WAREX: Web Agent Reliability Evaluation on Existing Benchmarks
arXiv:2510.03285v1 Announce Type: new Abstract: Recent advances in browser-based LLM agents have shown promise for automating tasks ranging from simple…
BrowserArena: Evaluating LLM Agents on Real-World Web Navigation Tasks
arXiv:2510.02418v1 Announce Type: new Abstract: LLM web agents now browse and take actions on the open web, yet current agent…
VarCoNet: A variability-aware self-supervised framework for functional connectome extraction from resting-state fMRI
arXiv:2510.02120v2 Announce Type: replace-cross Abstract: Accounting for inter-individual variability in brain function is key to precision medicine. Here, by considering…
Multimodal Carotid Risk Stratification with Large Vision-Language Models: Benchmarking, Fine-Tuning, and Clinical Insights
arXiv:2510.02922v1 Announce Type: cross Abstract: Reliable risk assessment for carotid atheromatous disease remains a major clinical challenge, as it requires…
Ergodic Risk Measures: Towards a Risk-Aware Foundation for Continual Reinforcement Learning
arXiv:2510.02945v1 Announce Type: cross Abstract: Continual reinforcement learning (continual RL) seeks to formalize the notions of lifelong learning and endless…
SingMOS-Pro: An Comprehensive Benchmark for Singing Quality Assessment
arXiv:2510.01812v2 Announce Type: replace-cross Abstract: Singing voice generation progresses rapidly, yet evaluating singing quality remains a critical challenge. Human subjective…
OR-Toolformer: Modeling and Solving Operations Research Problems with Tool Augmented Large Language Models
arXiv:2510.01253v1 Announce Type: new Abstract: Large language models (LLMs) demonstrate strong mathematical reasoning, but reliance on closed-source APIs for OR…
Are LLMs Better GNN Helpers? Rethinking Robust Graph Learning under Deficiencies with Iterative Refinement
arXiv:2510.01910v1 Announce Type: cross Abstract: Graph Neural Networks (GNNs) are widely adopted in Web-related applications, serving as a core technique…
Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving
arXiv:2510.00919v2 Announce Type: replace-cross Abstract: Retrieval-augmented generation (RAG) with foundation models has achieved strong performance across diverse tasks, but their…
Automated Defect Detection for Mass-Produced Electronic Components Based on YOLO Object Detection Models
arXiv:2510.01914v1 Announce Type: cross Abstract: Since the defect detection of conventional industry components is time-consuming and labor-intensive, it leads to…