Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning

Author:

Ye Yunhu1ORCID,Hui Binyuan2ORCID,Yang Min3ORCID,Li Binhua2ORCID,Huang Fei2ORCID,Li Yongbin2ORCID

Affiliation:

1. University of Science and Technology of China, Hefei, China

2. Alibaba Group, Beijing, China

3. SIAT, Chinese Academy of Sciences, Shenzhen, China

Funder

Shenzhen Basic Research Foundation

Shenzhen Science and Technology Innovation Program

National Key Research and Development Program of China

Publisher

ACM

Reference56 articles.

1. A survey and experimental comparison of distributed SPARQL engines for very large RDF data

2. Rami Aly , Zhijiang Guo , Michael Schlichtkrull , James Thorne , Andreas Vlachos , Christos Christodoulopoulos , Oana Cocarascu , and Arpit Mittal . 2021 . Feverous: Fact extraction and verification over unstructured and structured information. ArXiv preprint abs/2106.05707 (2021). https://arxiv.org/abs/2106.05707 Rami Aly, Zhijiang Guo, Michael Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, and Arpit Mittal. 2021. Feverous: Fact extraction and verification over unstructured and structured information. ArXiv preprint abs/2106.05707 (2021). https://arxiv.org/abs/2106.05707

3. Tom B. Brown , Benjamin Mann , Nick Ryder , Melanie Subbiah , Jared Kaplan , Prafulla Dhariwal , Arvind Neelakantan , Pranav Shyam , Girish Sastry , Amanda Askell , Sandhini Agarwal , Ariel Herbert-Voss , Gretchen Krueger , Tom Henighan , Rewon Child , Aditya Ramesh , Daniel M. Ziegler , Jeffrey Wu , Clemens Winter , Christopher Hesse , Mark Chen , Eric Sigler , Mateusz Litwin , Scott Gray , Benjamin Chess , Jack Clark , Christopher Berner , Sam McCandlish , Alec Radford , Ilya Sutskever , and Dario Amodei . 2020 . Language Models are Few-Shot Learners . In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020 , NeurIPS 2020, December 6-12, 2020, virtual, Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, and Hsuan-Tien Lin (Eds.). https://proceedings.neurips.cc/paper/2020/hash/ 1457c0d6bfcb4967418bfb8ac142f64a-Abstract.html Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020. Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, and Hsuan-Tien Lin (Eds.). https://proceedings.neurips.cc/paper/2020/hash/ 1457c0d6bfcb4967418bfb8ac142f64a-Abstract.html

4. Zefeng Cai , Xiangyu Li , Binyuan Hui , Min Yang , Bowen Li , Binhua Li , Zhen Cao , Weijie Li , Fei Huang , Luo Si , and Yongbin Li . 2022 . STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing. In EMNLP. Zefeng Cai, Xiangyu Li, Binyuan Hui, Min Yang, Bowen Li, Binhua Li, Zhen Cao, Weijie Li, Fei Huang, Luo Si, and Yongbin Li. 2022. STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing. In EMNLP.

5. Mark Chen , Jerry Tworek , Heewoo Jun , Qiming Yuan , Henrique Ponde de Oliveira Pinto , Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al. 2021 . Evaluating large language models trained on code. ArXiv preprint abs/2107.03374 (2021). https://arxiv.org/abs/2107.03374 Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al. 2021. Evaluating large language models trained on code. ArXiv preprint abs/2107.03374 (2021). https://arxiv.org/abs/2107.03374

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Robust and resource-efficient table-based fact verification through multi-aspect adversarial contrastive learning;Information Processing & Management;2024-11

2. Self-Improving Teacher Cultivates Better Student: Distillation Calibration for Multimodal Large Language Models;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

3. Mitigating Knowledge Conflicts in Data-to-Text Generation via the Internalization of Fact Extraction;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Are Large Language Models Table-based Fact-Checkers?;2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2024-05-08

5. DataDive: Supporting Readers' Contextualization of Statistical Statements with Data Exploration;Proceedings of the 29th International Conference on Intelligent User Interfaces;2024-03-18

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3