Fetching the paper…
Reading the bibliography…
Financial LLMs hold promise for advancing financial tasks and domain-specific applications.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, and 1 others. 2020 · 1901
Earlier work this paper cites.
Stock movement prediction from tweets and historical prices
Yumo Xu and Shay B Cohen. 2018 · 1979
Earlier work this paper cites.
Statlog (German Credit Data)
Hans Hofmann. 1994 · 1994
Earlier work this paper cites.
Linyi Yang, Eoin M Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, and Ruihai Dong. 2020 · 2010
Earlier work this paper cites.
Financial document causality detection shared task (fincausal 2020)
Dominique Mariko, Hanna Abi Akl, Estelle Labidurie, Stephane Durfort, Hugues De Mazancourt, and Mahmoud El-Haj. 2020 · 2012
Earlier work this paper cites.
Good debt or bad debt: Detecting semantic orientations in economic texts
Pekka Malo, Ankur Sinha, Pekka Korhonen, Jyrki Wallenius, and Pyry Takala. 2014 · 2014
Earlier work this paper cites.
Domain adaption of named entity recognition to support credit risk assessment
Julio Cesar Salinas Alvarado, Karin Verspoor, and Timothy Baldwin. 2015 · 2015
Earlier work this paper cites.
Semeval-2017 task 5: Fine-grained sentiment analysis on financial microblogs and news
Keith Cortis, André Freitas, Tobias Daudert, Manuela Huerlimann, Manel Zarrouk, Siegfried Handschuh, and Brian Davis. 2017 · 2017
Earlier work this paper cites.
Www’18 open challenge: Financial opinion mining and question answering
Macedo Maia, Siegfried Handschuh, Andre Freitas, Brian Davis, Ross McDermott, Manel Zarrouk, and Alexandra Balahur. 2018 · 2018
Earlier work this paper cites.
Hybrid deep sequential modeling for social text-driven stock prediction
Huizhe Wu, Wei Zhang, Weiwei Shen, and Jun Wang. 2018 · 2018
Earlier work this paper cites.
Chart-to-text: Generating natural language descriptions for charts by adapting the transformer model
Jason Obeid and Enamul Hoque. 2020 · 2020
Earlier work this paper cites.
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. 2021 · 2021
Earlier work this paper cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever. 2021 · 2021
Earlier work this paper cites.
Impact of news on the commodity market: Dataset and results
Ankur Sinha and Tanmay Khandait. 2021 · 2021
Earlier work this paper cites.
Trade the event: Corporate events detection for news-based event-driven trading
Zhihan Zhou, Liqian Ma, and Han Liu. 2021 · 2021
Cited alongside, same era.
Convfinqa: Exploring the chain of numerical reasoning in conversational finance question answering
Zhiyu Chen, Shiyang Li, Charese Smiley, Zhiqiang Ma, Sameena Shah, and William Yang Wang. 2022 · 2022
Cited alongside, same era.
ChartQA: A benchmark for question answering about charts with visual and logical reasoning
Ahmed Masry, Do Long, Jia Qing Tan, Shafiq Joty, and Enamul Hoque. 2022 · 2022
Cited alongside, same era.
Ectsum: A new benchmark dataset for bullet point summarization of long earnings call transcripts
Rajdeep Mukherjee, Abhinav Bohra, Akash Banerjee, Soumya Sharma, Manjunath Hegde, Afreen Shaikh, Shivani Shrivastava, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, and 1 others. 2022 · 2022
Cited alongside, same era.
Code llama: Open foundation models for code
Baptiste Roziere, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, and 1 others. 2023 · 2023
Later among the works it cites.
To see is to believe: Prompting gpt-4v for better visual instruction tuning
Junke Wang, Lingchen Meng, Zejia Weng, Bo He, Zuxuan Wu, and Yu-Gang Jiang. 2023 · 2023
Later among the works it cites.
FinGPT: Open-source financial large language models
Hongyang Yang, Xiao-Yang Liu, and Christina Dan Wang. 2023 · 2023
Later among the works it cites.
