Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation

Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation

3 October 2023

Lester W. Mackey

Adam Tauman Kalai

Papers citing "Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation"

11 / 11 papers shown

Title
Divide, Optimize, Merge: Fine-Grained LLM Agent Optimization at Scale Jiale Liu Yifan Zeng Shaokun Zhang Chi Zhang Malte Højmark-Bertelsen Marie Normann Gadeberg H. Wang Qingyun Wu 34 0 0 06 May 2025
Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization Yuanye Liu Jiahang Xu Li Lyna Zhang Qi Chen Xuan Feng Yang Chen Zhongxin Guo Yuqing Yang Cheng Peng 72 2 0 06 Feb 2025
Can Large Language Models Invent Algorithms to Improve Themselves? Yoichi Ishibashi Taro Yano Masafumi Oyamada AIFin LRM 25 1 0 21 Oct 2024
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks Guibin Zhang Yanwei Yue Xiangguo Sun Guancheng Wan Miao Yu Junfeng Fang Kun Wang Dawei Cheng Dawei Cheng AAML AI4CE 43 5 0 15 Oct 2024
Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement Weimin Xiong Yifan Song Xiutian Zhao Wenhao Wu Xun Wang Ke Wang Cheng Li Wei Peng Sujian Li 37 25 0 17 Jun 2024
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics N. V. Stein Thomas Bäck 23 10 0 30 May 2024
A Survey on Self-Evolution of Large Language Models Zhengwei Tao Ting-En Lin Xiancai Chen Hangyu Li Yuchuan Wu Yongbin Li Zhi Jin Fei Huang Dacheng Tao Jingren Zhou LRM LM&Ro 43 21 0 22 Apr 2024
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs Albert Q. Jiang Sean Welleck Jin Peng Zhou Wenda Li Jiacheng Liu M. Jamnik Timothée Lacroix Yuhuai Wu Guillaume Lample AIMat 58 154 0 21 Oct 2022
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning Hung Le Yue Wang Akhilesh Deepak Gotmare Silvio Savarese S. Hoi SyDa ALM 118 232 0 05 Jul 2022
A Systematic Evaluation of Large Language Models of Code Frank F. Xu Uri Alon Graham Neubig Vincent J. Hellendoorn ELM ALM 193 624 0 26 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022