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SAGE: Multi-Agent Self-Evolution for LLM Reasoning
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SEMAG: Self-Evolutionary Multi-Agent Code Generation
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Directional Embedding Smoothing for Robust Vision Language Models
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AGCD: Agent-Guided Cross-Modal Decoding for Weather Forecasting
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Probe-then-Plan: Environment-Aware Planning for Industrial E-commerce Search
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IConE: Batch Independent Collapse Prevention for Self-Supervised Representation Learning
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Automatic Termination Strategy of Inelastic Neutron-scattering Measurement Using Bayesian Optimization for Bin-width Selection
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Mastering the Minority: An Uncertainty-guided Multi-Expert Framework for Challenging-tailed Sequence Learning
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Exemplar Diffusion: Improving Medical Object Detection with Opportunistic Labels
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Self-Supervised ImageNet Representations for In Vivo Confocal Microscopy: Tortuosity Grading without Segmentation Maps
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From Documents to Spans: Code-Centric Learning for LLM-based ICD Coding
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Flash-Unified: A Training-Free and Task-Aware Acceleration Framework for Native Unified Models
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Dataset Diversity Metrics and Impact on Classification Models
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Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling
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Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory
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Survey of Various Fuzzy and Uncertain Decision-Making Methods
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Algorithms for Deciding the Safety of States in Fully Observable Non-deterministic Problems: Technical Report
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Evaluating the Robustness of Reinforcement Learning based Adaptive Traffic Signal Control
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Scalable Simulation-Based Model Inference with Test-Time Complexity Control
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Datasets for Verb Alternations across Languages: BLM Templates and Data Augmentation Strategies
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Evolutionary Transfer Learning for Dragonchess
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Enhancing classification accuracy through chaos
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GATE-AD: Graph Attention Network Encoding For Few-Shot Industrial Visual Anomaly Detection
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Generative Video Compression with One-Dimensional Latent Representation
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xplainfi: Feature Importance and Statistical Inference for Machine Learning in R
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A Kolmogorov-Arnold Surrogate Model for Chemical Equilibria: Application to Solid Solutions
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CCTU: A Benchmark for Tool Use under Complex Constraints
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EmergeNav: Structured Embodied Inference for Zero-Shot Vision-and-Language Navigation in Continuous Environments
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Knowledge Graph Extraction from Biomedical Literature for Alkaptonuria Rare Disease
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PYTHEN: A Flexible Framework for Legal Reasoning in Python
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LLM-Driven Discovery of High-Entropy Catalysts via Retrieval-Augmented Generation
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CASHomon Sets: Efficient Rashomon Sets Across Multiple Model Classes and their Hyperparameters
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Tagarela - A Portuguese speech dataset from podcasts
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MeMix: Writing Less, Remembering More for Streaming 3D Reconstruction
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A scaled TW-PINN: A physics-informed neural network for traveling wave solutions of reaction-diffusion equations with general coefficients
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Data Augmentation via Causal-Residual Bootstrapping
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Active Seriation: Efficient Ordering Recovery with Statistical Guarantees
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DOS: Dependency-Oriented Sampler for Masked Diffusion Language Models
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Intelligent Co-Design: An Interactive LLM Framework for Interior Spatial Design via Multi-Modal Agents
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Embedding-Aware Feature Discovery: Bridging Latent Representations and Interpretable Features in Event Sequences
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Oscillating Dispersion for Maximal Light-throughput Spectral Imaging
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PMAx: An Agentic Framework for AI-Driven Process Mining
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NV-Bench: Benchmark of Nonverbal Vocalization Synthesis for Expressive Text-to-Speech Generation
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Conditional Rectified Flow-based End-to-End Rapid Seismic Inversion Method
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FuXiWeather2: Learning accurate atmospheric state estimation for operational global weather forecasting
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Deep learning and the rate of approximation by flows
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CRASH: Cognitive Reasoning Agent for Safety Hazards in Autonomous Driving
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A PPO-Based Bitrate Allocation Conditional Diffusion Model for Remote Sensing Image Compression
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Exploring Novelty Differences between Industry and Academia: A Knowledge Entity-centric Perspective
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Controlled Langevin Dynamics for Sampling of Feedforward Neural Networks Trained with Minibatches
