Zero-Shot Text Matching for Automated Auditing using Sentence Transformers
Author:
Affiliation:
1. Fraunhofer IAIS and University of Bonn,Sankt Augustin and Bonn,Germany
2. Fraunhofer IAIS,Sankt Augustin,Germany
3. PWC GmbH WPG,Frankfurt a. M.,Germany
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10068862/10068777/10069326.pdf?arnumber=10069326
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1. Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation
2. TSDAE: Using Transformer-based Sequential Denoising Auto-Encoderfor Unsupervised Sentence Embedding Learning
3. Towards Generating Financial Reports from Tabular Data Using Transformers
4. SimCSE: Simple Contrastive Learning of Sentence Embeddings
5. Attention is all you need;vaswani,2017
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1. Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models;2023 IEEE International Conference on Big Data (BigData);2023-12-15
2. Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models;2023 IEEE International Conference on Big Data (BigData);2023-12-15
3. Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models;Proceedings of the ACM Symposium on Document Engineering 2023;2023-08-22
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