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Artificial General Intelligence (AGI) has been a long-standing goal of humanity, with the aim of creating machines capable of performing any intellectual task that humans can do.
A logical calculus of the ideas immanent in nervous activity
McCulloch WS, Pitts W · 1943
Earlier work this paper cites.
Principles of neurodynamics. perceptrons and the theory of brain mechanisms
Rosenblatt F · 1961
Earlier work this paper cites.
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel DH, Wiesel TN · 1962
Earlier work this paper cites.
ELIZA—a computer program for the study of natural language communication between man and machine
Weizenbaum J · 1966
Earlier work this paper cites.
Beyond regression: New tools for prediction and analysis in the behavioral sciences
Werbos P · 1974
Earlier work this paper cites.
Synaptic density in human frontal cortex-developmental changes and effects of aging
Huttenlocher PR, et al · 1979
Earlier work this paper cites.
Learning internal representations by error propagation
Rumelhart DE, Hinton GE, Williams RJ · 1985
Earlier work this paper cites.
Learning representations by back-propagating errors
Rumelhart DE, Hinton GE, Williams RJ · 1986
Earlier work this paper cites.
Induction of decision trees
Quinlan JR · 1986
Earlier work this paper cites.
An introduction to computing with neural nets
Lippmann R · 1987
Earlier work this paper cites.
The attention system of the human brain
Posner MI, Petersen SE · 1990
Earlier work this paper cites.
Convolutional networks for images, speech, and time series
LeCun Y, Bengio Y, et al · 1995
Earlier work this paper cites.
A small step for the cell, a giant leap for mankind: a hypothesis of neocortical expansion during evolution
Rakic P · 1995
Earlier work this paper cites.
Support-vector networks
Cortes C, Vapnik V · 1995
Earlier work this paper cites.
Popular ensemble methods: An empirical study
Opitz D, Maclin R · 1999
Earlier work this paper cites.
Neuromorphic vision sensors
Indiveri G, Douglas R · 2000
Earlier work this paper cites.
Invariant visual representation by single neurons in the human brain
Quiroga RQ, Reddy L, Kreiman G, Koch C, Fried I · 2005
Earlier work this paper cites.
Small-world brain networks
Bassett DS, Bullmore E · 2006
Earlier work this paper cites.
Newell and Simon’s logic theorist: Historical background and impact on cognitive modeling
Gugerty L · 2006
Earlier work this paper cites.
Neocortical and hippocampal neuron and glial cell numbers in the rhesus monkey
Christensen JR, Larsen KB, Lisanby SH, Scalia J, Arango V, Dwork AJ, et al · 2007
Earlier work this paper cites.
Computing machinery and intelligence
Turing AM · 2009
Earlier work this paper cites.
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore E, Sporns O · 2009
Earlier work this paper cites.
Spiking neural networks
Ghosh-Dastidar S, Adeli H · 2009
Earlier work this paper cites.
The human brain in numbers: a linearly scaled-up primate brain
Herculano-Houzel S · 2009
Earlier work this paper cites.
The quest for artificial intelligence
Nilsson NJ · 2009
Earlier work this paper cites.
Cybernetics, automata studies, and the Dartmouth conference on artificial intelligence
Kline R · 2010
Earlier work this paper cites.
The human connectome: a complex network
Sporns O · 2011
Earlier work this paper cites.
The remarkable, yet not extraordinary, human brain as a scaled-up primate brain and its associated cost
Herculano-Houzel S · 2012
Earlier work this paper cites.
Design and validation of a real-time spiking-neural-network decoder for brain–machine interfaces
Dethier J, Nuyujukian P, Ryu SI, Shenoy KV, Boahen K · 2013
Earlier work this paper cites.
NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data
Kasabov NK · 2014
Earlier work this paper cites.
A million spiking-neuron integrated circuit with a scalable communication network and interface
Merolla PA, Arthur JV, Alvarez-Icaza R, Cassidy AS, Sawada J, Akopyan F, et al · 2014
Earlier work this paper cites.
Neurogrid: A mixed-analog-digital multichip system for large-scale neural simulations
Benjamin BV, Gao P, McQuinn E, Choudhary S, Chandrasekaran AR, Bussat JM, et al · 2014
Earlier work this paper cites.
Truenorth: Design and tool flow of a 65 mw 1 million neuron programmable neurosynaptic chip
Akopyan F, Sawada J, Cassidy A, Alvarez-Icaza R, Arthur J, Merolla P, et al · 2015
Cited alongside, same era.
Vqa: Visual question answering
Antol S, Agrawal A, Lu J, Mitchell M, Batra D, Zitnick CL, et al · 2015
Cited alongside, same era.
Creating more intelligent robots through brain-inspired computing
Zhang B, Shi L, Song S · 2016
Cited alongside, same era.
Neuronal factors determining high intelligence
Dicke U, Roth G · 2016
Cited alongside, same era.
Artificial neural network modelling: An introduction
Shanmuganathan S · 2016
Cited alongside, same era.
Small-world brain networks revisited
Bassett DS, Bullmore ET · 2017
Cited alongside, same era.
Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations
Zhao L, Dai H, Wu Z, Xiao Z, Zhang L, Liu DW, et al · 2022
Later among the works it cites.
BI AVAN: Brain inspired Adversarial Visual Attention Network
Huang H, Zhao L, Hu X, Dai H, Zhang L, Zhu D, et al · 2022
Later among the works it cites.
