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Theoretical Convergence of SMOTE-Generated Samples

Theoretical Convergence of SMOTE-Generated Samples

By Firuz Kamalov

TopoLoRA-SAM: Topology-Aware Parameter-Efficient Adaptation of Foundation Segmenters for Thin-Structure and Cross-Domain Binary Semantic Segmentation

TopoLoRA-SAM: Topology-Aware Parameter-Efficient Adaptation of Foundation Segmenters for Thin-Structure and Cross-Domain Binary Semantic Segmentation

By Salim Khazem

VerLM: Explaining Face Verification Using Natural Language

VerLM: Explaining Face Verification Using Natural Language

By Syed Abdul Hannan

Vision-Based Early Fault Diagnosis and Self-Recovery for Strawberry Harvesting Robots

Vision-Based Early Fault Diagnosis and Self-Recovery for Strawberry Harvesting Robots

By Meili Sun

VIT-Ped: Visionary Intention Transformer for Pedestrian Behavior Analysis

VIT-Ped: Visionary Intention Transformer for Pedestrian Behavior Analysis

By Aly R. Elkammar

Yukthi Opus: A Multi-Chain Hybrid Metaheuristic for Large-Scale NP-Hard Optimization

Yukthi Opus: A Multi-Chain Hybrid Metaheuristic for Large-Scale NP-Hard Optimization

By SB Danush Vikraman

A construction of an optimal base for conditional attribute and attributional condition implications in triadic contexts

A construction of an optimal base for conditional attribute and attributional condition implications in triadic contexts

By Romuald Kwessy Mouona

A Graph-based Framework for Online Time Series Anomaly Detection Using Model Ensemble

A Graph-based Framework for Online Time Series Anomaly Detection Using Model Ensemble

By Zewei Yu

Accelerating Storage-Based Training for Graph Neural Networks

Accelerating Storage-Based Training for Graph Neural Networks

By Myung-Hwan Jang

Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives

Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives

By Wei Liu

Aletheia: Quantifying Cognitive Conviction in Reasoning Models via Regularized Inverse Confusion Matrix

Aletheia: Quantifying Cognitive Conviction in Reasoning Models via Regularized Inverse Confusion Matrix

By Fanzhe Fu

Beyond Gemini-3-Pro: Revisiting LLM Routing and Aggregation at Scale

Beyond Gemini-3-Pro: Revisiting LLM Routing and Aggregation at Scale

By Shengji Tang

Bridging the Data Gap: Creating a Hindi Text Summarization Dataset from the English XSUM

Bridging the Data Gap: Creating a Hindi Text Summarization Dataset from the English XSUM

By Praveenkumar Katwe

CaveAgent: Transforming LLMs into Stateful Runtime Operators

CaveAgent: Transforming LLMs into Stateful Runtime Operators

By Maohao Ran

Data Complexity-aware Deep Model Performance Forecasting

Data Complexity-aware Deep Model Performance Forecasting

By Yen-Chia Chen

DeepInv: A Novel Self-supervised Learning Approach for Fast and Accurate Diffusion Inversion

DeepInv: A Novel Self-supervised Learning Approach for Fast and Accurate Diffusion Inversion

By Ziyue Zhang

Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models

Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models

By Rong Zhou

DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving

DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving

By Yang Zhou

EscherVerse: An Open World Benchmark and Dataset for Teleo-Spatial Intelligence with Physical-Dynamic and Intent-Driven Understanding

EscherVerse: An Open World Benchmark and Dataset for Teleo-Spatial Intelligence with Physical-Dynamic and Intent-Driven Understanding

By Tianjun Gu

Exposing Hidden Interfaces: LLM-Guided Type Inference for Reverse Engineering macOS Private Frameworks

Exposing Hidden Interfaces: LLM-Guided Type Inference for Reverse Engineering macOS Private Frameworks

By Arina Kharlamova