Neural Networks on Bitcoin Transaction Systems
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Structured prototype regularization for synthetic-to-real driving scene parsing
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Prompt-tuning with Attribute Guidance for Low-resource Entity Matching
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Interact3D: Compositional 3D Generation of Interactive Objects
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Towards the Vision-Sound-Language-Action Paradigm: The HEAR Framework for Sound-Centric Manipulation
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RecBundle: A Next-Generation Geometric Paradigm for Explainable Recommender Systems
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CounterRefine: Answer-Conditioned Counterevidence Retrieval for Inference-Time Knowledge Repair in Factual Question Answering
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Parallel In-context Learning for Large Vision Language Models
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Diffusion Models for Joint Audio-Video Generation
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LICA: Layered Image Composition Annotations for Graphic Design Research
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OneWorld: Taming Scene Generation with 3D Unified Representation Autoencoder
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Reevaluating the Intra-Modal Misalignment Hypothesis in CLIP
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NanoGS: Training-Free Gaussian Splat Simplification
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Efficient LLM Serving for Agentic Workflows: A Data Systems Perspective
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Frequency Matters: Fast Model-Agnostic Data Curation for Pruning and Quantization
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Machine intelligence supports the full chain of 2D dendrite synthesis
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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
