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No Single Metric Tells the Whole Story: A Multi-Dimensional Evaluation Framework for Uncertainty Attributions
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From Liar Paradox to Incongruent Sets: A Normal Form for Self-Reference
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Cross-Modal Prototype Alignment and Mixing for Training-Free Few-Shot Classification
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UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience
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Representation Learning to Study Temporal Dynamics in Tutorial Scaffolding
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Robust Multilingual Text-to-Pictogram Mapping for Scalable Reading Rehabilitation
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CliPPER: Contextual Video-Language Pretraining on Long-form Intraoperative Surgical Procedures for Event Recognition
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SEGAR: Selective Enhancement for Generative Augmented Reality
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Analysing the Safety Pitfalls of Steering Vectors
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A Sociolinguistic Analysis of Automatic Speech Recognition Bias in Newcastle English
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The role of spatial context and multitask learning in the detection of organic and conventional farming systems based on Sentinel-2 time series
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Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch
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Energy-Efficient Hierarchical Federated Anomaly Detection for the Internet of Underwater Things via Selective Cooperative Aggregation
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MedOpenClaw: Auditable Medical Imaging Agents Reasoning over Uncurated Full Studies
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Evaluating Chunking Strategies For Retrieval-Augmented Generation in Oil and Gas Enterprise Documents
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LensWalk: Agentic Video Understanding by Planning How You See in Videos
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The Free-Market Algorithm: Self-Organizing Optimization for Open-Ended Complex Systems
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Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction
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Trust Region Constrained Bayesian Optimization with Penalized Constraint Handling
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POLY-SIM: Polyglot Speaker Identification with Missing Modality Grand Challenge 2026 Evaluation Plan
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Anti-I2V: Safeguarding your photos from malicious image-to-video generation
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Completeness of Unbounded Best-First Minimax and Descent Minimax
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Towards Training-Free Scene Text Editing
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VFIG: Vectorizing Complex Figures in SVG with Vision-Language Models
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Chameleon: Episodic Memory for Long-Horizon Robotic Manipulation
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EndoVGGT: GNN-Enhanced Depth Estimation for Surgical 3D Reconstruction
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Vision-Language Models vs Human: Perceptual Image Quality Assessment
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MARCH: Multi-Agent Reinforced Self-Check for LLM Hallucination
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Retrieval Improvements Do Not Guarantee Better Answers: A Study of RAG for AI Policy QA
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When Consistency Becomes Bias: Interviewer Effects in Semi-Structured Clinical Interviews
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Demystifying When Pruning Works via Representation Hierarchies
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Latent-WAM: Latent World Action Modeling for End-to-End Autonomous Driving
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The Stochastic Gap: A Markovian Framework for Pre-Deployment Reliability and Oversight-Cost Auditing in Agentic Artificial Intelligence
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TAG: Target-Agnostic Guidance for Stable Object-Centric Inference in Vision-Language-Action Models
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Comparing Developer and LLM Biases in Code Evaluation
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DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving
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Polynomial Speedup in Diffusion Models with the Multilevel Euler-Maruyama Method
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From Weights to Concepts: Data-Free Interpretability of CLIP via Singular Vector Decomposition
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Spectral methods: crucial for machine learning, natural for quantum computers?
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When Is Collective Intelligence a Lottery? Multi-Agent Scaling Laws for Memetic Drift in LLMs
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ReDiPrune: Relevance-Diversity Pre-Projection Token Pruning for Efficient Multimodal LLMs
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KitchenTwin: Semantically and Geometrically Grounded 3D Kitchen Digital Twins
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UniICL: Systematizing Unified Multimodal In-context Learning through a Capability-Oriented Taxonomy
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BCMDA: Bidirectional Correlation Maps Domain Adaptation for Mixed Domain Semi-Supervised Medical Image Segmentation
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Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses
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Amplified Patch-Level Differential Privacy for Free via Random Cropping
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LLaVA-LE: Large Language-and-Vision Assistant for Lunar Exploration
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Conformal Selective Prediction with General Risk Control
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Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks
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Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards
