| Papers
[pdf] [bib]
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pages |
Construction of a Japanese Financial Benchmark for Large Language Models
Masanori Hirano
[pdf] [bib] [supplementary]
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pp. 1‑9 |
KRX Bench: Automating Financial Benchmark Creation via Large Language Models
Guijin Son, Hyunjun Jeon, CHAMI HWANG and Hanearl Jung
[pdf] [bib]
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pp. 10‑20 |
BLU-SynTra: Distinguish Synergies and Trade-offs between Sustainable Development Goals Using Small Language Models
Loris Bergeron, Jerome Francois, Radu State and Jean Hilger
[pdf] [bib]
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pp. 21‑33 |
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
[pdf] [bib]
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pp. 34‑39 |
Development and Evaluation of a German Language Model for the Financial Domain
Nata Kozaeva, Serhii Hamotskyi and Christian Hanig
[pdf] [bib]
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pp. 40‑49 |
Evaluating Multilingual Language Models for Cross-Lingual ESG Issue Identification
Wing Yan Li, Emmanuele Chersoni and Cindy Sing Bik Ngai
[pdf] [bib]
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pp. 50‑58 |
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
[pdf] [bib]
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pp. 59‑69 |
NetZeroFacts: Two-Stage Emission Information Extraction from Company Reports
Marco Wrzalik, Florian Faust, Simon Sieber and Adrian Ulges
[pdf] [bib]
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pp. 70‑84 |
FB-GAN: A Novel Neural Sentiment-Enhanced Model for Stock Price Prediction
Jainendra Kumar Jain and Ruchit Agrawal
[pdf] [bib]
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pp. 85‑93 |
Unveiling Currency Market Dynamics: Leveraging Federal Reserve Communications for Strategic Investment Insights
Martina Menzio, Davide Paris and Elisabetta Fersini
[pdf] [bib]
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pp. 94‑102 |
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
[pdf] [bib]
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pp. 103‑118 |
Exploring Large Language Models in Financial Argument Relation Identification
Yasser Otiefy and Alaa Alhamzeh
[pdf] [bib]
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pp. 119‑129 |
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
[pdf] [bib]
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pp. 130‑136 |
ESG-FTSE: A Corpus of News Articles with ESG Relevance Labels and Use Cases
Mariya Pavlova, Bernard Casey and Miaosen Wang
[pdf] [bib] [supplementary]
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pp. 137‑149 |
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
[pdf] [bib]
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pp. 150‑166 |
Stock Price Prediction with Sentiment Analysis for Chinese Market
Yuchen Luan, Haiyang Zhang, Chenlei Zhang, Yida Mu and Wei Wang
[pdf] [bib]
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pp. 167‑177 |
Topic Taxonomy Construction from ESG Reports
Saif Majdi AlNajjar, Xinyu Wang and Yulan He
[pdf] [bib]
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pp. 178‑187 |
Duration Dynamics: Fin-Turbo’s Rapid Route to ESG Impact Insight
Weijie Yang and Xinyun Rong
[pdf] [bib]
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pp. 188‑196 |
Multilingual ESG News Impact Identification Using an Augmented Ensemble Approach
Harika Abburi, Ajay Kumar, Edward Bowen and Balaji Veeramani
[pdf] [bib]
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pp. 197‑202 |
Cheap Talk: Topic Analysis of CSR Themes on Corporate Twitter
Nile Phillips, Sathvika Anand, Michelle Lum, Manisha Goel, Michelle Zemel and Alexandra Schofield
[pdf] [bib]
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pp. 203‑211 |
LLaMA-2-Econ: Enhancing Title Generation, Abstract Classification, and Academic Q&A in Economic Research
Onur Keles and Omer Turan Bayraklı
[pdf] [bib]
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pp. 212‑218 |
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
[pdf] [bib]
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pp. 219‑227 |
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
[pdf] [bib]
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pp. 228‑233 |
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
[pdf] [bib]
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pp. 234‑243 |
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
[pdf] [bib]
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pp. 244‑247 |
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
[pdf] [bib]
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pp. 248‑253 |
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
[pdf] [bib]
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pp. 254‑260 |
ESG Classification by Implicit Rule Learning via GPT-4
Yun Hyojeong, Kim Chanyoung, Moonjeong Hahm, Kyuri Kim and Guijin Son
[pdf] [bib]
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pp. 261‑268 |
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
[pdf] [bib]
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pp. 269‑273 |
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
[pdf] [bib]
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pp. 274‑278 |
ESG-GPT:GPT4-Based Few-Shot Prompt Learning for Multi-lingual ESG News Text Classification
Ke Tian and Hua Chen
[pdf] [bib]
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pp. 279‑282 |
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
[pdf] [bib]
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pp. 283‑291 |
Advancing CSR Theme and Topic Classification: LLMs and Training Enhancement Insights
Jens Van Nooten and Andriy Kosar
[pdf] [bib]
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pp. 292‑305 |
Improving Cross-Lingual CSR Classification Using Pretrained Transformers with Variable Selection Networks and Data Augmentation
Shubham Sharma, Himanshu Janbandhu and Ankush Chopra
[pdf] [bib]
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pp. 306‑318 |
