Papers
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AutoMOOSE: An Agentic AI for Autonomous Phase-Field Simulation
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Interpreting the Synchronization Gap: The Hidden Mechanism Inside Diffusion Transformers
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Can we automatize scientific discovery in the cognitive sciences?
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ECI: Effective Contrastive Information to Evaluate Hard-Negatives
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Structural Sensitivity in Compressed Transformers: Error Propagation, Lyapunov Stability, and Formally Verified Bounds
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Long-Term Outlier Prediction Through Outlier Score Modeling
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The Intelligent Disobedience Game: Formulating Disobedience in Stackelberg Games and Markov Decision Processes
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When Does Content-Based Routing Work? Representation Requirements for Selective Attention in Hybrid Sequence Models
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OrbitStream: Training-Free Adaptive 360-degree Video Streaming via Semantic Potential Fields
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SkinCLIP-VL: Consistency-Aware Vision-Language Learning for Multimodal Skin Cancer Diagnosis
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CLT-Forge: A Scalable Library for Cross-Layer Transcoders and Attribution Graphs
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Mitigating Selection Bias in Large Language Models via Permutation-Aware GRPO
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Dynamic Fusion-Aware Graph Convolutional Neural Network for Multimodal Emotion Recognition in Conversations
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KLDrive: Fine-Grained 3D Scene Reasoning for Autonomous Driving based on Knowledge Graph
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Deep Attention-based Sequential Ensemble Learning for BLE-Based Indoor Localization in Care Facilities
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First-Mover Bias in Gradient Boosting Explanations: Mechanism, Detection, and Resolution
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TabPFN Extensions for Interpretable Geotechnical Modelling
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Fuel Consumption Prediction: A Comparative Analysis of Machine Learning Paradigms
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Left Behind: Cross-Lingual Transfer as a Bridge for Low-Resource Languages in Large Language Models
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Reading Between the Lines: How Electronic Nonverbal Cues shape Emotion Decoding
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Benchmarking Scientific Machine Learning Models for Air Quality Data
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Intelligence Inertia: Physical Principles and Applications
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Statistical Learning for Latent Embedding Alignment with Application to Brain Encoding and Decoding
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Confidence Freeze: Early Success Induces a Metastable Decoupling of Metacognition and Behaviour
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LPNSR: Prior-Enhanced Diffusion Image Super-Resolution via LR-Guided Noise Prediction
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SpatialFly: Geometry-Guided Representation Alignment for UAV Vision-and-Language Navigation in Urban Environments
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When Minor Edits Matter: LLM-Driven Prompt Attack for Medical VLM Robustness in Ultrasound
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A Two-stage Transformer Framework for Temporal Localization of Distracted Driver Behaviors
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COMPASS-Hedge: Learning Safely Without Knowing the World
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Harmful Visual Content Manipulation Matters in Misinformation Detection Under Multimedia Scenarios
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SGAD-SLAM: Splatting Gaussians at Adjusted Depth for Better Radiance Fields in RGBD SLAM
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Semi-Supervised Learning with Balanced Deep Representation Distributions
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Single-Eye View: Monocular Real-time Perception Package for Autonomous Driving
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Gradient Descent with Projection Finds Over-Parameterized Neural Networks for Learning Low-Degree Polynomials with Nearly Minimax Optimal Rate
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2Xplat: Two Experts Are Better Than One Generalist
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LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning
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NoOVD: Novel Category Discovery and Embedding for Open-Vocabulary Object Detection
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CTFS : Collaborative Teacher Framework for Forward-Looking Sonar Image Semantic Segmentation with Extremely Limited Labels
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SqueezeComposer: Temporal Speed-up is A Simple Trick for Long-form Music Composing
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CoVFT: Context-aware Visual Fine-tuning for Multimodal Large Language Models
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Assessing the Ability of Neural TTS Systems to Model Consonant-Induced F0 Perturbation
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Hierarchical Text-Guided Brain Tumor Segmentation via Sub-Region-Aware Prompts
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ViCLSR: A Supervised Contrastive Learning Framework with Natural Language Inference for Natural Language Understanding Tasks
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Taming Sampling Perturbations with Variance Expansion Loss for Latent Diffusion Models
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DGRNet: Disagreement-Guided Refinement for Uncertainty-Aware Brain Tumor Segmentation
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Stochastic approximation in non-markovian environments revisited
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ReasonScaffold: A Scaffolded Reasoning-based Annotation Protocol for Human-AI Co-Annotation
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Representation-Level Adversarial Regularization for Clinically Aligned Multitask Thyroid Ultrasound Assessment
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Mixture of Chapters: Scaling Learnt Memory in Transformers
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Learning to Optimize Joint Source and RIS-assisted Channel Encoding for Multi-User Semantic Communication Systems
