Fetching the paper…
Reading the bibliography…
In applications such as personal assistants, large language models (LLMs) must consider the user's personal information and preferences.
Entity-Relation Extraction as Multi-Turn Question Answering, September 2019
Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou, and Jiwei Li · 1905
Earlier work this paper cites.
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training, December 2020
Qipeng Guo, Zhijing Jin, Xipeng Qiu, Weinan Zhang, David Wipf, and Zheng Zhang · 2006
Earlier work this paper cites.
Ontology Guided Information Extraction from Unstructured Text
Raghu Anantharangachar, Srinivasan Ramani, and S. Rajagopalan · 2013
Earlier work this paper cites.
Yi Xu, Luoyi Fu, Zhouhan Lin, Jiexing Qi, and Xinbing Wang · 2022
Earlier work this paper cites.
Neurosymbolic AI – Why, What, and How, May 2023
Amit Sheth, Kaushik Roy, and Manas Gaur · 2023
Earlier work this paper cites.
Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG, March 2023
Fajar J. Ekaputra, Majlinda Llugiqi, Marta Sabou, Andreas Ekelhart, Heiko Paulheim, Anna Breit, Artem Revenko, Laura Waltersdorfer, Kheir Eddine Farfar, and Sören Auer · 2023
Earlier work this paper cites.
LLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT, July 2023
Lars-Peter Meyer, Claus Stadler, Johannes Frey, Norman Radtke, Kurt Junghanns, Roy Meissner, Gordian Dziwis, Kirill Bulert, and Michael Martin · 2023
Cited alongside, same era.
LLMs4OL: Large Language Models for Ontology Learning, August 2023
Hamed Babaei Giglou, Jennifer D’Souza, and Sören Auer · 2023
Cited alongside, same era.
Ontology engineering with Large Language Models, July 2023
Patricia Mateiu and Adrian Groza · 2023
Cited alongside, same era.
PIVOINE: Instruction Tuning for Open-world Information Extraction, May 2023
Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, and Jianshu Chen · 2023
Cited alongside, same era.
Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation from Text, August 2023
MLX: Efficient and flexible machine learning on Apple silicon
Awni Hannun, Jagrit Digani, Angelos Katharopoulos, and Ronan Collobert · 2023
Later among the works it cites.
QLoRA: Efficient Finetuning of Quantized LLMs, May 2023
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer · 2023
Later among the works it cites.
Open LLM Leaderboard
Edward Beeching, Clementine Fourrier, Nathan Habib, Sheon Han, Nathan Lambert, Nazneen Rajani, Omar Sanseviero, Lewis Tunstall, and Thomas Wolf · 2023
Later among the works it cites.
Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed · 2023
Later among the works it cites.
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey, May 2024
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Nandana Mihindukulasooriya, Sanju Tiwari, Carlos F. Enguix, and Kusum Lata · 2023
Cited alongside, same era.
Towards Ontology Construction with Language Models, September 2023
Maurice Funk, Simon Hosemann, Jean Christoph Jung, and Carsten Lutz · 2023
Cited alongside, same era.
Llama 2: Open foundation and fine-tuned chat models, 2023
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurelien Rodriguez, Robert Stojnic, Sergey Edunov, and Thomas Scialom
Cited in the paper.
Lauren Nicole DeLong, Ramon Fernández Mir, and Jacques D. Fleuriot · 2024
Closest in time.
Prompt-Time Symbolic Knowledge Capture with Large Language Models, February 2024
Tolga Çöplü, Arto Bendiken, Andrii Skomorokhov, Eduard Bateiko, Stephen Cobb, and Joshua J. Bouw · 2024
Closest in time.