Tell me why! Explanations support learning relational and causal
structure

Tell me why! Explanations support learning relational and causal structure

7 December 2021

Andrew Kyle Lampinen

Nicholas A. Roy

Ishita Dasgupta

Stephanie C. Y. Chan

James L. McClelland

Neil C. Rabinowitz

Papers citing "Tell me why! Explanations support learning relational and causal structure"

16 / 16 papers shown

Title
Imagining and building wise machines: The centrality of AI metacognition Samuel G. B. Johnson Amir-Hossein Karimi Yoshua Bengio Nick Chater Tobias Gerstenberg ... Sydney Levine Melanie Mitchell Iyad Rahwan Bernhard Schölkopf Igor Grossmann 40 4 0 04 Nov 2024
Open Domain Question Answering with Conflicting Contexts Siyi Liu Qiang Ning Kishaloy Halder Wei Xiao Zheng Qi ... Yi Zhang Neha Anna John Bonan Min Yassine Benajiba Dan Roth LLMAG 65 2 0 16 Oct 2024
Passive learning of active causal strategies in agents and language models Andrew Kyle Lampinen Stephanie C. Y. Chan Ishita Dasgupta A. Nam Jane X. Wang 29 15 0 25 May 2023
REFINER: Reasoning Feedback on Intermediate Representations Debjit Paul Mete Ismayilzada Maxime Peyrard Beatriz Borges Antoine Bosselut Robert West Boi Faltings ReLM LRM 26 171 0 04 Apr 2023
Explanation Regeneration via Information Bottleneck Qintong Li Zhiyong Wu Lingpeng Kong Wei Bi 27 3 0 19 Dec 2022
Learning to Reason With Relational Abstractions A. Nam Mengye Ren Chelsea Finn James L. McClelland ReLM LRM 37 4 0 06 Oct 2022
Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans John J. Nay ELM AILaw 88 27 0 14 Sep 2022
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models Ainkaran Santhirasekaram Avinash Kori A. Rockall Mathias Winkler Francesca Toni Ben Glocker FAtt 42 4 0 05 Jul 2022
Chain of Thought Imitation with Procedure Cloning Mengjiao Yang Dale Schuurmans Pieter Abbeel Ofir Nachum OffRL 30 29 0 22 May 2022
Can language models learn from explanations in context? Andrew Kyle Lampinen Ishita Dasgupta Stephanie C. Y. Chan Kory Matthewson Michael Henry Tessler Antonia Creswell James L. McClelland Jane X. Wang Felix Hill LRM ReLM 41 283 0 05 Apr 2022
Mind the gap: Challenges of deep learning approaches to Theory of Mind Jaan Aru Aqeel Labash Oriol Corcoll Raul Vicente 25 26 0 30 Mar 2022
Improving Intrinsic Exploration with Language Abstractions Jesse Mu Victor Zhong Roberta Raileanu Minqi Jiang Noah D. Goodman Tim Rocktaschel Edward Grefenstette 103 63 0 17 Feb 2022
Abstraction for Deep Reinforcement Learning Murray Shanahan Melanie Mitchell OffRL 27 28 0 10 Feb 2022
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability Dibya Ghosh Jad Rahme Aviral Kumar Amy Zhang Ryan P. Adams Sergey Levine OffRL 278 109 0 13 Jul 2021
Neurosymbolic AI: The 3rd Wave Artur Garcez Luís C. Lamb NAI 65 292 0 10 Dec 2020
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 260 620 0 04 Dec 2018