NLPExplorer

FinNLP - 2023

Total Papers:- 32

Total Papers accross all years:- 85

Total Citations :- 0

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

Pawan Rajpoot | Ankur Parikh |

Large Language Model Adaptation for Financial Sentiment Analysis

Team HHU at the FinNLP-2023 ML-ESG Task: A Multi-Model Approach to ESG-Key-Issue Classification

Fabian Billert | Stefan Conrad |

Multi-Lingual ESG Impact Type Identification

HKESG at the ML-ESG Task: Exploring Transformer Representations for Multilingual ESG Issue Identification

Ivan Mashkin | Emmanuele Chersoni |

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

Soumya Mishra |

Identifying ESG Impact with Key Information

Model-Agnostic Meta-Learning for Natural Language Understanding Tasks in Finance

Bixing Yan | Shaoling Chen | Yuxuan He | Zhihan Li |

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

Henri Arno | Klaas Mulier | Joke Baeck | Thomas Demeester |

LoKI:Money Laundering Report Generation via Logical Table-to-Text using Meta Learning

Leveraging Contrastive Learning with BERT for ESG Issue Identification

Weiwei Wang | Wenyang Wei | Qingyuan Song | Yansong Wang |

Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing and the Second Multimodal AI For Financial Forecasting

A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models

Multi-Lingual ESG Issue Identification

Jetsons at the FinNLP-2023: Using Synthetic Data and Transfer Learning for Multilingual ESG Issue Classification