Neuromorphic computing hardware and neural architectures for robotics
Sandamirskaya Y, Kaboli M, Conradt J, Celikel T · 2022
Later among the works it cites.
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor
Viale A, Marchisio A, Martina M, Masera G, Shafique M · 2022
Later among the works it cites.
VisualGPT: Data-Efficient Adaptation of Pretrained Language Models for Image Captioning
Chen J, Guo H, Yi K, Li B, Elhoseiny M · 2022
Later among the works it cites.
High-resolution image synthesis with latent diffusion models
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Deep reinforcement learning from human preferences
Christiano PF, Leike J, Brown T, Martic M, Legg S, Amodei D · 2017
Cited alongside, same era.
Attention is all you need
Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez AN, et al · 2017
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin J, Chang MW, Lee K, Toutanova K · 2018
Cited alongside, same era.
Improving language understanding by generative pre-training
Radford A, Narasimhan K, Salimans T, Sutskever I, et al · 2018
Cited alongside, same era.
Loihi: A neuromorphic manycore processor with on-chip learning
Davies M, Srinivasa N, Lin TH, Chinya G, Cao Y, Choday SH, et al · 2018
Cited alongside, same era.
Exploring randomly wired neural networks for image recognition
Xie S, Kirillov A, Girshick R, He K · 2019
Cited alongside, same era.
Rombach R, Blattmann A, Lorenz D, Esser P, Ommer B · 2022
Later among the works it cites.
An empirical study of training end-to-end vision-and-language transformers
Dou ZY, Xu Y, Gan Z, Wang J, Wang S, Wang L, et al · 2022
Later among the works it cites.
Vlmo: Unified vision-language pre-training with mixture-of-modality-experts
Bao H, Wang W, Dong L, Liu Q, Mohammed OK, Aggarwal K, et al · 2022
Later among the works it cites.
Swinbert: End-to-end transformers with sparse attention for video captioning
Lin K, Li L, Lin CC, Ahmed F, Gan Z, Liu Z, et al · 2022
Later among the works it cites.
Improving alignment of dialogue agents via targeted human judgements
Glaese A, McAleese N, Trebacz M, Aslanides J, Firoiu V, Ewalds T, et al · 2022
Later among the works it cites.
Training language models to follow instructions with human feedback
Ouyang L, Wu J, Jiang X, Almeida D, Wainwright CL, Mishkin P, et al · 2022
Later among the works it cites.
Emergent abilities of large language models
Wei J, Tay Y, Bommasani R, Raffel C, Zoph B, Borgeaud S, et al · 2022
Later among the works it cites.
Large language models are zero-shot reasoners
Kojima T, Gu SS, Reid M, Matsuo Y, Iwasawa Y · 2022
Later among the works it cites.
Chain of thought prompting elicits reasoning in large language models
Wei J, Wang X, Schuurmans D, Bosma M, Chi E, Le Q, et al · 2022
Later among the works it cites.
Self-consistency improves chain of thought reasoning in language models
Wang X, Wei J, Schuurmans D, Le Q, Chi E, Zhou D · 2022
Later among the works it cites.
On the advance of making language models better reasoners
Li Y, Lin Z, Zhang S, Fu Q, Chen B, Lou JG, et al · 2022
Later among the works it cites.
Automatic chain of thought prompting in large language models
Zhang Z, Zhang A, Li M, Smola A · 2022
Later among the works it cites.
Challenging BIG-Bench tasks and whether chain-of-thought can solve them
Suzgun M, Scales N, Schärli N, Gehrmann S, Tay Y, Chung HW, et al · 2022
Later among the works it cites.
Least-to-most prompting enables complex reasoning in large language models
Zhou D, Schärli N, Hou L, Wei J, Scales N, Wang X, et al · 2022
Later among the works it cites.
Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta Optimizers
Dai D, Sun Y, Dong L, Hao Y, Sui Z, Wei F · 2022
Later among the works it cites.
A path towards autonomous machine intelligence version 0.9. 2, 2022-06-27
LeCun Y · 2022
Later among the works it cites.
Scaling instruction-finetuned language models
Chung HW, Hou L, Longpre S, Zoph B, Tay Y, Fedus W, et al · 2022
Later among the works it cites.
Benchmarking generalization via in-context instructions on 1,600+ language tasks
Wang Y, Mishra S, Alipoormolabashi P, Kordi Y, Mirzaei A, Arunkumar A, et al · 2022
Later among the works it cites.
Survey on natural language processing in medical image analysis
Liu Z, He M, Jiang Z, Wu Z, Dai H, Zhang L, et al · 2022
Later among the works it cites.
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Bubeck S, Chandrasekaran V, Eldan R, Gehrke J, Horvitz E, Kamar E, et al · 2023
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DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4
Liu Z, Yu X, Zhang L, Wu Z, Cao C, Dai H, et al · 2023
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Digital Twin (DT)-CycleGAN: Enabling Zero-Shot Sim-to-Real Transfer of Visual Grasping Models
Liu D, Chen Y, Wu Z · 2023
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ChatAug: Leveraging ChatGPT for Text Data Augmentation
Dai H, Liu Z, Liao W, Huang X, Wu Z, Zhao L, et al · 2023
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Is chatgpt a general-purpose natural language processing task solver?
Qin C, Zhang A, Zhang Z, Chen J, Yasunaga M, Yang D · 2023
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Chatcad: Interactive computer-aided diagnosis on medical image using large language models
Wang S, Zhao Z, Ouyang X, Wang Q, Shen D · 2023
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OpenAI. GPT-4 Technical Report; 2023
2023
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