chart question answering

ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering ACL 2026 ChartR: Evaluating Reasoning Accuracy and Robustness in Chart Question Answering CVPR 2026 DomainCQA: Crafting Knowledge-Intensive QA from Domain-Specific Charts AAAI 2026 Advancing Chart Question Answering with Robust Chart Component Recognition WACV 2025 ChartGaze: Enhancing Chart Understanding in LVLMs with Eye-Tracking Guided Attention Refinement EMNLP 2025 ChartMind: A Comprehensive Benchmark for Complex Real-world Multimodal Chart Question Answering EMNLP 2025 Instruction-tuned QwenChart for Chart Question Answering ACL 2025 Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning? ACL 2025 SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials NAACL 2025 Union Is Strength! Unite the Power of LLMs and MLLMs for Chart Question Answering AAAI 2025 Visual Question Answering on Scientific Charts Using Fine-Tuned Vision-Language Models ACL 2025 VProChart: Answering Chart Question Through Visual Perception Alignment Agent and Programmatic Solution Reasoning AAAI 2025 ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering EMNLP 2024 MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning NAACL 2024 Unraveling the Truth: Do VLMs really Understand Charts? A Deep Dive into Consistency and Robustness EMNLP 2024 DePlot: One-shot visual language reasoning by plot-to-table translation ACL 2023 Program Synthesis for Complex QA on Charts via Probabilistic Grammar Based Filtered Iterative Back-Translation EACL 2023 UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning EMNLP 2023 ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning ACL 2022 Answering Questions about Data Visualizations using Efficient Bimodal Fusion WACV 2020 STL-CQA: Structure-based Transformers with Localization and Encoding for Chart Question Answering EMNLP 2020