Mini toolsPapers
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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
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IRIS: Intersection-aware Ray-based Implicit Editable Scenes
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Trajectory-Diversity-Driven Robust Vision-and-Language Navigation
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Brain-Inspired Graph Multi-Agent Systems for LLM Reasoning
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SKILLS: Structured Knowledge Injection for LLM-Driven Telecommunications Operations
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How Vulnerable Are AI Agents to Indirect Prompt Injections? Insights from a Large-Scale Public Competition
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GradCFA: A Hybrid Gradient-Based Counterfactual and Feature Attribution Explanation Algorithm for Local Interpretation of Neural Networks
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Spectral Rectification for Parameter-Efficient Adaptation of Foundation Models in Colonoscopy Depth Estimation
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More Test-Time Compute Can Hurt: Overestimation Bias in LLM Beam Search
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Why AI systems don't learn and what to do about it: Lessons on autonomous learning from cognitive science
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RARE disease detection from Capsule Endoscopic Videos based on Vision Transformers
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Persistence Spheres: a Bi-continuous Linear Representation of Measures for Partial Optimal Transport
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RieMind: Geometry-Grounded Spatial Agent for Scene Understanding
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Efficient Morphology-Control Co-Design via Stackelberg Proximal Policy Optimization
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When Does Sparsity Mitigate the Curse of Depth in LLMs
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AI Evasion and Impersonation Attacks on Facial Re-Identification with Activation Map Explanations
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SFCoT: Safer Chain-of-Thought via Active Safety Evaluation and Calibration
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SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?
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A Closer Look into LLMs for Table Understanding
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Pointing-Based Object Recognition
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Detection of Autonomous Shuttles in Urban Traffic Images Using Adaptive Residual Context
