Accepted Papers

Main Track

• 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 Septiandri and Reinhard Denis Najogie

• Development and Evaluation of a German Language Model for the Financial Domain

Nata Kozaeva, Serhii Hamotskyi and Christian Hänig

• 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

• BRC: Banking Regulation Corpora

Rafael Faria de Azevedo, Thiago Henrique Eduardo Muniz, Claudio Pimentel, Guilherme José de Assis Foureaux, Bárbara 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 AlNajjar, Yulan He and Xinyu Wang

• "Cheep" 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, Classification, and Academic Q&A in Economic Research

Onur Keles and Ömer Turan Bayraklı

Shared Task - ML-ESG

• 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

• Duration Dynamics: Fin-Turbo's Rapid Route to ESG Impact Insight

Weijie Yang and Xinyun Rong

• Multilingual ESG News Impact Identification using Ensemble Approach

Harika Abburi, Ajay Kumar, Edward Bowen and Balaji Veeramani

• 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 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, 찬영 김, 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 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 - Cross-lingual Classification of Corporate Social Responsibility (CSR) Themes and Topics

• 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, Andriy Kosar, Guy De Pauw, and Walter Daelemans

• Improving Cross-Lingual CSR Classification using Pretrained Transformers with Variable Selection Networks and Data Augmentation

Shubham Sharma, Himanshu Janbandhu and Ankush Chopra