Work

Improving Industrial Question Answering Chatbots with Domain-Specific LLMs Fine-Tuning

Year: 2024

Type: conference-paper

Source: IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications

DOI: 10.1109/mesa61532.2024.10704843

Authors: Riccardo Rosati, Filippo Antonini, Nikhil Muralikrishna, Flavio Tonetto, Adriano Mancini

Institution: Marche Polytechnic University

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4403278897

FWCI: 2.643

Cites: 20

Cited by: 9

Related to: 10