Leveraging Language to Learn Program Abstractions and Search Heuristics

Leveraging Language to Learn Program Abstractions and Search Heuristics

18 June 2021

Papers citing "Leveraging Language to Learn Program Abstractions and Search Heuristics"

19 / 19 papers shown

Title
TurtleBench: A Visual Programming Benchmark in Turtle Geometry Sina Rismanchian Yasaman Razeghi Sameer Singh Shayan Doroudi 49 1 0 31 Oct 2024
Is Programming by Example solved by LLMs? Wen-Ding Li Kevin Ellis 37 10 0 12 Jun 2024
Policy Learning with a Language Bottleneck Megha Srivastava Cédric Colas Dorsa Sadigh Jacob Andreas 40 3 0 07 May 2024
Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling Gabriel Grand Valerio Pepe Jacob Andreas Joshua B. Tenenbaum ReLM 28 6 0 29 Feb 2024
ReGAL: Refactoring Programs to Discover Generalizable Abstractions Elias Stengel-Eskin Archiki Prasad Mohit Bansal 25 13 0 29 Jan 2024
Learning a Hierarchical Planner from Humans in Multiple Generations Leonardo Hernandez Cano Yewen Pu Robert D. Hawkins Josh Tenenbaum Armando Solar-Lezama 21 2 0 17 Oct 2023
LEMMA: Bootstrapping High-Level Mathematical Reasoning with Learned Symbolic Abstractions Zhening Li Gabriel Poesia Omar Costilla-Reyes Noah D. Goodman Armando Solar-Lezama 13 7 0 16 Nov 2022
lilGym: Natural Language Visual Reasoning with Reinforcement Learning Anne Wu Kianté Brantley Noriyuki Kojima Yoav Artzi ReLM OffRL LRM 24 3 0 03 Nov 2022
Large Language Models Are Human-Level Prompt Engineers Yongchao Zhou Andrei Ioan Muresanu Ziwen Han Keiran Paster Silviu Pitis Harris Chan Jimmy Ba ALM LLMAG 21 829 0 03 Nov 2022
ObSynth: An Interactive Synthesis System for Generating Object Models from Natural Language Specifications Alex Gu Tamara Mitrovska D. Vélez Jacob Andreas Armando Solar-Lezama SyDa 25 1 0 20 Oct 2022
Neurosymbolic Programming for Science Jennifer J. Sun Megan Tjandrasuwita Atharva Sehgal Armando Solar-Lezama Swarat Chaudhuri Yisong Yue Omar Costilla-Reyes NAI 37 12 0 10 Oct 2022
How to talk so AI will learn: Instructions, descriptions, and autonomy T. Sumers Robert D. Hawkins Mark K. Ho Thomas L. Griffiths Dylan Hadfield-Menell LM&Ro 32 20 0 16 Jun 2022
Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks K. M. Collins Catherine Wong Jiahai Feng Megan Wei J. Tenenbaum LRM 20 57 0 11 May 2022
SemSup: Semantic Supervision for Simple and Scalable Zero-shot Generalization Austin W. Hanjie A. Deshpande Karthik Narasimhan VLM 36 2 0 26 Feb 2022
Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems Atharv Sonwane Sharad Chitlangia T. Dash L. Vig Gautam M. Shroff A. Srinivasan 16 5 0 19 Oct 2021
Program Transfer for Answering Complex Questions over Knowledge Bases S. Cao Jiaxin Shi Zijun Yao Xin Lv Jifan Yu Lei Hou Juanzi Li Zhiyuan Liu Jinghui Xiao 35 56 0 12 Oct 2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies Dweep Trivedi Jesse Zhang Shao-Hua Sun Joseph J. Lim NAI 24 72 0 31 Aug 2021
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning Kevin Ellis Catherine Wong Maxwell Nye Mathias Sablé-Meyer Luc Cary Lucas Morales Luke B. Hewitt Armando Solar-Lezama J. Tenenbaum NAI CLL 12 190 0 15 Jun 2020
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017