Large Language Models as Optimizers

7 September 2023

Papers citing "Large Language Models as Optimizers"

21 / 71 papers shown

Title
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models Parshin Shojaee Kazem Meidani Shashank Gupta A. Farimani Chandan K. Reddy 37 14 0 29 Apr 2024
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation Yutong He Alexander Robey Naoki Murata Yiding Jiang J. Williams George Pappas Hamed Hassani Yuki Mitsufuji Ruslan Salakhutdinov J. Zico Kolter DiffM 91 4 0 28 Mar 2024
ICE-SEARCH: A Language Model-Driven Feature Selection Approach T. Yang Tim Tianyi Yang Fuyuan Lyu Shaoshan Liu Xue Xue Liu 32 4 0 28 Feb 2024
From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto S. Wasserkrug Léonard Boussioux D. Hertog F. Mirzazadeh Ilker Birbil Jannis Kurtz Donato Maragno LLMAG 30 3 0 26 Feb 2024
Natural Language Reinforcement Learning Xidong Feng Ziyu Wan Mengyue Yang Ziyan Wang Girish A. Koushiks Yali Du Ying Wen Jun Wang OffRL 35 3 0 11 Feb 2024
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications Pranab Sahoo Ayush Kumar Singh Sriparna Saha Vinija Jain S. Mondal Aman Chadha 49 268 0 05 Feb 2024
Large Language Model Agent for Hyper-Parameter Optimization Siyi Liu Chen Gao Yong Li 37 19 0 02 Feb 2024
When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges Wang Chao Jiaxuan Zhao Licheng Jiao Lingling Li Fang Liu Shuyuan Yang 61 13 0 19 Jan 2024
Zero-shot Generative Large Language Models for Systematic Review Screening Automation Shuai Wang Harrisen Scells Shengyao Zhuang Martin Potthast Bevan Koopman Guido Zuccon 25 12 0 12 Jan 2024
Universal Self-Consistency for Large Language Model Generation Xinyun Chen Renat Aksitov Uri Alon Jie Jessie Ren Kefan Xiao Pengcheng Yin Sushant Prakash Charles Sutton Xuezhi Wang Denny Zhou LRM 24 65 0 29 Nov 2023
Model-as-a-Service (MaaS): A Survey Wensheng Gan Shicheng Wan Philip S. Yu 19 21 0 10 Nov 2023
A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models Shengyao Zhuang Honglei Zhuang Bevan Koopman Guido Zuccon 30 21 0 14 Oct 2023
PACE: Improving Prompt with Actor-Critic Editing for Large Language Model Yihong Dong Kangcheng Luo Xue Jiang Zhi Jin Ge Li LRM KELM 13 9 0 19 Aug 2023
Of Models and Tin Men: A Behavioural Economics Study of Principal-Agent Problems in AI Alignment using Large-Language Models S. Phelps Rebecca E. Ranson LLMAG 24 1 0 20 Jul 2023
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango Aman Madaan Amir Yazdanbakhsh LRM 144 116 0 16 Sep 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 4,048 0 24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,217 0 21 Mar 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 8,402 0 28 Jan 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 277 1,114 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,835 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,913 0 31 Dec 2020