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Found 3 papers, 1 papers with code
Controlled Randomness Improves the Performance of Transformer Models
During the pre-training step of natural language models, the main objective is to learn a general representation of the pre-training dataset, usually requiring large amounts of textual data to capture the complexity and diversity of natural language.
Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models
Auditing financial documents is a very tedious and time-consuming process.
sustain.AI: a Recommender System to analyze Sustainability Reports
We present sustainAI, an intelligent, context-aware recommender system that assists auditors and financial investors as well as the general public to efficiently analyze companies' sustainability reports.
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