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Generalizable Self-Evolving Memory for Automatic Prompt Optimization
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Efficient Failure Management for Multi-Agent Systems with Reasoning Trace Representation
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SafePilot: A Framework for Assuring LLM-enabled Cyber-Physical Systems
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CatRAG: Functor-Guided Structural Debiasing with Retrieval Augmentation for Fair LLMs
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BOxCrete: A Bayesian Optimization Open-Source AI Model for Concrete Strength Forecasting and Mix Optimization
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VIGIL: Part-Grounded Structured Reasoning for Generalizable Deepfake Detection
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PEARL: Geometry Aligns Semantics for Training-Free Open-Vocabulary Semantic Segmentation
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SynSym: A Synthetic Data Generation Framework for Psychiatric Symptom Identification
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LLM-Based Test Case Generation in DBMS through Monte Carlo Tree Search
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Generalization Limits of In-Context Operator Networks for Higher-Order Partial Differential Equations
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Sharper Generalization Bounds for Transformer
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Evolutionary Biparty Multiobjective UAV Path Planning: Problems and Empirical Comparisons
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What Do World Models Learn in RL? Probing Latent Representations in Learned Environment Simulators
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PROBE: Diagnosing Residual Concept Capacity in Erased Text-to-Video Diffusion Models
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Early Discoveries of Algorithmist I: Promise of Provable Algorithm Synthesis at Scale
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From Part to Whole: 3D Generative World Model with an Adaptive Structural Hierarchy
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Stabilizing Iterative Self-Training with Verified Reasoning via Symbolic Recursive Self-Alignment
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Revisiting Weakly-Supervised Video Scene Graph Generation via Pair Affinity Learning
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Exploring Multimodal Prompts For Unsupervised Continuous Anomaly Detection
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Counterfactual Credit Policy Optimization for Multi-Agent Collaboration
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Toward a Theory of Hierarchical Memory for Language Agents
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Rethinking SAR ATR: A Target-Aware Frequency-Spatial Enhancement Framework with Noise-Resilient Knowledge Guidance
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CataractSAM-2: A Domain-Adapted Model for Anterior Segment Surgery Segmentation and Scalable Ground-Truth Annotation
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Kolmogorov Complexity Bounds for LLM Steganography and a Perplexity-Based Detection Proxy
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Stability and Bifurcation Analysis of Nonlinear PDEs via Random Projection-based PINNs: A Krylov-Arnoldi Approach
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Relational graph-driven differential denoising and diffusion attention fusion for multimodal conversation emotion recognition
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Joint Surrogate Learning of Objectives, Constraints, and Sensitivities for Efficient Multi-objective Optimization of Neural Dynamical Systems
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Consistent but Dangerous: Per-Sample Safety Classification Reveals False Reliability in Medical Vision-Language Models
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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
