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Large Language Models (LLMs) demonstrate exceptional performance in textual understanding and tabular reasoning tasks.
Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 1908
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Rule-based named entity recognition for greek financial texts
Dimitra Farmakiotou, Vangelis Karkaletsis, John Koutsias, George Sigletos, Constantine D Spyropoulos, and Panagiotis Stamatopoulos. 2000 · 2000
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From dataset recycling to multi-property extraction and beyond
Tomasz Dwojak, Michal Pietruszka, Lukasz Borchmann, Jakub Chledowski, and Filip Gralinski. 2020 · 2011
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A rule-based system to extract financial information
Mahmudul Sheikh and Sumali Conlon. 2012 · 2012
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Wikireading: A novel large-scale language understanding task over wikipedia
Daniel Hewlett, Alexandre Lacoste, Llion Jones, Illia Polosukhin, Andrew Fandrianto, Jay Han, Matthew Kelcey, and David Berthelot. 2016 · 2016
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A hybrid ai tool to extract key performance indicators from financial reports for benchmarking
Eduardo Brito, Rafet Sifa, Christian Bauckhage, Rüdiger Loitz, Uwe Lohmeier, and Christin Pünt. 2019 · 2019
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Spot: A tool for identifying operating segments in financial tables
Zhiqiang Ma, Steven Pomerville, Mingyang Di, and Armineh Nourbakhsh. 2020 · 2020
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Context-ner: Contextual phrase generation at scale
Himanshu Gupta, Shreyas Verma, Tarun Kumar, Swaroop Mishra, Tamanna Agrawal, Amogh Badugu, and Himanshu Sharad Bhatt. 2021 · 2021
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Embedding-based product retrieval in taobao search
Sen Li, Fuyu Lv, Taiwei Jin, Guli Lin, Keping Yang, Xiaoyi Zeng, Xiao-Ming Wu, and Qianli Ma. 2021 · 2021
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Tat-qa: A question answering benchmark on a hybrid of tabular and textual content in finance
Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, and Tat-Seng Chua. 2021 · 2021
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Finqa: A dataset of numerical reasoning over financial data
Zhiyu Chen, Wenhu Chen, Charese Smiley, Sameena Shah, Iana Borova, Dylan Langdon, Reema Moussa, Matt Beane, Ting-Hao Huang, Bryan Routledge, and William Yang Wang. 2022 · 2022
Cited alongside, same era.
Kpi-bert: A joint named entity recognition and relation extraction model for financial reports
Lars Hillebrand, Tobias Deußer, Tim Dilmaghani, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, and Rafet Sifa. 2022 · 2022
Cited alongside, same era.
Towards reasoning in large language models: A survey
Jie Huang and Kevin Chen-Chuan Chang. 2022 · 2022
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MultiHiertt: Numerical reasoning over multi hierarchical tabular and textual data
Yilun Zhao, Yunxiang Li, Chenying Li, and Rui Zhang. 2022 · 2022
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Least-to-most prompting enables complex reasoning in large language models
Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2023 · 2023
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Bo Li, Gexiang Fang, Yang Yang, Quansen Wang, Wei Ye, Wen Zhao, and Shikun Zhang. 2023 · 2023
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Xinnian Liang, Bing Wang, Hui Huang, Shuangzhi Wu, Peihao Wu, Lu Lu, Zejun Ma, and Zhoujun Li. 2023 · 2023
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Optimizing document classification: Unleashing the power of genetic algorithms
Ghulam Mustafa, Abid Rauf, Ahmad Sami Al-Shamayleh, Muhammad Sulaiman, Wagdi Alrawagfeh, Muhammad Tanvir Afzal, and Adnan Akhunzada. 2023 · 2023
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Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Olivier Bousquet, Quoc Le, and Ed Chi. 2022 · 2022
Cited alongside, same era.
Language models enable simple systems for generating structured views of heterogeneous data lakes
Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, and Christopher Ré. 2023 · 2023
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Large language models are few(1)-shot table reasoners
Wenhu Chen. 2023 · 2023
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Evaluating visual analytics for relevant information retrieval in document collections
Sherlon Almeida da Silva, Evangelos E. Milios, and Maria Cristina Ferreira de Oliveira. 2023 · 2023
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A survey on legal question-answering systems
Jorge Martínez Gil. 2023 · 2023
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Gpt-ner: Named entity recognition via large language models
Shuhe Wang, Xiaofei Sun, Xiaoya Li, Rongbin Ouyang, Fei Wu, Tianwei Zhang, Jiwei Li, and Guoyin Wang. 2023a
Cited in the paper.
Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou. 2023b
Cited in the paper.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, and Denny Zhou. 2023a
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Maciej P Polak, Shrey Modi, Anna Latosinska, Jinming Zhang, Ching-Wen Wang, Shanonan Wang, Ayan Deep Hazra, and Dane Morgan. 2023 · 2023
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Chatgraph: Interpretable text classification by converting chatgpt knowledge to graphs
Yucheng Shi, Hehuan Ma, Wenliang Zhong, Gengchen Mai, Xiang Li, Tianming Liu, and Junzhou Huang. 2023 · 2023
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Gpt-re: In-context learning for relation extraction using large language models
Zhen Wan, Fei Cheng, Zhuoyuan Mao, Qianying Liu, Haiyue Song, Jiwei Li, and Sadao Kurohashi. 2023 · 2023
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How to unleash the power of large language models for few-shot relation extraction?
Xin Xu, Yuqi Zhu, Xiaohan Wang, and Ningyu Zhang. 2023 · 2023
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Yunhu Ye, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, and Yongbin Li. 2023 · 2023
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