Accepted Papers

Main Track

1. Large Language Model Adaptation for Financial Sentiment Analysis

2. From Numbers to Words: Multi-Modal Bankruptcy Prediction Using the ECL Dataset

3. Headline Generation for Stock Price Fluctuation Articles

4. Audit Report Coverage Assessment using Sentence Classification

5. GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language Models

Shared Task

1. Multi-Lingual ESG Impact Type Identification

2. Identifying ESG Impact with Key Information

3. A low resource framework for Multi-lingual ESG Impact Type Identification

4. GPT-based Solution for ESG Impact Type Identification

5. The Risk and Opportunity of Data Augmentation and Translation for ESG News Impact Identification with Language Models

6. ESG Impact Type Classification: Leveraging Strategic Prompt Engineering and LLM Fine-Tuning

7. Exploring Knowledge Composition for ESG Impact Type Determination

8. Enhancing ESG Impact Type Identification through Early Fusion and Multilingual Models