Improved Sequence Predictions using Knowledge Graph Embedding for Large Language Models-Reference-Cited by-同舟云学术

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Improved Sequence Predictions using Knowledge Graph Embedding for Large Language Models

Published:2023-10-25 Issue: Volume:29 Page:1-5
ISSN:
Container-title:The Third International Conference on Artificial Intelligence and Machine Learning Systems
language:
Short-container-title:

Author:

Khatun Rabina¹^ORCID,Sinhababu Nilanjan²^ORCID

Affiliation:

1. Dr. B.C.Roy Engineering College, India

2. Indian Institute of Technology Kharagpur, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3639856.3639872

Reference20 articles.

1. Gated three-tower transformer for text-driven stock market prediction

2. A Survey on Knowledge Graph Embedding: Approaches, Applications and Benchmarks

3. Rnn-Transducer with Stateless Prediction Network

4. A comprehensive survey and analysis of generative models in machine learning

5. Text prediction recurrent neural networks using long short-term memory-dropout;Iparraguirre-Villanueva Orlando;Indones. J. Electr. Eng. Comput. Sci,2023

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