The Impact of Symbolic Representations on In-context Learning for Few-shot Reasoning
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Hanlin Zhang, YiFan Zhang, Li Erran Li, Eric Xing
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Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus
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Yudong Xu, Elias Boutros Khalil, Scott Sanner
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Counterfactual reasoning: Do Language Models need world knowledge for causal inference?
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Jiaxuan Li, Lang Yu, Allyson Ettinger
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Image Manipulation via Neuro-Symbolic Networks
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Harman Singh, Poorva Garg, Mohit Gupta, Kevin Shah, Arnab Kumar Mondal, Dinesh Khandelwal, Parag Singla, Dinesh Garg
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Learning Neuro-symbolic Programs for Language-Guided Robotic Manipulation
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Namasivayam Kalithasan, Himanshu Gaurav Singh, Vishal Bindal, Arnav Tuli, Vishwajeet Agrawal, Rahul Jain, Parag Singla, Rohan Paul
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Active Bayesian Causal Inference
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Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius Von Kügelgen
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Causal Discovery for Modular World Models
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Anson Lei, Bernhard Schölkopf, Ingmar Posner
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Playgrounds for Abstraction and Reasoning
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Subin Kim, Prin Phunyaphibarn, Donghyun Ahn, Sundong Kim
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Enhancing Transfer of Reinforcement Learning Agents with Abstract Contextual Embeddings
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Guy Azran, Mohamad Hosein Danesh, Stefano V Albrecht, Sarah Keren
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Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
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Michael Chang, Alyssa Li Dayan, Franziska Meier, Thomas L. Griffiths, Sergey Levine, Amy Zhan
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Benchmarking Counterfactual Reasoning Abilities about Implicit Physical Properties
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Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang
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Symbolic Causal Inference via Operations on Probabilistic Circuits
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Benjie Wang, Marta Kwiatkowska
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Discrete Learning Of DAGs Via Backpropagation
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Andrew J. Wren, Pasquale Minervini, Luca Franceschi, Valentina Zantedeschi
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Probabilities of Causation: Adequate Size of Experimental and Observational Samples
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Ang Li, Ruirui Mao, Judea Pearl
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Synthesized Differentiable Programs
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Lucas Paul Saldyt
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