2025
COLING
COLING 2025
Extracting Financial Causality through QA: Insights from FinCausal 2025 Spanish Subtask
Abstract
AbstractThe methodology tested both span extraction and generative tasks, with generative models ultimately proving to be more effective. SuperLenia, a private generative model, was the best-performing model. It is a combination of public models with sizes ranging from 7B to 8B parameters. SuperLenia was fine-tuned using QLoRA in a chat-based framework, and hyperparameter tuned during inference, including adjustments to temperature and sampling, further enhanced its performance.
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Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Knowledge & Reasoning and Machine Learning and Natural Language Processing
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Keyword Pioneer
— financial causality
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Deep Learning > Models > Generative Models
Natural Language Processing > Generation > Text Generation
Knowledge & Reasoning > Reasoning > Causal Inference
Machine Learning > Learning Types > Representation Learning
Artificial Intelligence > Core AI > Large Language Models
Machine Learning > Learning Types > Fine-Tuning