Rethinking the Evaluating Framework for Natural Language Understanding in AI Systems: Language Acquisition as a Core for Future Metrics

21 September 2023

Papers citing "Rethinking the Evaluating Framework for Natural Language Understanding in AI Systems: Language Acquisition as a Core for Future Metrics"

24 / 24 papers shown

Title
Can I say, now machines can think? Nitisha Aggarwal G. Saxena Sanjeev Singh Amit Pundir LRM AI4CE 86 3 0 11 Jul 2023
Symmetry and Complexity in Object-Centric Deep Active Inference Models Stefano Ferraro Toon Van de Maele Tim Verbelen Bart Dhoedt 37 6 0 14 Apr 2023
Designing Ecosystems of Intelligence from First Principles Karl J. Friston M. Ramstead Alex B. Kiefer Alexander Tschantz Christopher L. Buckley ... K. Fung Jason G. Fox Steven Swanson D. Mapes Gabriel René 45 33 0 02 Dec 2022
Emergent Linguistic Structures in Neural Networks are Fragile Emanuele La Malfa Matthew Wicker Marta Kiatkowska 45 1 0 31 Oct 2022
In the realm of hybrid Brain: Human Brain and AI Hoda Fares Margherita Ronchini M. Zamani H. Farkhani F. Moradi 47 5 0 04 Oct 2022
Large Language Models and the Reverse Turing Test T. Sejnowski ELM 54 112 0 28 Jul 2022
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models Aarohi Srivastava Abhinav Rastogi Abhishek Rao Abu Awal Md Shoeb Abubakar Abid ... Zhuoye Zhao Zijian Wang Zijie J. Wang Zirui Wang Ziyi Wu ELM 125 1,746 0 09 Jun 2022
Generalizable Neuro-symbolic Systems for Commonsense Question Answering A. Oltramari Jonathan M Francis Filip Ilievski Kaixin Ma Roshanak Mirzaee NAI 57 8 0 17 Jan 2022
Building Human-like Communicative Intelligence: A Grounded Perspective M. Dubova 44 12 0 02 Jan 2022
Towards A Measure Of General Machine Intelligence Gautham Venkatasubramanian Sibesh Kar Abhimanyu Singh Shubham Mishra Dushyant Yadav Shreyansh Chandak ALM ELM 22 1 0 24 Sep 2021
Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems Subbarao Kambhampati S. Sreedharan Mudit Verma Yantian Zha L. Guan 81 49 0 21 Sep 2021
Intelligence as information processing: brains, swarms, and computers C. Gershenson 9 4 0 09 Aug 2021
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots T. Taniguchi Hiroshi Yamakawa Takayuki Nagai Kenji Doya M. Sakagami Masahiro Suzuki Tomoaki Nakamura Akira Taniguchi 55 23 0 15 Mar 2021
Machine learning on small size samples: A synthetic knowledge synthesis P. Kokol Marko Kokol S. Zagoranski 66 171 0 01 Mar 2021
Modern Koopman Theory for Dynamical Systems Steven L. Brunton M. Budišić E. Kaiser J. Nathan Kutz AI4CE 97 414 0 24 Feb 2021
Sophisticated Inference Karl J. Friston Lancelot Da Costa Danijar Hafner C. Hesp Thomas Parr 56 101 0 07 Jun 2020
Experience Grounds Language Yonatan Bisk Ari Holtzman Jesse Thomason Jacob Andreas Yoshua Bengio ... Angeliki Lazaridou Jonathan May Aleksandr Nisnevich Nicolas Pinto Joseph P. Turian 79 357 0 21 Apr 2020
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods Aditya Mogadala M. Kalimuthu Dietrich Klakow VLM 64 133 0 22 Jul 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods Guo-Jun Qi Jiebo Luo SSL 45 242 0 27 Mar 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn Sebastian Lapuschkin S. Wäldchen Alexander Binder G. Montavon Wojciech Samek K. Müller 80 1,009 0 26 Feb 2019
Moving Beyond the Turing Test with the Allen AI Science Challenge Carissa Schoenick Peter Clark Oyvind Tafjord Peter D. Turney Oren Etzioni ELM AI4CE 43 53 0 14 Apr 2016
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 334 33,500 0 16 Oct 2013
To study the phenomenon of the Moravec's Paradox Kush Agrawal LRM 76 8 0 14 Dec 2010
Universal Intelligence: A Definition of Machine Intelligence Shane Legg Marcus Hutter 96 640 0 20 Dec 2007