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Where, What, Why: Toward Explainable 3D-GS Watermarking
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VisionCreator-R1: A Reflection-Enhanced Native Visual-Generation Agentic Model
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Scale-Plan: Scalable Language-Enabled Task Planning for Heterogeneous Multi-Robot Teams
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Training Language Models via Neural Cellular Automata
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Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage
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Fish Audio S2 Technical Report
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SoftJAX & SoftTorch: Empowering Automatic Differentiation Libraries with Informative Gradients
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Are Expressive Encoders Necessary for Discrete Graph Generation?
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Computer Vision-Based Vehicle Allotment System using Perspective Mapping
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MASEval: Extending Multi-Agent Evaluation from Models to Systems
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A Lightweight Multi-Cancer Tumor Localization Framework for Deployable Digital Pathology
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HECTOR: Hybrid Editable Compositional Object References for Video Generation
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SBOMs into Agentic AIBOMs: Schema Extensions, Agentic Orchestration, and Reproducibility Evaluation
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LDP: An Identity-Aware Protocol for Multi-Agent LLM Systems
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Unpacking Interpretability: Human-Centered Criteria for Optimal Combinatorial Solutions
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Expressivity-Efficiency Tradeoffs for Hybrid Sequence Models
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APPLV: Adaptive Planner Parameter Learning from Vision-Language-Action Model
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Why Channel-Centric Models are not Enough to Predict End-to-End Performance in Private 5G: A Measurement Campaign and Case Study
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One Language, Two Scripts: Probing Script-Invariance in LLM Concept Representations
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Quantifying the Accuracy and Cost Impact of Design Decisions in Budget-Constrained Agentic LLM Search
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MultiGraSCCo: A Multilingual Anonymization Benchmark with Annotations of Personal Identifiers
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From Word2Vec to Transformers: Text-Derived Composition Embeddings for Filtering Combinatorial Electrocatalysts
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Comparative Analysis of Patch Attack on VLM-Based Autonomous Driving Architectures
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Towards Visual Query Segmentation in the Wild
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ConFu: Contemplate the Future for Better Speculative Sampling
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A New Modeling to Feature Selection Based on the Fuzzy Rough Set Theory in Normal and Optimistic States on Hybrid Information Systems
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NetDiffuser: Deceiving DNN-Based Network Attack Detection Systems with Diffusion-Generated Adversarial Traffic
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Multi-Kernel Gated Decoder Adapters for Robust Multi-Task Thyroid Ultrasound under Cross-Center Shift
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Cross-Domain Uncertainty Quantification for Selective Prediction: A Comprehensive Bound Ablation with Transfer-Informed Betting
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SciTaRC: Benchmarking QA on Scientific Tabular Data that Requires Language Reasoning and Complex Computation
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FedLECC: Cluster- and Loss-Guided Client Selection for Federated Learning under Non-IID Data
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Quantifying Memorization and Privacy Risks in Genomic Language Models
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Uncovering a Winning Lottery Ticket with Continuously Relaxed Bernoulli Gates
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Vision-Language Models Encode Clinical Guidelines for Concept-Based Medical Reasoning
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Tool Receipts, Not Zero-Knowledge Proofs: Practical Hallucination Detection for AI Agents
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Quantifying Uncertainty in AI Visibility: A Statistical Framework for Generative Search Measurement
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MEGC2026: Micro-Expression Grand Challenge on Visual Question Answering
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TIDE: Text-Informed Dynamic Extrapolation with Step-Aware Temperature Control for Diffusion Transformers
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Using Vision Language Foundation Models to Generate Plant Simulation Configurations via In-Context Learning
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Optimizing Reinforcement Learning Training over Digital Twin Enabled Multi-fidelity Networks
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Interpretable Markov-Based Spatiotemporal Risk Surfaces for Missing-Child Search Planning with Reinforcement Learning and LLM-Based Quality Assurance
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PathoScribe: Transforming Pathology Data into a Living Library with a Unified LLM-Driven Framework for Semantic Retrieval and Clinical Integration
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VoxEmo: Benchmarking Speech Emotion Recognition with Speech LLMs
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Multi-Agent Memory from a Computer Architecture Perspective: Visions and Challenges Ahead
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BiCLIP: Domain Canonicalization via Structured Geometric Transformation
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Kernel Debiased Plug-in Estimation based on the Universal Least Favorable Submodel
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Towards Reliable Simulation-based Inference
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A Consensus-Driven Multi-LLM Pipeline for Missing-Person Investigations
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A Survey of Reinforcement Learning For Economics
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Automated Tensor-Relational Decomposition for Large-Scale Sparse Tensor Computation
