Fine-tuning and prompt engineering for large language models-based code review automation

BLEU

Kishore Papineni, Salim Roukos, Todd J. Ward et al. · 2001 · 20.9K citations · Full text

Natural Language Processing, Computer-assisted Translation, Engineering +10

Evaluating the Effectiveness of Large Language Models in Representing Textual Descriptions of Geometry and Spatial Relations (Short Paper)

DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2023 · 14.1K citations · Full text

BNAI, NO-TOKEN, and MIND-UNITY: Pillars of a Systemic Revolution in Artificial Intelligence

Xuezhi Wang, Dale Schuurmans, Maarten Bosma · arXiv (Cornell University) · 2022 · 4.2K citations · Full text

LLaMA: Open and Efficient Foundation Language Models

Hugo Touvron, Thibaut Lavril, Gautier Izacard et al. · arXiv (Cornell University) · 2023 · 3.8K citations · Full text

Llm Fine-tuning, Engineering, Machine Learning +16

The Probabilistic Relevance Framework: BM25 and Beyond

Stephen Robertson, Hugo Zaragoza · Foundations and Trends® in Information Retrieval · 2009 · 2.6K citations

Engineering, Information Retrieval, Data Science +8