AGENTiGraph: An Interactive Knowledge Graph Platform for LLM-based Chatbots Utilizing Private Data

Language models are few-shot learners

Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 1901

Earlier work this paper cites.

Semantics and complexity of sparql

Jorge Pérez, Marcelo Arenas, and Claudio Gutierrez. 2009 · 2009

Earlier work this paper cites.

Graph database applications and concepts with neo4j

Justin J Miller. 2013 · 2013

Earlier work this paper cites.

A review of relational machine learning for knowledge graphs

Maximilian Nickel, Kevin Murphy, Volker Tresp, and Evgeniy Gabrilovich. 2015 · 2015

Earlier work this paper cites.

End-to-end relation extraction using LSTMs on sequences and tree structures

Makoto Miwa and Mohit Bansal. 2016 · 2016

Earlier work this paper cites.

Survey on challenges of question answering in the semantic web

Marta Sabou, Konrad Höffner, Sebastian Walter, Edgard Marx, Ricardo Usbeck, Jens Lehmann, and Axel-Cyrille Ngonga Ngomo. 2017 · 2017

Earlier work this paper cites.

Handling scalable approximate queries over nosql graph databases: Cypherf and the fuzzy4s framework

Arnaud Castelltort and Trevor Martin. 2018 · 2018

Earlier work this paper cites.

Cypher: An evolving query language for property graphs

Nadime Francis, Alastair Green, Paolo Guagliardo, Leonid Libkin, Tobias Lindaaker, Victor Marsault, Stefan Plantikow, Mats Rydberg, Petra Selmer, and Andrés Taylor. 2018 · 2018

Earlier work this paper cites.

Natural questions: a benchmark for question answering research

Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, et al. 2019 · 2019

Earlier work this paper cites.

Sentence-bert: Sentence embeddings using siamese bert-networks

Nils Reimers and Iryna Gurevych. 2019 · 2019

Earlier work this paper cites.

Application of pre-training models in named entity recognition

Yu Wang, Yining Sun, Zuchang Ma, Lisheng Gao, Yang Xu, and Ting Sun. 2020b · 2020

Earlier work this paper cites.

Multilingualization of a natural language inference dataset using machine translation (japanese)

Takumi Yoshikoshi, Daisuke Kawahara, and Sadao Kurohashi. 2020 · 2020

Earlier work this paper cites.

Regulatory compliance through Doc2Doc information retrieval: A case study in EU/UK legislation where text similarity has limitations

Ilias Chalkidis, Manos Fergadiotis, Nikolaos Manginas, Eva Katakalou, and Prodromos Malakasiotis. 2021 · 2021

Earlier work this paper cites.

A survey on knowledge graphs: Representation, acquisition, and applications

Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, and S Yu Philip. 2021 · 2021

Cited alongside, same era.

Relational world knowledge representation in contextual language models: A review

Original

Tara Safavi and Danai Koutra. 2021 · 2021

Cited alongside, same era.

Deriving contextualised semantic features from BERT (and other transformer model) embeddings

Jacob Turton, Robert Elliott Smith, and David Vinson. 2021 · 2021

Cited alongside, same era.

Bertopic: Neural topic modeling with a class-based tf-idf procedure

Original

Maarten Grootendorst. 2022 · 2022

Cited alongside, same era.

Chatgpt has entered the classroom: how llms could transform education

Andy Extance. 2023 · 2023

Cited alongside, same era.

Are large language models the new interface for data pipelines?

Sylvio Barbon Junior, Paolo Ceravolo, Sven Groppe, Mustafa Jarrar, Samira Maghool, Florence Sèdes, Soror Sahri, and Maurice Van Keulen. 2024 · 2024

Closest in time.

From local to global: A graph rag approach to query-focused summarization

Original

Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, and Jonathan Larson. 2024 · 2024

Closest in time.

Evaluating large language models on Wikipedia-style survey generation

Fan Gao, Hang Jiang, Rui Yang, Qingcheng Zeng, Jinghui Lu, Moritz Blum, Tianwei She, Yuang Jiang, and Irene Li. 2024 · 2024

Closest in time.

Enhancing diagnostic accuracy through multi-agent conversations: Using large language models to mitigate cognitive bias

Original

Yu He Ke, Rui Yang, Sui An Lie, Taylor Xin Yi Lim, Hairil Rizal Abdullah, Daniel Shu Wei Ting, and Nan Liu. 2024 · 2024

Closest in time.

Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls