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Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in
  Chart Captioning

Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning

15 December 2023
Kung-Hsiang Huang
Mingyang Zhou
Hou Pong Chan
Yi Ren Fung
Zhenhailong Wang
Lingyu Zhang
Shih-Fu Chang
Heng Ji
ArXivPDFHTML

Papers citing "Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning"

30 / 30 papers shown
Title
V$^2$R-Bench: Holistically Evaluating LVLM Robustness to Fundamental Visual Variations
V2^22R-Bench: Holistically Evaluating LVLM Robustness to Fundamental Visual Variations
Zhiyuan Fan
Yumeng Wang
Sandeep Polisetty
Yi Ren Fung
43
0
0
23 Apr 2025
Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering
Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering
Zixin Chen
Sicheng Song
Kashun Shum
Yanna Lin
Rui Sheng
Huamin Qu
62
2
0
23 Mar 2025
Exploring Typographic Visual Prompts Injection Threats in Cross-Modality Generation Models
Hao-Ran Cheng
Erjia Xiao
Yichi Wang
Kaidi Xu
Mengshu Sun
Jindong Gu
Renjing Xu
36
0
0
14 Mar 2025
Chart-HQA: A Benchmark for Hypothetical Question Answering in Charts
Xiangnan Chen
Yuancheng Fang
Qian Xiao
Juncheng Billy Li
J. Lin
Siliang Tang
Yi Yang
Yueting Zhuang
70
0
0
06 Mar 2025
Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding
Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding
Kung-Hsiang Huang
Can Qin
Haoyi Qiu
Philippe Laban
Shafiq R. Joty
Caiming Xiong
C. Wu
VLM
91
1
0
17 Feb 2025
CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering
CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering
Yumeng Wang
Zhiyuan Fan
Q. Wang
May Fung
Heng Ji
80
1
0
30 Jan 2025
M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding
  And A Retrieval-Aware Tuning Framework
M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework
Yew Ken Chia
Liying Cheng
Hou Pong Chan
Chaoqun Liu
Maojia Song
Sharifah Mahani Aljunied
Soujanya Poria
Lidong Bing
RALM
VLM
38
4
0
09 Nov 2024
Self-Correction is More than Refinement: A Learning Framework for Visual and Language Reasoning Tasks
Self-Correction is More than Refinement: A Learning Framework for Visual and Language Reasoning Tasks
Jiayi He
Hehai Lin
Q. Wang
Yi Ren Fung
Heng Ji
ReLM
LRM
95
3
0
05 Oct 2024
Natural Language Generation for Visualizations: State of the Art,
  Challenges and Future Directions
Natural Language Generation for Visualizations: State of the Art, Challenges and Future Directions
Enamul Hoque
Mohammed Saidul Islam
22
2
0
29 Sep 2024
Can GPT-4 Models Detect Misleading Visualizations?
Can GPT-4 Models Detect Misleading Visualizations?
Jason Alexander
Priyal Nanda
Kai-Cheng Yang
Ali Sarvghad
34
5
0
08 Aug 2024
Captioning Visualizations with Large Language Models (CVLLM): A Tutorial
Captioning Visualizations with Large Language Models (CVLLM): A Tutorial
Giuseppe Carenini
Jordon Johnson
Ali Salamatian
VLM
40
0
0
27 Jun 2024
Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities
Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities
Sachit Menon
Richard Zemel
Carl Vondrick
LRM
33
1
0
20 Jun 2024
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of
  Self-Correction of LLMs
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs
Ryo Kamoi
Yusen Zhang
Nan Zhang
Jiawei Han
Rui Zhang
LRM
40
57
0
03 Jun 2024
Are Large Vision Language Models up to the Challenge of Chart
  Comprehension and Reasoning? An Extensive Investigation into the Capabilities
  and Limitations of LVLMs
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs
Mohammed Saidul Islam
Raian Rahman
Ahmed Masry
Md Tahmid Rahman Laskar
Mir Tafseer Nayeem
Enamul Hoque
LRM
ELM
36
4
0
01 Jun 2024
VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large
  Vision-Language Models
VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models
Haoyi Qiu
Wenbo Hu
Zi-Yi Dou
Nanyun Peng
44
7
0
22 Apr 2024
