Fetching the paper…
Reading the bibliography…
Large Language Models (LLMs), prominently highlighted by the recent evolution in the Generative Pre-trained Transformers (GPT) series, have displayed significant prowess across various domains, such as aiding in healthcare diagnostics and curating analytical business reports.
“Human memory: A proposed system and its control processes”
Richard Atkinson and Richard Shiffrin · 1968
Earlier work this paper cites.
“Interactive narrative: A novel application of artificial intelligence for computer games”
Mark Riedl and Vadim Bulitko · 2012
Earlier work this paper cites.
“word2vec Explained: deriving Mikolov et al.’s negative-sampling word-embedding method”
Yoav Goldberg and Omer Levy · 2014
Earlier work this paper cites.
“Glove: Global vectors for word representation”
Jeffrey Pennington, Richard Socher and Christopher Manning · 2014
Earlier work this paper cites.
“Replication and analysis of Ebbinghaus’ forgetting curve”
Jaap Murre and Joeri Dros · 2015
Earlier work this paper cites.
“Bert: Pre-training of deep bidirectional transformers for language understanding”
Jacob Devlin, Ming-Wei Chang, Kenton Lee and Kristina Toutanova · 2018
Earlier work this paper cites.
“Improving language understanding by generative pre-training”
Alec Radford, Karthik Narasimhan, Tim Salimans and Ilya Sutskever · 2018
Cited alongside, same era.
“Billion-scale similarity search with GPUs”
Jeff Johnson, Matthijs Douze and Hervé Jégou · 2019
Cited alongside, same era.
Wonsup Shin, Seok-Jun Bu and Sung-Bae Cho · 2019
Cited alongside, same era.
“Adaptive quantitative trading: An imitative deep reinforcement learning approach”
Yang Liu et al · 2020
Cited alongside, same era.
“MSPM: A modularized and scalable multi-agent reinforcement learning-based system for financial portfolio management”
Zhenhan Huang and Fumihide Tanaka · 2022
Cited alongside, same era.
“GPT-4 Technical Report”, 2023
OpenAI · 2023
Closest in time.
“Generative agents: Interactive simulacra of human behavior”
Joon Park et al · 2023
Closest in time.
“Llama: Open and efficient foundation language models”
Hugo Touvron et al · 2023
Closest in time.
“Bloomberggpt: A large language model for finance”
Shijie Wu et al · 2023
Closest in time.
“FinGPT: Open-Source Financial Large Language Models”
Hongyang Yang, Xiao-Yang Liu and Christina Wang · 2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Yilun Du et al · 2023
Cited alongside, same era.