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"

9 / 9 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 34 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 63 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 22 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 26 168 0 04 Apr 2023
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models Ainkaran Santhirasekaram Avinash Kori A. Rockall Mathias Winkler Francesca Toni Ben Glocker FAtt 27 4 0 05 Jul 2022
Improving Intrinsic Exploration with Language Abstractions Jesse Mu Victor Zhong Roberta Raileanu Minqi Jiang Noah D. Goodman Tim Rocktaschel Edward Grefenstette 95 63 0 17 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 267 107 0 13 Jul 2021
Neurosymbolic AI: The 3rd Wave Artur Garcez Luís C. Lamb NAI 57 287 0 10 Dec 2020
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 252 618 0 04 Dec 2018