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Factual Inconsistency Detection in Chart Captioning

Detect factual inconsistency between charts and captions.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1–4 of 4 papers

Title	Date	Tasks	Status	Hype
Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning	Dec 15, 2023	Factual Inconsistency Detection in Chart CaptioningImage Captioning	CodeCode Available	1
Improved Baselines with Visual Instruction Tuning	Oct 5, 2023	Factual Inconsistency Detection in Chart CaptioningImage Classification	CodeCode Available	6
GPT-4 Technical Report	Mar 15, 2023	answerability predictionArithmetic Reasoning	CodeCode Available	6
DePlot: One-shot visual language reasoning by plot-to-table translation	Dec 20, 2022	Chart Question AnsweringFactual Inconsistency Detection in Chart Captioning	CodeCode Available	0

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All datasets CHOCOLATE-FT CHOCOLATE-LLM CHOCOLATE-LVLM CHOCOLATE

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	GPT-4V	Kendall's Tau-c	0.21	—	Unverified
2	DePlot + GPT-4	Kendall's Tau-c	0.12	—	Unverified
3	Bard	Kendall's Tau-c	0.11	—	Unverified
4	ChartVE	Kendall's Tau-c	0.09	—	Unverified
5	LLaVA-1.5-13B	Kendall's Tau-c	0.06	—	Unverified