Macedo Maia, Siegfried Handschuh, André Freitas, Brian Davis, Ross McDermott, Manel Zarrouk, and Alexandra Balahur. 2018. Ww'18 open challenge: financial opinion mining and question answering. In Companion proceedings of the web conference 2018. 1941-1942.
Pekka Malo, Ankur Sinha, Pekka Korhonen, Jyrki Wallenius, and Pyry Takala. 2014. Good debt or bad debt: Detecting semantic orientations in economic texts. Journal of the Association for Information Science and Technology 65, 4 (2014), 782-796.
Rajdeep Mukherjee, Abhinav Bohra, Akash Banerjee, Soumya Sharma, Manjunath Hegde, Afreen Shaikh, Shivani Shrivastava, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, et al. 2022. ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 10893-10906.
Jingwei Ni, Zhijing Jin, Qian Wang, Mrinmaya Sachan, and Markus Leippold. 2023. When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, Toronto, Canada, 7465-7488. https://doi.org/10.18653/v1/2023.acl-long.412
OpenAI. 2023. GPT-4 Technical Report. arXiv:2303.08774 [cs.CL]
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022. Training language models to follow instructions with human feedback. Advances in Neural Information Processing Systems 35 (2022), 27730-27744.
Ross Quinlan. 1987. Statlog (Australian Credit Approval). UCI Machine Learning Repository. DOI: https://doi.org/10.24432/C59012.
Victor Sanh, Albert Webson, Colin Raffel, Stephen H Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, et al. 2022. Multitask Prompted Training Enables Zero-Shot Task Generalization. In ICLR 2022-Tenth International Conference on Learning Representations.
Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilic, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, et al. 2022. Bloom: A 176b-parameter open-access multilingual language model. arXiv preprint arXiv:2211.05100 (2022).
Agam Shah and Sudheer Chava. 2023. Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks. ArXiv abs/2305.16633 (2023). https://api.sementicscholar.org/CorpusID:258941519
Agam Shah, Suvan Paturi, and Sudheer Chava. 2023a. Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL).
Agam Shah, Ruchit Vithani, Abhinav Gullapalli, and Sudheer Chava. 2023b. Finer: Financial named entity recognition dataset and weak-supervision model. arXiv preprint arXiv:2302.11157 (2023).
Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani, Agam Shah, Wendi Du, Sudheer Chava, Natraj Raman, Charese Smiley, Jiaao Chen, and Diyi Yang. 2022. WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain. arXiv preprint arXiv:2211.00083 (2022).
Ankur Sinha and Tanmay Khandait. 2021. Impact of news on the commodity market: Dataset and results. In Advances in Information and Communication: Proceedings of the 2021 Future of Information and Communication Conference (FICC), Volume 2. Springer, 589-601.
Yejun Soun, Jaemin Yoo, Minyong Cho, Jihyeong Jeon, and U Kang. 2022. Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets. In 2022 IEEE International Conference on Big Data (Big Data). IEEE, 1691-1700.