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Found 2 papers, 1 papers with code
LLM+Reasoning+Planning for supporting incomplete user queries in presence of APIs
The key idea behind our proposed approach is to leverage logical reasoning and classical AI planning along with an LLM for accurately answering user queries including identification and gathering of any missing information in these queries.
Unsupervised Improvement of Factual Knowledge in Language Models
In this work, we propose an approach for influencing MLM pretraining in a way that can improve language model performance on a variety of knowledge-intensive tasks.
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