arXiv
VICBench: A Multi-Language Benchmark for Code Vulnerability Detection
Evaluating security vulnerability detection tools requires benchmark datasets with vulnerability-inducing commits (VI...
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arXiv
An Agentic Workflow for Legacy HPC Modernization: Converting the Two-Electron-Integral Core of GAMESS
Modernizing legacy Fortran is a problem of volume: the transformations are individually routine, but the codebases ca...
arXiv
One Frozen Simulator Is Not Enough: Simulator Collapse in Multi-Agent RL
Multi-agent reinforcement learning for human-AI interaction typically relies on a single large language model to simu...
arXiv
Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams
Multimodal Large Language Models (MLLMs) have been growing the capability for scientific writing and collaboration. F...
arXiv
Convergent Detour Hijacking: Task-Preserving Resource Amplification in Skill-Based LLM Agents
LLM agents increasingly rely on third-party skills, using natural-language descriptions for selection and instruction...
arXiv
A Neighborhood Attention Transformer Network for Enhanced 3D Segmentation of the Left Anterior Descending Artery
Background: Accurate segmentation of the Left Anterior Descending (LAD) artery in 3D free-breathing, non-contrast CT ...
arXiv
Structural Silence: When AI Infrastructure Fails Speakers of Underrepresented Languages
Artificial intelligence tools for education and language support are increasingly framed as scalable responses to acc...
arXiv
VAKRA: Evaluating Multi-Hop Reasoning Across APIs and Retrieval Under Tool-Use Policies
Agents deployed in enterprise settings must reason across structured APIs and document collections, yet existing benc...
arXiv
Beyond Trial-and-Error: Agentic Optimization for Image-to-Video Adherence
Modern black-box Image-to-Video (I2V) models offer powerful capabilities in automated content creation, yet their lac...
arXiv
Class Activation Mapping in Explainable Computer Vision: A Method-Centered Review of CNN, Transformer, and Foundation-Model-Era Visual Explanations
Class activation mapping (CAM) is one of the most widely used visual explanation families in explainable artificial i...
arXiv
Constructing Dynamic Master Logic Models as Knowledge Graphs for Complex System Diagnostics Using Retrieval-Augmented Large Language Models
Dynamic Master Logic (DML) provides a hierarchical framework for representing system behavior by linking functional o...
arXiv
Redistribution-based Cost Inference Improves Sparse Safe Offline RL
Safe offline RL typically assumes access to dense per-step cost annotations, but in practice supervisors provide only...