3 papers
cs.CV2026
Disentangling Visual and Factual Correctness in LVLMs' Visualization Literacy
Soohyun Lee, Jaeyoung Kim, Seokhyeon Park +5
Large Vision-Language Models (LVLMs) show strong visualization interpretation, yet it is unclear whether their responses reflect genuine reasoning over visual evidence or factual p…
cs.HC2026
Vivifying LIME: Visual Interactive Testbed for LIME Analysis
Jeongmin Rhee, Changhee Lee, DongHwa Shin +1
Explainable Artificial Intelligence (XAI) has gained importance in interpreting model predictions. Among leading techniques for XAI, Local Interpretable Model-agnostic Explanations…
cs.CL2025
MedOrchestra: A Hybrid Cloud-Local LLM Approach for Clinical Data Interpretation
Sihyeon Lee, Hyunjoo Song, Jong-chan Lee +6
Deploying large language models (LLMs) in clinical settings faces critical trade-offs: cloud LLMs, with their extensive parameters and superior performance, pose risks to sensitive…