The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence

14 February 2020

Papers citing "The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence"

49 / 49 papers shown

Title
KERAIA: An Adaptive and Explainable Framework for Dynamic Knowledge Representation and Reasoning Stephen Richard Varey A. D. Stefano Anh Han 68 0 0 07 May 2025
Continuum-Interaction-Driven Intelligence: Human-Aligned Neural Architecture via Crystallized Reasoning and Fluid Generation Pengcheng Zhou Zhiqiang Nie Haochen Li 45 0 0 12 Apr 2025
AgentRec: Agent Recommendation Using Sentence Embeddings Aligned to Human Feedback Joshua Park Yongfeng Zhang LLMAG LM&Ro 95 1 0 23 Jan 2025
Are Transformers Truly Foundational for Robotics? James A. R. Marshall Andrew B. Barron AI4CE 73 0 0 25 Nov 2024
The Role of Deductive and Inductive Reasoning in Large Language Models Chengkun Cai Xu Zhao Haoliang Liu Zhongyu Jiang Tianfang Zhang Zongkai Wu Jenq-Neng Hwang Serge Belongie Lei Li LRM 37 2 0 03 Oct 2024
AI and Social Theory Jakob Mokander Ralph Schroeder 31 8 0 07 Jul 2024
Artificial intelligence, rationalization, and the limits of control in the public sector: the case of tax policy optimization Jakob Mokander Ralph Schroeder 36 6 0 07 Jul 2024
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
From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning Zheyuan Zhang Shane Storks Fengyuan Hu Sungryull Sohn Moontae Lee Honglak Lee Joyce Chai LRM 34 3 0 24 Oct 2023
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling Jingcheng Deng Liang Pang Huawei Shen Xueqi Cheng RALM 19 10 0 16 Oct 2023
Neuro Symbolic Reasoning for Planning: Counterexample Guided Inductive Synthesis using Large Language Models and Satisfiability Solving Matthias Zeller Susmit Jha Patrick Lincoln Jens Behley Alvaro Velasquez Rickard Ewetz C. Stachniss LRM 17 7 0 28 Sep 2023
Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making Xuanjie Fang Sijie Cheng Yang Liu Wen Wang AAML 34 9 0 27 May 2023
Using Models Based on Cognitive Theory to Predict Human Behavior in Traffic: A Case Study J. Schumann Aravinda Ramakrishnan Srinivasan Jens Kober Gustav Markkula Arkady Zgonnikov 36 7 0 24 May 2023
TaxoKnow: Taxonomy as Prior Knowledge in the Loss Function of Multi-class Classification Mohsen Pourvali Yao Meng Chen Sheng Yangzhou Du 13 0 0 24 May 2023
FederatedTrust: A Solution for Trustworthy Federated Learning Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Ning Xie Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 33 21 0 20 Feb 2023
Dissociating language and thought in large language models Kyle Mahowald Anna A. Ivanova I. Blank Nancy Kanwisher J. Tenenbaum Evelina Fedorenko ELM ReLM 25 209 0 16 Jan 2023
You Truly Understand What I Need: Intellectual and Friendly Dialogue Agents grounding Knowledge and Persona J. Lim Myunghoon Kang Yuna Hur Seung-Ju Jung Jinsung Kim ... Dongyub Lee Hyesung Ji Donghoon Shin Seung Wook Kim Heu-Jeoung Lim HILM 23 8 0 06 Jan 2023
Towards Reasoning in Large Language Models: A Survey Jie Huang Kevin Chen-Chuan Chang LM&MA ELM LRM 27 582 0 20 Dec 2022
Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint Modeling Mingzhu Cai Siqi Bao Xin Tian H. He Fan Wang Hua-Hong Wu 22 5 0 19 Dec 2022
Event knowledge in large language models: the gap between the impossible and the unlikely Carina Kauf Anna A. Ivanova Giulia Rambelli Emmanuele Chersoni Jingyuan Selena She Zawad Chowdhury Evelina Fedorenko Alessandro Lenci 37 67 0 02 Dec 2022
DALL-E 2 Fails to Reliably Capture Common Syntactic Processes Evelina Leivada Elliot Murphy G. Marcus 138 37 0 23 Oct 2022
Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective Peter Baumgartner Daniel V. Smith Mashud Rana Reena Kapoor Elena Tartaglia A. Schutt Ashfaqur Rahman John Taylor S. Dunstall 27 4 0 04 Oct 2022
Out of One, Many: Using Language Models to Simulate Human Samples Lisa P. Argyle Ethan C. Busby Nancy Fulda Joshua R Gubler Christopher Rytting David Wingate SyDa 33 547 0 14 Sep 2022
