Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance
Lefteris Loukas, Ilias Stogiannidis, Prodromos Malakasiotis and Stavros Vassos ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection
Yihao Fang, Xianzhi Li, Stephen Thomas and Xiaodan Zhu Beyond Classification: Financial Reasoning in State-of-the-Art Language Models
Guijin Son, Hanearl Jung, Moonjeong Hahm, Keonju Na and Sol Jin Textual Evidence Extraction for ESG Scores
Naoki Kannan and Yohei Seki A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models
Lele Cao, Vilhelm von Ehrenheim, Astrid Berghult, Cecilia Henje, Richard Anselmo Stahl, Joar Wandborg, Sebastian Stan, Armin Catovic, Erik Ferm and Hannes Ingelhag LoKI: Money Laundering Report Generation via Logical Table-to-Text using Meta Learning
Harika Cm, Debasmita Das, Ram Ganesh V, Rajesh Kumar Ranjan and Siddhartha Asthana DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data
Yancheng Liang, Jiajie Zhang, Hui Li, Xiaochen Liu, Yi Hu, Yong Wu, Jiaoyao Zhang, Yongyan Liu and Yi Wu Reducing tokenizer's tokens per word ratio in Financial domain with T-MuFin BERT Tokenizer
Braulio Blanco Lambruschini, Patricia Becerra-Sanchez, Mats Brorsson and Maciej Zurad Using Deep Learning to Find the Next Unicorn: A Practical Synthesis on Optimization Target, Feature Selection, Data Split and Evaluation Strategy
Lele Cao, Vilhelm von Ehrenheim, Sebastian Krakowski, Xiaoxue Li and Alexandra Lutz Model-Agnostic Meta-Learning for Natural Language Understanding Tasks in Finance
Bixing Yan, Shaoling Chen, Yuxuan He and Zhihan Li Multi-Lingual ESG Issue Identification
Chung-Chi Chen, Yu-Min Tseng, Juyeon Kang, Anaïs Lhuissier, Min-Yuh Day, Teng-Tsai Tu, Hsin-Hsi Chen
Leveraging Contrastive Learning with BERT for ESG Issue Identification
Weiwei Wang, Wenyang Wei, Qingyuan Song and Yansong Wang Leveraging BERT Language Models for Multi-Lingual ESG Issue Identification
Elvys Linhares Pontes, Mohamed Benjannet and Lam Kim Ming EaSyGuide : ESG Issue Identification Framework leveraging Abilities of Generative Large Language Models
Hanwool Lee, Jonghyun Choi, Sohyeon Kwon and Sungbum Jung Jetsons at the FinNLP-2023: Using Synthetic Data and Transfer Learning for Multilingual ESG Issue Classification
Parker Glenn, Alolika Gon, Nikhil Kohli, Sihan Zha, Parag Pravin Dakle and Preethi Raghavan HKESG at the ML-ESG Task: Exploring Transformer Representations for Multilingual ESG Issue Identification
Ivan Mashkin and Emmanuele Chersoni Team HHU at the FinNLP-2023 ML-ESG Task: A Multi-Model Approach to ESG-Key-Issue Classification
Fabian Billert and Stefan Conrad