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Coordinate Encoding on Linear Grids for Physics-Informed Neural Networks
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TimeWeaver: Age-Consistent Reference-Based Face Restoration with Identity Preservation
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Synthetic or Authentic? Building Mental Patient Simulators from Longitudinal Evidence
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How Far Can VLMs Go for Visual Bug Detection? Studying 19,738 Keyframes from 41 Hours of Gameplay Videos
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Detecting Non-Membership in LLM Training Data via Rank Correlations
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Who Spoke What When? Evaluating Spoken Language Models for Conversational ASR with Semantic and Overlap-Aware Metrics
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Non-Adversarial Imitation Learning Provably Free of Compounding Errors: The Role of Bellman Constraints
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PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representative Dataset
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Labeled Compression Schemes for Concept Classes of Finite Functions
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HyFI: Hyperbolic Feature Interpolation for Brain-Vision Alignment
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Double Coupling Architecture and Training Method for Optimization Problems of Differential Algebraic Equations with Parameters
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Spiking Personalized Federated Learning for Brain-Computer Interface-Enabled Immersive Communication
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Behavioral Heterogeneity as Quantum-Inspired Representation
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How Utilitarian Are OpenAI's Models Really? Replicating and Reinterpreting Pfeffer, Krügel, and Uhl (2025)
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SOUPLE: Enhancing Audio-Visual Localization and Segmentation with Learnable Prompt Contexts
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Explanation Generation for Contradiction Reconciliation with LLMs
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Multitask-Informed Prior for In-Context Learning on Tabular Data: Application to Steel Property Prediction
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Algorithmic warm starts for Hamiltonian Monte Carlo
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Beyond Binary Correctness: Scaling Evaluation of Long-Horizon Agents on Subjective Enterprise Tasks
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REALITrees: Rashomon Ensemble Active Learning for Interpretable Trees
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CLiGNet: Clinical Label-Interaction Graph Network for Medical Specialty Classification from Clinical Transcriptions
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PRISM: A Dual View of LLM Reasoning through Semantic Flow and Latent Computation
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KALAVAI: Predicting When Independent Specialist Fusion Works -- A Quantitative Model for Post-Hoc Cooperative LLM Training
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MVPBench: A Multi-Video Perception Evaluation Benchmark for Multi-Modal Video Understanding
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Multimodal Industrial Anomaly Detection via Geometric Prior
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Reconstruction-Guided Slot Curriculum: Addressing Object Over-Fragmentation in Video Object-Centric Learning
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ENC-Bench: A Benchmark for Evaluating Multimodal Large Language Models in Electronic Navigational Chart Understanding
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DALDALL: Data Augmentation for Lexical and Semantic Diverse in Legal Domain by leveraging LLM-Persona
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From Overload to Convergence: Supporting Multi-Issue Human-AI Negotiation with Bayesian Visualization
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Can LLM Agents Generate Real-World Evidence? Evaluating Observational Studies in Medical Databases
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From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery
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From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips
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Explainable Threat Attribution for IoT Networks Using Conditional SHAP and Flow Behavior Modelling
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Viewport-based Neural 360° Image Compression
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AgriPestDatabase-v1.0: A Structured Insect Dataset for Training Agricultural Large Language Model
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KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at Taobao
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Typography-Based Monocular Distance Estimation Framework for Vehicle Safety Systems
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Know3D: Prompting 3D Generation with Knowledge from Vision-Language Models
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Caterpillar of Thoughts: The Optimal Test-Time Algorithm for Large Language Models
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Exposure-Normalized Bed and Chair Fall Rates via Continuous AI Monitoring
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Predictive Photometric Uncertainty in Gaussian Splatting for Novel View Synthesis
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Quantum Random Forest for the Regression Problem
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ABSTRAL: Automatic Design of Multi-Agent Systems Through Iterative Refinement and Topology Optimization
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Reliable Classroom AI via Neuro-Symbolic Multimodal Reasoning
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It Takes Two: A Duet of Periodicity and Directionality for Burst Flicker Removal
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Synthetic Mixed Training: Scaling Parametric Knowledge Acquisition Beyond RAG
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PhotoAgent: A Robotic Photographer with Spatial and Aesthetic Understanding
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Span Modeling for Idiomaticity and Figurative Language Detection with Span Contrastive Loss
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Transformers Trained via Gradient Descent Can Provably Learn a Class of Teacher Models
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Combinatorial Privacy: Private Multi-Party Bitstream Grand Sum by Hiding in Birkhoff Polytopes