Neuro-Inspired Information-Theoretic Hierarchical Perception for
  Multimodal Learning
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning
Xiongye Xiao
Gengshuo Liu
Gaurav Gupta
De-An Cao
Shixuan Li
Yaxing Li
Tianqing Fang
Mingxi Cheng
Paul Bogdan
30
9
0
15 Apr 2024
From Pixels to Insights: A Survey on Automatic Chart Understanding in
  the Era of Large Foundation Models
From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models
Kung-Hsiang Huang
Hou Pong Chan
Yi Ren Fung
Haoyi Qiu
Mingyang Zhou
Shafiq R. Joty
Shih-Fu Chang
Heng Ji
AI4TS
64
14
0
18 Mar 2024
ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning
ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning
Ahmed Masry
Mehrad Shahmohammadi
Md. Rizwan Parvez
Enamul Hoque
Shafiq R. Joty
34
10
0
14 Mar 2024
Tapilot-Crossing: Benchmarking and Evolving LLMs Towards Interactive
  Data Analysis Agents
Tapilot-Crossing: Benchmarking and Evolving LLMs Towards Interactive Data Analysis Agents
Jinyang Li
Nan Huo
Yan Gao
Jiayi Shi
Yingxiu Zhao
Ge Qu
Yurong Wu
Chenhao Ma
Jian-Guang Lou
Reynold Cheng
LLMAG
29
3
0
08 Mar 2024
SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials
SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials
Wonjoong Kim
S. Park
Yeonjun In
Seokwon Han
Chanyoung Park
LRM
ReLM
32
3
0
22 Feb 2024
ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning
ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning
Renqiu Xia
Bo-Wen Zhang
Hancheng Ye
Xiangchao Yan
Qi Liu
...
Min Dou
Botian Shi
Junchi Yan
Junchi Yan
Yu Qiao
LRM
55
52
0
19 Feb 2024
CodeMind: A Framework to Challenge Large Language Models for Code
  Reasoning
CodeMind: A Framework to Challenge Large Language Models for Code Reasoning
Changshu Liu
Shizhuo Dylan Zhang
Ali Reza Ibrahimzada
Reyhaneh Jabbarvand
ELM
ReCod
LRM
28
0
0
15 Feb 2024
Can LLMs Produce Faithful Explanations For Fact-checking? Towards
  Faithful Explainable Fact-Checking via Multi-Agent Debate
Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate
Kyungha Kim
Sangyun Lee
Kung-Hsiang Huang
Hou Pong Chan
Manling Li
Heng Ji
LRM
49
37
0
12 Feb 2024
New Job, New Gender? Measuring the Social Bias in Image Generation
  Models
New Job, New Gender? Measuring the Social Bias in Image Generation Models
Wenxuan Wang
Haonan Bai
Jen-tse Huang
Yuxuan Wan
Youliang Yuan
Haoyi Qiu
Nanyun Peng
Michael R. Lyu
34
20
0
01 Jan 2024
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven
  Negative Samples Generation
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation
Haoyi Qiu
Kung-Hsiang Huang
Jingnong Qu
Nanyun Peng
HILM
21
6
0
16 Nov 2023
ManiTweet: A New Benchmark for Identifying Manipulation of News on
  Social Media
ManiTweet: A New Benchmark for Identifying Manipulation of News on Social Media
Kung-Hsiang Huang
Hou Pong Chan
Kathleen McKeown
Heng Ji
14
1
0
23 May 2023
Improving Factual Consistency in Summarization with Compression-Based
  Post-Editing
Improving Factual Consistency in Summarization with Compression-Based Post-Editing
Alexander R. Fabbri
Prafulla Kumar Choubey
Jesse Vig
Chien-Sheng Wu
Caiming Xiong
HILM
KELM
42
17
0
11 Nov 2022
Language Models with Image Descriptors are Strong Few-Shot
  Video-Language Learners
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners
Zhenhailong Wang
Manling Li
Ruochen Xu
Luowei Zhou
Jie Lei
...
Chenguang Zhu
Derek Hoiem
Shih-Fu Chang
Mohit Bansal
Heng Ji
MLLM
VLM
167
134
0
22 May 2022
Understanding Factuality in Abstractive Summarization with FRANK: A
  Benchmark for Factuality Metrics
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
Artidoro Pagnoni
Vidhisha Balachandran
Yulia Tsvetkov
HILM
215
305
0
27 Apr 2021
Factual Error Correction for Abstractive Summarization Models
Factual Error Correction for Abstractive Summarization Models
Mengyao Cao
Yue Dong
Jiapeng Wu
Jackie C.K. Cheung
HILM
KELM
167
159
0
17 Oct 2020
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