| | Construction of a Japanese Financial Benchmark for Large Language Models
Masanori Hirano |
| | KRX Bench: Automating Financial Benchmark Creation via Large Language Models
Guijin Son, Hyunjun Jeon, CHAMI HWANG and Hanearl Jung |
| | BLU-SynTra: Distinguish Synergies and Trade-offs between Sustainable Development Goals Using Small Language Models
Loris Bergeron, Jerome Francois, Radu State and Jean Hilger |
| | Assessing the Impact of ESG-Related News on Stock Trading in the Indonesian Market: A Text Similarity Framework Approach
Okiriza Wibisono, Ali Akbar Septiandri and Reinhard Denis Najogie |
| | Development and Evaluation of a German Language Model for the Financial Domain
Nata Kozaeva, Serhii Hamotskyi and Christian Hanig |
| | Evaluating Multilingual Language Models for Cross-Lingual ESG Issue Identification
Wing Yan Li, Emmanuele Chersoni and Cindy Sing Bik Ngai |
| | Modal-adaptive Knowledge-enhanced Graph-based Financial Prediction from Monetary Policy Conference Calls with LLM
Kun Ouyang, Yi Liu, Shicheng Li, Ruihan Bao, Keiko Harimoto and Xu Sun |
| | NetZeroFacts: Two-Stage Emission Information Extraction from Company Reports
Marco Wrzalik, Florian Faust, Simon Sieber and Adrian Ulges |
| | FB-GAN: A Novel Neural Sentiment-Enhanced Model for Stock Price Prediction
Jainendra Kumar Jain and Ruchit Agrawal |
| | Unveiling Currency Market Dynamics: Leveraging Federal Reserve Communications for Strategic Investment Insights
Martina Menzio, Davide Paris and Elisabetta Fersini |
| | Analysis of Material Facts on Financial Assets: A Generative AI Approach
Gabriel Assis, Daniela Vianna, Gisele L. Pappa, Alexandre Plastino, Wagner Meira Jr, Altigran Soares da Silva and Aline Paes |
| | Exploring Large Language Models in Financial Argument Relation Identification
Yasser Otiefy and Alaa Alhamzeh |
| | Keyword-based Annotation of Visually-Rich Document Content for Trend and Risk Analysis Using Large Language Models
Giuseppe Gallipoli, Simone Papicchio, Lorenzo Vaiani, Luca Cagliero, Arianna Miola and Daniele Borghi |
| | ESG-FTSE: A Corpus of News Articles with ESG Relevance Labels and Use Cases
Mariya Pavlova, Bernard Casey and Miaosen Wang |
| | BBRC: Brazilian Banking Regulation Corpora
Rafael Faria de Azevedo, Thiago Henrique Eduardo Muniz, Claudio Pimentel, Guilherme Jose de Assis Foureaux, Barbara Caldeira Macedo and Daniel de Lima Vasconcelos |
| | Stock Price Prediction with Sentiment Analysis for Chinese Market
Yuchen Luan, Haiyang Zhang, Chenlei Zhang, Yida Mu and Wei Wang |
| | Topic Taxonomy Construction from ESG Reports
Saif Majdi AlNajjar, Xinyu Wang and Yulan He |
| | Duration Dynamics: Fin-Turbo’s Rapid Route to ESG Impact Insight
Weijie Yang and Xinyun Rong |
| | Multilingual ESG News Impact Identification Using an Augmented Ensemble Approach
Harika Abburi, Ajay Kumar, Edward Bowen and Balaji Veeramani |
| | Cheap Talk: Topic Analysis of CSR Themes on Corporate Twitter
Nile Phillips, Sathvika Anand, Michelle Lum, Manisha Goel, Michelle Zemel and Alexandra Schofield |
| | LLaMA-2-Econ: Enhancing Title Generation, Abstract Classification, and Academic Q&A in Economic Research
Onur Keles and Omer Turan Bayraklı |
| | Multi-Lingual ESG Impact Duration Inference
Chung-Chi Chen, Yu-Min Tseng, Juyeon Kang, Anais Lhuissier, Yohei Seki, Hanwool Lee, Min-Yuh Day, Teng-Tsai Tu and Hsin-Hsi Chen |
| | IMNTPU at ML-ESG-3: Transformer Language Models for Multi-Lingual ESG Impact Type and Duration Classification
Yu Han Kao, Vidhya Nataraj, Ting-Chi Wang, Yu-Jyun Zheng, Hsiao-Chuan Liu, Wen-Hsuan Liao, Chia-Tung Tsai and Min-Yuh Day |
| | DICE @ ML-ESG-3: ESG Impact Level and Duration Inference Using LLMs for Augmentation and Contrastive Learning
Konstantinos Bougiatiotis, Andreas Sideras, Elias Zavitsanos and Georgios Paliouras |
| | Fine-tuning Language Models for Predicting the Impact of Events Associated to Financial News Articles
Neelabha Banerjee, Anubhav Sarkar, Swagata Chakraborty, Sohom Ghosh and Sudip Kumar Naskar |
| | CriticalMinds: Enhancing ML Models for ESG Impact Analysis Categorisation Using Linguistic Resources and Aspect-Based Sentiment Analysis
Iana Atanassova, Marine Potier, Maya Mathie, Marc Bertin and Panggih Kusuma Ningrum |
| | Jetsons at FinNLP 2024: Towards Understanding the ESG Impact of a News Article Using Transformer-based Models
Parag Pravin Dakle, Alolika Gon, Sihan Zha, Liang Wang, Sai Krishna Rallabandi and Preethi Raghavan |
| | ESG Classification by Implicit Rule Learning via GPT-4
Yun Hyojeong, Kim Chanyoung, Moonjeong Hahm, Kyuri Kim and Guijin Son |
| | Leveraging Semi-Supervised Learning on a Financial-Specialized Pre-trained Language Model for Multilingual ESG Impact Duration and Type Classification
Jungdae Kim, eunkwang jeon and Jeon Sang Hyun |
| | Adapting LLM to Multi-lingual ESG Impact and Length Prediction Using In-context Learning and Fine-Tuning with Rationale
Pawan Kumar Rajpoot, Ashvini Jindal and Ankur Parikh |
| | ESG-GPT:GPT4-Based Few-Shot Prompt Learning for Multi-lingual ESG News Text Classification
Ke Tian and Hua Chen |
| | Shared Task for Cross-lingual Classification of Corporate Social Responsibility (CSR) Themes and Topics
Yola Nayekoo, Sophia Katrenko, Veronique Hoste, Aaron Maladry and Els Lefever |
| | Advancing CSR Theme and Topic Classification: LLMs and Training Enhancement Insights
Jens Van Nooten and Andriy Kosar |
| | Improving Cross-Lingual CSR Classification Using Pretrained Transformers with Variable Selection Networks and Data Augmentation
Shubham Sharma, Himanshu Janbandhu and Ankush Chopra |
