Fetching the paper…
Reading the bibliography…
Large language models (LLMs) have demonstrated great potential in natural language processing tasks within the financial domain.
Finbert: Financial sentiment analysis with pre-trained language models
Araci, D. 2019 · 1908
Earlier work this paper cites.
Www’18 open challenge: financial opinion mining and question answering
Maia, M.; Handschuh, S.; Freitas, A.; Davis, B.; McDermott, R.; Zarrouk, M.; and Balahur, A. 2018 · 1942
Earlier work this paper cites.
Locality-sensitive hashing scheme based on p-stable distributions
Datar, M.; Immorlica, N.; Indyk, P.; and Mirrokni, V. S. 2004 · 2004
Earlier work this paper cites.
Finbert: A pretrained language model for financial communications
Yang, Y.; Uy, M. C. S.; and Huang, A. 2020 · 2006
Earlier work this paper cites.
Trading strategies to exploit blog and news sentiment
Zhang, W.; and Skiena, S. 2010 · 2010
Earlier work this paper cites.
Using structured events to predict stock price movement: An empirical investigation
Ding, X.; Zhang, Y.; Liu, T.; and Duan, J. 2014 · 2014
Earlier work this paper cites.
Good debt or bad debt: Detecting semantic orientations in economic texts
Malo, P.; Sinha, A.; Korhonen, P.; Wallenius, J.; and Takala, P. 2014 · 2014
Earlier work this paper cites.
Domain adaption of named entity recognition to support credit risk assessment
Alvarado, J. C. S.; Verspoor, K.; and Baldwin, T. 2015 · 2015
Earlier work this paper cites.
Decoupled weight decay regularization
Loshchilov, I.; and Hutter, F. 2017 · 2017
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2018 · 2018
Earlier work this paper cites.
Improving language understanding by generative pre-training
Radford, A.; Narasimhan, K.; Salimans, T.; Sutskever, I.; et al. 2018 · 2018
Earlier work this paper cites.
Language models are few-shot learners
Brown, T.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J. D.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; et al. 2020 · 2020
Earlier work this paper cites.
F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification
Liang, X.; Cheng, D.; Yang, F.; Luo, Y.; Qian, W.; and Zhou, A. 2020 · 2020
Earlier work this paper cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
Raffel, C.; Shazeer, N.; Roberts, A.; Lee, K.; Narang, S.; Matena, M.; Zhou, Y.; Li, W.; and Liu, P. J. 2020 · 2020
Cited alongside, same era.
Finqa: A dataset of numerical reasoning over financial data
Chen, Z.; Chen, W.; Smiley, C.; Shah, S.; Borova, I.; Langdon, D.; Moussa, R.; Beane, M.; Huang, T.-H.; Routledge, B.; et al. 2021 · 2021
Cited alongside, same era.
FinRL: Deep reinforcement learning framework to automate trading in quantitative finance
Liu, X.-Y.; Yang, H.; Gao, J.; and Wang, C. D. 2021 · 2021
Cited alongside, same era.
Impact of news on the commodity market: Dataset and results
Sinha, A.; and Khandait, T. 2021 · 2021
Cited alongside, same era.
Zeng, W.; Ren, X.; Su, T.; Wang, H.; Liao, Y.; Wang, Z.; Jiang, X.; Yang, Z.; Wang, K.; Zhang, X.; et al. 2021 · 2021
When flue meets flang: Benchmarks and large pre-trained language model for financial domain
Shah, R. S.; Chawla, K.; Eidnani, D.; Shah, A.; Du, W.; Chava, S.; Raman, N.; Smiley, C.; Chen, J.; and Yang, D. 2022 · 2022
Later among the works it cites.
Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets
Soun, Y.; Yoo, J.; Cho, M.; Jeon, J.; and Kang, U. 2022 · 2022
Later among the works it cites.
Lu, D.; Liang, J.; Xu, Y.; He, Q.; Geng, Y.; Han, M.; Xin, Y.; Wu, H.; and Xiao, Y. 2023 · 2023
Closest in time.
ChatGPT-4
OpenAI. 2023 · 2023
Closest in time.
MOSS: Training Conversational Language Models from Synthetic Data
Sun, T.; Zhang, X.; He, Z.; Li, P.; Cheng, Q.; Yan, H.; Liu, X.; Shao, Y.; Tang, Q.; Zhao, X.; Chen, K.; Zheng, Y.; Zhou, Z.; Li, R.; Zhan, J.; Zhou, Y.; Li, L.; Yang, X.; Wu, L.; Yin, Z.; Huang, X.; and Qiu, X. 2023 · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Mengzi: Towards lightweight yet ingenious pre-trained models for chinese
Zhang, Z.; Zhang, H.; Chen, K.; Guo, Y.; Hua, J.; Wang, Y.; and Zhou, M. 2021 · 2021
Cited alongside, same era.
Gpt-neox-20b: An open-source autoregressive language model
Black, S.; Biderman, S.; Hallahan, E.; Anthony, Q.; Gao, L.; Golding, L.; He, H.; Leahy, C.; McDonell, K.; Phang, J.; et al. 2022 · 2022
Cited alongside, same era.
Convfinqa: Exploring the chain of numerical reasoning in conversational finance question answering
Chen, Z.; Li, S.; Smiley, C.; Ma, Z.; Shah, S.; and Wang, W. Y. 2022 · 2022
Cited alongside, same era.
Financial time series forecasting with multi-modality graph neural network
Cheng, D.; Yang, F.; Xiang, S.; and Liu, J. 2022 · 2022
Cited alongside, same era.
GLM: General Language Model Pretraining with Autoregressive Blank Infilling
Du, Z.; Qian, Y.; Liu, X.; Ding, M.; Qiu, J.; Yang, Z.; and Tang, J. 2022 · 2022
Cited alongside, same era.
Lora: Low-rank adaptation of large language models
Hu, E. J.; Shen, Y.; Wallis, P.; Allen-Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; and Chen, W. 2022 · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
Ouyang, L.; Wu, J.; Jiang, X.; Almeida, D.; Wainwright, C.; Mishkin, P.; Zhang, C.; Agarwal, S.; Slama, K.; Ray, A.; et al. 2022 · 2022
Cited alongside, same era.
Closest in time.
Bloomberggpt: A large language model for finance
Wu, S.; Irsoy, O.; Lu, S.; Dabravolski, V.; Dredze, M.; Gehrmann, S.; Kambadur, P.; Rosenberg, D.; and Mann, G. 2023 · 2023
Closest in time.
PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance
Xie, Q.; Han, W.; Zhang, X.; Lai, Y.; Peng, M.; Lopez-Lira, A.; and Huang, J. 2023 · 2023
Closest in time.
FinGPT: Open-Source Financial Large Language Models
Yang, H.; Liu, X.-Y.; and Wang, C. D. 2023 · 2023
Closest in time.
Cornucopia-LLaMA-Fin-Chinese
Yu, Y. 2023 · 2023
Closest in time.
Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models
Zhang, B.; Yang, H.; and Liu, X.-Y. 2023 · 2023
Closest in time.
FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models
Zhang, L.; Cai, W.; Liu, Z.; Yang, Z.; Dai, W.; Liao, Y.; Qin, Q.; Li, Y.; Liu, X.; Liu, Z.; et al. 2023 · 2023
Closest in time.
Self-QA: Unsupervised Knowledge Guided Language Model Alignment
Zhang, X.; and Yang, Q. 2023 · 2023
Closest in time.
XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters
Zhang, X.; Yang, Q.; and Xu, D. 2023 · 2023
Closest in time.