LSLE is a two-stage framework that constructs literacy-stratified LLM personas and benchmarks their evaluation outputs against human response distributions from VLAT and BeauVIS validation studies.
arXiv preprint arXiv:2505.17202 (2025)
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Introduces CVLAT and VFRI to disentangle visual vs factual correctness in 15 LVLMs, classifies models by reliance sign, compares to human baseline, and tests prompt interventions.
citing papers explorer
-
LLM-Based Visualization Evaluation: How Well Do Literacy-Stratified Personas Approximate Human Judgments?
LSLE is a two-stage framework that constructs literacy-stratified LLM personas and benchmarks their evaluation outputs against human response distributions from VLAT and BeauVIS validation studies.
-
Disentangling Visual and Factual Correctness in LVLMs' Visualization Literacy
Introduces CVLAT and VFRI to disentangle visual vs factual correctness in 15 LVLMs, classifies models by reliance sign, compares to human baseline, and tests prompt interventions.