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LILO: Learning Interpretable Libraries by Compressing and Documenting Code

30 October 2023

Joshua B. Tenenbaum

Papers citing "LILO: Learning Interpretable Libraries by Compressing and Documenting Code"

21 / 21 papers shown

Title
TurtleBench: A Visual Programming Benchmark in Turtle Geometry Sina Rismanchian Yasaman Razeghi Sameer Singh Shayan Doroudi 122 2 0 31 Oct 2024
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search Max Liu Chan-Hung Yu Wei-Hsu Lee Cheng-Wei Hung Yen-Chun Chen Shao-Hua Sun 116 5 0 26 May 2024
Natural Language to Code Generation in Interactive Data Science Notebooks Pengcheng Yin Wen-Ding Li Kefan Xiao Abhishek Rao Yeming Wen ... Paige Bailey Michele Catasta Henryk Michalewski Oleksandr Polozov Charles Sutton 61 65 0 19 Dec 2022
Language Models Can Teach Themselves to Program Better Patrick M. Haluptzok Matthew Bowers Adam Tauman Kalai ReLM SyDa LRM 99 82 0 29 Jul 2022
InCoder: A Generative Model for Code Infilling and Synthesis Daniel Fried Armen Aghajanyan Jessy Lin Sida I. Wang Eric Wallace Freda Shi Ruiqi Zhong Wen-tau Yih Luke Zettlemoyer M. Lewis SyDa 87 652 0 12 Apr 2022
Memorizing Transformers Yuhuai Wu M. Rabe DeLesley S. Hutchins Christian Szegedy RALM 100 178 0 16 Mar 2022
Competition-Level Code Generation with AlphaCode Yujia Li David Choi Junyoung Chung Nate Kushman Julian Schrittwieser ... Esme Sutherland Robson Pushmeet Kohli Nando de Koray Kavukcuoglu Oriol Vinyals 148 1,425 0 08 Feb 2022
Synchromesh: Reliable code generation from pre-trained language models Gabriel Poesia Oleksandr Polozov Vu Le A. Tiwari Gustavo Soares Christopher Meek Sumit Gulwani 66 162 0 26 Jan 2022
Skill Induction and Planning with Latent Language Pratyusha Sharma Antonio Torralba Jacob Andreas LM&Ro 251 111 0 04 Oct 2021
Program Synthesis with Large Language Models Jacob Austin Augustus Odena Maxwell Nye Maarten Bosma Henryk Michalewski ... Ellen Jiang Carrie J. Cai Michael Terry Quoc V. Le Charles Sutton ELM AIMat ReCod ALM 216 2,009 0 16 Aug 2021
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 238 5,665 0 07 Jul 2021
Leveraging Language to Learn Program Abstractions and Search Heuristics Catherine Wong Kevin Ellis J. Tenenbaum Jacob Andreas 82 56 0 18 Jun 2021
Measuring Coding Challenge Competence With APPS Dan Hendrycks Steven Basart Saurav Kadavath Mantas Mazeika Akul Arora ... Collin Burns Samir Puranik Horace He Basel Alomair Jacob Steinhardt ELM AIMat ALM 274 707 0 20 May 2021
Generating Adversarial Computer Programs using Optimized Obfuscations Shashank Srikant Sijia Liu Tamara Mitrovska Shiyu Chang Quanfu Fan Gaoyuan Zhang Una-May O’Reilly AAML 99 46 0 18 Mar 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 390 1,390 0 17 Jan 2021
Beyond imitation: Zero-shot task transfer on robots by learning concepts as cognitive programs Miguel Lázaro-Gredilla Dianhuan Lin J. S. Guntupalli Dileep George LM&Ro 73 83 0 06 Dec 2018
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding Kexin Yi Jiajun Wu Chuang Gan Antonio Torralba Pushmeet Kohli J. Tenenbaum NAI 84 612 0 04 Oct 2018
Learning to Reason: End-to-End Module Networks for Visual Question Answering Ronghang Hu Jacob Andreas Marcus Rohrbach Trevor Darrell Kate Saenko KELM GNN ReLM LRM 131 579 0 18 Apr 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning Justin Johnson B. Hariharan Laurens van der Maaten Li Fei-Fei C. L. Zitnick Ross B. Girshick CoGe 319 2,391 0 20 Dec 2016
DeepCoder: Learning to Write Programs Matej Balog Alexander L. Gaunt Marc Brockschmidt Sebastian Nowozin Daniel Tarlow AIMat NAI 103 575 0 07 Nov 2016
Neural Module Networks Jacob Andreas Marcus Rohrbach Trevor Darrell Dan Klein CoGe 139 1,077 0 09 Nov 2015