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관련 논문 710편

Corpus of Linguistic Acceptability

CoLA
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The Corpus of Linguistic Acceptability (CoLA) consists of 10657 sentences from 23 linguistics publications, expertly annotated for acceptability (grammaticality) by their original authors. The public version contains 9594 sentences belonging to training and development sets, and excludes 1063 sentences belonging to a held out test set. Source: https://nyu-mll.github.io/CoLA/ Image Source: https://arxiv.org/pdf/1805.12471.pdf

관련 논문 4편

Captions Have Often ChOsen Lies About The Evidence

CHOCOLATE
CHOCOLATE 설명 보기

CHOCOLATE is a benchmark for detecting and correcting factual inconsistency in generated chart captions. It consists of captions produced by six advanced models, which are categorized into three subsets: - LVLM: GPT-4V, Bard (before Gemini) - LLM-based Pipeline: DePlot + GPT-4 - Fine-tuned Model: ChartT5, MatCha, UniChart The charts are from two datasets: VisText and the Pew split of Chart-to-Text. In total, CHOCOLATE consists of 1,187 examples. Each instance in CHOCOLATE consists of a caption generated by one of the models and the annotations of the factual errors for each caption sentence. ### Paper Information - Paper: https://arxiv.org/abs/2312.10160 - Code: https://github.com/khuangaf/CHOCOLATE/ - Project: https://khuangaf.github.io/CHOCOLATE ### Citation If you use the CHOCOLATE dataset in your work, please kindly cite the paper using this BibTeX: @misc{huang-etal-2023-do, title = "Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning", author = "Huang, Kung-Hsiang and Zhou, Mingyang and Chan, Hou Pong and Fung, Yi R. and Wang, Zhenhailong and Zhang, Lingyu and Chang, Shih-Fu and Ji, Heng", year={2023}, eprint={2312.10160}, archivePrefix={arXiv}, primaryClass={cs.CL} }

관련 논문 2편

Daniel García Solla

2D site-percolation threshold
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The dataset is a .h5 file comprised of entries with keys of the form (n,m), denoting the dimensions of the system matrix on which the simulations have been performed. The value of each key are two arrays, one to store the number of iterations needed to terminate the process for each simulation, and the other for the number of elements present at the terminal state of each simulation. Thus, given the maximum number of elements n*m in each system, the estimated percolation threshold can be computed by averaging the ratios between the elements at each terminal state and the system size. Overall, 207950010 simulations have been performed. And, this dataset was used to perform a complexity analysis on: https://arxiv.org/abs/2410.11874

관련 논문 1편

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