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Bali, Indonesia (Local Time)Main Track (15 mins presentation + 5 mins QA) & Shared Task (8 mins presentation + 2 mins QA)
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14:00 - 14:10Opening
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14:10 - 14:30Large Language Model Adaptation for Financial Sentiment Analysis
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14:30 - 14:50From Numbers to Words: Multi-Modal Bankruptcy Prediction Using the ECL Dataset
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14:50 - 15:10Headline Generation for Stock Price Fluctuation Articles
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15:10 - 15:30Audit Report Coverage Assessment using Sentence Classification
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15:30 - 16:00Coffee Break
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16:00 - 16:20GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language Models
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16:20 - 16:30Multi-Lingual ESG Impact Type Identification
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16:30 - 16:40Identifying ESG Impact with Key Information
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16:40 - 16:50A low resource framework for Multi-lingual ESG Impact Type Identification
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16:50 - 17:00GPT-based Solution for ESG Impact Type Identification
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17:00 - 17:10
The Risk and Opportunity of Data Augmentation and Translation for ESG News Impact Identification with Language Model
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17:10 - 17:20ESG Impact Type Classification: Leveraging Strategic Prompt Engineering and LLM Fine-Tuning
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17:20 - 17:30Exploring Knowledge Composition for ESG Impact Type Determination
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17:30 - 17:40Enhancing ESG Impact Type Identification through Early Fusion and Multilingual Models
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17:40 - 17:45Closing
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