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From pixels to insights: A survey on automatic chart understanding in the era of large foundation models
Data visualization in the form of charts plays a pivotal role in data analysis, offering critical
insights and aiding in informed decision-making. Automatic chart understanding has …
insights and aiding in informed decision-making. Automatic chart understanding has …
A systematic survey and critical review on evaluating large language models: Challenges, limitations, and recommendations
Abstract Large Language Models (LLMs) have recently gained significant attention due to
their remarkable capabilities in performing diverse tasks across various domains. However …
their remarkable capabilities in performing diverse tasks across various domains. However …
Mmt-bench: A comprehensive multimodal benchmark for evaluating large vision-language models towards multitask agi
Large Vision-Language Models (LVLMs) show significant strides in general-purpose
multimodal applications such as visual dialogue and embodied navigation. However …
multimodal applications such as visual dialogue and embodied navigation. However …
Tinychart: Efficient chart understanding with visual token merging and program-of-thoughts learning
Charts are important for presenting and explaining complex data relationships. Recently,
multimodal large language models (MLLMs) have shown remarkable capabilities in various …
multimodal large language models (MLLMs) have shown remarkable capabilities in various …
Chartbench: A benchmark for complex visual reasoning in charts
Multimodal Large Language Models (MLLMs) have shown impressive capabilities in image
understanding and generation. However, current benchmarks fail to accurately evaluate the …
understanding and generation. However, current benchmarks fail to accurately evaluate the …
Chartmimic: Evaluating lmm's cross-modal reasoning capability via chart-to-code generation
We introduce a new benchmark, ChartMimic, aimed at assessing the visually-grounded
code generation capabilities of large multimodal models (LMMs). ChartMimic utilizes …
code generation capabilities of large multimodal models (LMMs). ChartMimic utilizes …
Viseval: A benchmark for data visualization in the era of large language models
Translating natural language to visualization (NL2VIS) has shown great promise for visual
data analysis, but it remains a challenging task that requires multiple low-level …
data analysis, but it remains a challenging task that requires multiple low-level …
Are large vision language models up to the challenge of chart comprehension and reasoning? an extensive investigation into the capabilities and limitations of lvlms
Natural language is a powerful complementary modality of communication for data
visualizations, such as bar and line charts. To facilitate chart-based reasoning using natural …
visualizations, such as bar and line charts. To facilitate chart-based reasoning using natural …
Advancing multimodal large language models in chart question answering with visualization-referenced instruction tuning
Emerging multimodal large language models (MLLMs) exhibit great potential for chart
question answering (CQA). Recent efforts primarily focus on scaling up training datasets (ie …
question answering (CQA). Recent efforts primarily focus on scaling up training datasets (ie …
TinyChart: Efficient chart understanding with program-of-thoughts learning and visual token merging
Charts are important for presenting and explaining complex data relationships. Recently,
multimodal large language models (MLLMs) have shown remarkable capabilities in chart …
multimodal large language models (MLLMs) have shown remarkable capabilities in chart …