What's In Your Field? Mapping Scientific Research with Knowledge Graphs and Large Language Models

12 March 2025

Papers citing "What's In Your Field? Mapping Scientific Research with Knowledge Graphs and Large Language Models"

6 / 6 papers shown

Title
Retrieval-Augmented Generation for Large Language Models: A Survey Yunfan Gao Yun Xiong Xinyu Gao Kangxiang Jia Jinliu Pan Yuxi Bi Yi Dai Jiawei Sun Meng Wang Haofen Wang 3DV RALM 94 1,701 1 18 Dec 2023
PaperQA: Retrieval-Augmented Generative Agent for Scientific Research Jakub Lála Odhran O'Donoghue Aleksandar Shtedritski Sam Cox Samuel G. Rodriques Andrew D. White RALM 100 81 0 08 Dec 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 457 4,077 0 24 May 2022
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study Rahul Nadkarni David Wadden Iz Beltagy Noah A. Smith Hannaneh Hajishirzi Tom Hope 54 27 0 17 Jun 2021
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 517 41,106 0 28 May 2020
Predicting Research Trends with Semantic and Neural Networks with an application in Quantum Physics Mario Krenn A. Zeilinger GNN 43 76 0 17 Jun 2019