Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems

2 May 2022

Papers citing "Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems"

9 / 9 papers shown

Title
Human-like conceptual representations emerge from language prediction Ningyu Xu Qi Zhang Chao Du Qiang Luo Xipeng Qiu Xuanjing Huang Menghan Zhang 70 0 0 21 Jan 2025
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks Jacob Russin Sam Whitman McGrath Danielle J. Williams Lotem Elber-Dorozko AI4CE 73 3 0 24 May 2024
Neural-Logic Human-Object Interaction Detection Liulei Li Jianan Wei Wenguan Wang Yi Yang 36 16 0 16 Nov 2023
HICO-DET-SG and V-COCO-SG: New Data Splits for Evaluating the Systematic Generalization Performance of Human-Object Interaction Detection Models Kenta Takemoto Moyuru Yamada Tomotake Sasaki H. Akima 37 0 0 17 May 2023
The Debate Over Understanding in AI's Large Language Models Melanie Mitchell D. Krakauer ELM 74 202 0 14 Oct 2022
Are Representations Built from the Ground Up? An Empirical Examination of Local Composition in Language Models Emmy Liu Graham Neubig CoGe 13 10 0 07 Oct 2022
Systematic Generalization and Emergent Structures in Transformers Trained on Structured Tasks Yuxuan Li James L. McClelland 33 17 0 02 Oct 2022
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges Denis Kleyko D. Rachkovskij Evgeny Osipov A. Rahim 21 126 0 12 Nov 2021
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 243 1,450 0 18 Mar 2020