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pro vyhledávání: '"dialogs"'
Autor:
Golany, Lotem, Galgani, Filippo, Mamo, Maya, Parasol, Nimrod, Vandsburger, Omer, Bar, Nadav, Dagan, Ido
Automating data generation with Large Language Models (LLMs) has become increasingly popular. In this work, we investigate the feasibility and effectiveness of LLM-based data generation in the challenging setting of source-grounded information-seekin
Externí odkaz:
http://arxiv.org/abs/2405.01121
Autor:
Askari, Arian, Petcu, Roxana, Meng, Chuan, Aliannejadi, Mohammad, Abolghasemi, Amin, Kanoulas, Evangelos, Verberne, Suzan
Identifying user intents in information-seeking dialogs is crucial for a system to meet user's information needs. Intent prediction (IP) is challenging and demands sufficient dialogs with human-labeled intents for training. However, manually annotati
Externí odkaz:
http://arxiv.org/abs/2402.11633