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MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering.

, , , , , , , , and . ACL (1), page 12756-12770. Association for Computational Linguistics, (2023)

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Multimodal Chart Retrieval: A Comparison of Text, Table and Image Based Approaches., , and . NAACL-HLT, page 5488-5505. Association for Computational Linguistics, (2024)DePlot: One-shot visual language reasoning by plot-to-table translation., , , , , , , , , and . ACL (Findings), page 10381-10399. Association for Computational Linguistics, (2023)STRUCTSUM Generation for Faster Text Comprehension., , and . ACL (1), page 7876-7896. Association for Computational Linguistics, (2024)Generating Logical Forms from Graph Representations of Text and Entities., , , , and . ACL (1), page 95-106. Association for Computational Linguistics, (2019)Compressed Indexes for String Searching in Labeled Graphs., , and . WWW, page 322-332. ACM, (2015)Algorithms and data structures for big labeled graphs.. University of Pisa, Italy, (2017)Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge Graphs., , and . EMNLP (1), page 8813-8829. Association for Computational Linguistics, (2021)MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering., , , , , , , , and . ACL (1), page 12756-12770. Association for Computational Linguistics, (2023)Faithful Chart Summarization with ChaTS-Pi., , , and . ACL (1), page 8705-8723. Association for Computational Linguistics, (2024)From TagME to WAT: a new entity annotator., and . ERD@SIGIR, page 55-62. ACM, (2014)