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology Muhammad Hassan Haifei Guan Aikaterini Melliou Yuqi Wang Qianhui Sun ... Qi Huang Jiefu Tan Qinwang Xing Peiwu Qin Dongmei Yu NAI 34 14 0 31 Jul 2022
Language models show human-like content effects on reasoning tasks Ishita Dasgupta Andrew Kyle Lampinen Stephanie C. Y. Chan Hannah R. Sheahan Antonia Creswell D. Kumaran James L. McClelland Felix Hill ReLM LRM 28 180 0 14 Jul 2022
Responsible Artificial Intelligence -- from Principles to Practice Virginia Dignum AI4TS 14 15 0 22 May 2022
The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks Lukas Huber Robert Geirhos Felix Wichmann 48 16 0 20 May 2022
VPNets: Volume-preserving neural networks for learning source-free dynamics Aiqing Zhu Beibei Zhu Jiawei Zhang Yifa Tang Jian-Dong Liu 26 3 0 29 Apr 2022
A World-Self Model Towards Understanding Intelligence Yutao Yue 26 2 0 25 Mar 2022
Learning Robust Real-Time Cultural Transmission without Human Data Cultural General Intelligence Team Avishkar Bhoopchand Bethanie Brownfield Adrian Collister Agustin Dal Lago ... Alex Platonov Evan Senter Sukhdeep Singh Alexander Zacherl Lei M. Zhang VLM 40 11 0 01 Mar 2022
KMIR: A Benchmark for Evaluating Knowledge Memorization, Identification and Reasoning Abilities of Language Models Daniel Gao Yantao Jia Lei Li Chengzhen Fu Zhicheng Dou Hao Jiang Xinyu Zhang Lei Chen Zhao Cao KELM 20 8 0 28 Feb 2022
Do Transformers know symbolic rules, and would we know if they did? Tommi Gröndahl Yu-Wen Guo Nirmal Asokan 25 0 0 19 Feb 2022
Building Human-like Communicative Intelligence: A Grounded Perspective M. Dubova 21 12 0 02 Jan 2022
Semantic Clustering based Deduction Learning for Image Recognition and Classification Wenchi Ma Xuemin Tu Bo Luo Guanghui Wang 36 29 0 25 Dec 2021
How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN R. Thomas McCoy P. Smolensky Tal Linzen Jianfeng Gao Asli Celikyilmaz SyDa 22 119 0 18 Nov 2021
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
Which priors matter? Benchmarking models for learning latent dynamics Aleksandar Botev Andrew Jaegle Peter Wirnsberger Daniel Hennes I. Higgins AI4CE 22 28 0 09 Nov 2021
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning Mattia Atzeni Jasmina Bogojeska Andreas Loukas ReLM LRM 27 15 0 27 Oct 2021
Towards a theory of out-of-distribution learning Jayanta Dey Ali Geisa Ronak D. Mehta Tyler M. Tomita Hayden S. Helm Haoyin Xu Eric Eaton Jeffery Dick Carey E. Priebe Joshua T. Vogelstein OOD 33 20 0 29 Sep 2021
Trustworthy AI and Robotics and the Implications for the AEC Industry: A Systematic Literature Review and Future Potentials Newsha Emaminejad Reza Akhavian 25 48 0 27 Sep 2021
How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition? Emin Orhan OOD 35 4 0 23 Sep 2021
Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models T. Klein Moin Nabi ReLM LRM 27 8 0 10 Sep 2021
Revisiting Citizen Science Through the Lens of Hybrid Intelligence J. Rafner M. Gajdacz Gitte Kragh A. Hjorth A. Gander ... J. Miller Dominik Dellerman M. Haklay Pietro Michelucci J. Sherson 16 13 0 30 Apr 2021
Thinking Fast and Slow in AI G. Booch F. Fabiano L. Horesh Kiran Kate J. Lenchner ... Andrea Loreggia K. Murugesan Nicholas Mattei F. Rossi Biplav Srivastava 13 94 0 12 Oct 2020
Variable Binding for Sparse Distributed Representations: Theory and Applications E. P. Frady Denis Kleyko Friedrich T. Sommer 15 55 0 14 Sep 2020
Beyond Graph Neural Networks with Lifted Relational Neural Networks Gustav Sourek F. Železný Ondrej Kuzelka NAI 38 17 0 13 Jul 2020
A Review of Winograd Schema Challenge Datasets and Approaches Vid Kocijan Thomas Lukasiewicz E. Davis G. Marcus L. Morgenstern 25 43 0 23 Apr 2020
Learning Symbolic Physics with Graph Networks M. Cranmer Rui Xu Peter W. Battaglia S. Ho PINN AI4CE 183 83 0 12 Sep 2019
Reasoning in Non-Probabilistic Uncertainty: Logic Programming and Neural-Symbolic Computing as Examples Tarek R. Besold Artur Garcez K. Stenning Leendert van der Torre M. Lambalgen NAI 17 19 0 18 Jan 2017