algorithmic reasoning

Parsel🐍: Algorithmic Reasoning with Language Models by Composing Decompositions NeurIPS 2023 Randomized Positional Encodings Boost Length Generalization of Transformers ACL 2023 Relational Attention: Generalizing Transformers for Graph-Structured Tasks ICLR 2023 Symbol tuning improves in-context learning in language models EMNLP 2023 Transformers Learn Shortcuts to Automata ICLR 2023 Learning Iterative Reasoning through Energy Minimization ICML 2022 Neural Approximation of Graph Topological Features NeurIPS 2022 Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability AAAI 2022 The Bullets Puzzle: A Paper-and-Pencil Minesweeper AAAI 2022 The CLRS Algorithmic Reasoning Benchmark ICML 2022 Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks NeurIPS 2021 How to transfer algorithmic reasoning knowledge to learn new algorithms? NeurIPS 2021 Neural Execution Engines: Learning to Execute Subroutines NeurIPS 2020 Neural Execution of Graph Algorithms ICLR 2020 Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks AAAI 2019