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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
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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