Mammoth: Building math generalist models through hybrid instruction tuning
Xiang Yue, Xingwei Qu, Ge Zhang, Yao Fu, Wenhao Huang, Huan Sun, Yu Su, and Wenhu Chen. 2023 · 2023
Later among the works it cites.
Fintral: A family of gpt-4 level multimodal financial large language models
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Ahmed Nassar, Nikolaos Livathinos, Maksym Lysak, and Peter Staar. 2022 · 2022
Cited alongside, same era.
Accurate stock movement prediction with self-supervised learning from sparse noisy tweets
Yejun Soun, Jaemin Yoo, Minyong Cho, Jihyeong Jeon, and U Kang. 2022 · 2022
Cited alongside, same era.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, and 1 others. 2023 · 2023
Cited alongside, same era.
Sparks of artificial general intelligence: Early experiments with GPT-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, and 1 others. 2023 · 2023
Cited alongside, same era.
Overview of the ntcir-17 finarg-1 task: Fine-grained argument understanding in financial analysis
Chung-Chi Chen, Chin-Yi Lin, Chr-Jr Chiu, Hen-Hsen Huang, Alaa Alhamzeh, Yu-Lieh Huang, Hiroya Takamura, and Hsin-Hsi Chen. 2023 · 2023
Cited alongside, same era.
Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, and 1 others. 2023 · 2023
Cited alongside, same era.
Data-centric FinGPT: Democratizing internet-scale data for financial large language models
Xiao-Yang Liu, Guoxuan Wang, Hongyang Yang, and Daochen Zha. 2023 · 2023
Cited alongside, same era.
Unichart: A universal vision-language pretrained model for chart comprehension and reasoning
Ahmed Masry, Parsa Kavehzadeh, Enamul Hoque, Shafiq Joty, and 1 others. 2023 · 2023
Cited alongside, same era.
Gagan Bhatia, El Moatez Billah Nagoudi, Hasan Cavusoglu, and Muhammad Abdul-Mageed. 2024 · 2024
Closest in time.
Qlora: Efficient finetuning of quantized llms
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer. 2024 · 2024
Closest in time.
Empowering many, biasing a few: Generalist credit scoring through large language models
Duanyu Feng, Yongfu Dai, Jimin Huang, Yifang Zhang, Qianqian Xie, Weiguang Han, Zhengyu Chen, Alejandro Lopez-Lira, and Hao Wang. 2024 · 2024
Closest in time.
A survey of large language models for financial applications: Progress, prospects and challenges
Yuqi Nie, Yaxuan Kong, Xiaowen Dong, John M Mulvey, H Vincent Poor, Qingsong Wen, and Stefan Zohren. 2024 · 2024
Closest in time.
The FineWeb datasets: Decanting the web for the finest text data at scale
Guilherme Penedo, Hynek Kydlíček, Anton Lozhkov, Margaret Mitchell, Colin Raffel, Leandro Von Werra, Thomas Wolf, and 1 others. 2024 · 2024
Closest in time.
Continual learning for large language models: A survey
Tongtong Wu, Linhao Luo, Yuan-Fang Li, Shirui Pan, Thuy-Trang Vu, and Gholamreza Haffari. 2024 · 2024
Closest in time.
FinMem: A performance-enhanced llm trading agent with layered memory and character design
Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Denghui Zhang, Rong Liu, Jordan W Suchow, and Khaldoun Khashanah. 2024 · 2024
Closest in time.
MMMU: A massive multi-discipline multimodal understanding and reasoning benchmark for expert AGI
Xiang Yue, Yuansheng Ni, Kai Zhang, Tianyu Zheng, Ruoqi Liu, Ge Zhang, Samuel Stevens, Dongfu Jiang, Weiming Ren, Yuxuan Sun, Cong Wei, Botao Yu, Ruibin Yuan, Renliang Sun, Ming Yin, Boyuan Zheng, Zhenzhu Yang, Yibo Liu, Wenhao Huang, and 3 others. 2024 · 2024
Closest in time.
Fino1: On the transferability of reasoning enhanced llms to finance
Lingfei Qian, Weipeng Zhou, Yan Wang, Xueqing Peng, Jimin Huang, and Qianqian Xie. 2025 · 2025
Closest in time.