InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators

26 October 2023

Papers citing "InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators"

10 / 10 papers shown

Title
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers Xinyu Tang Xiaolei Wang Wayne Xin Zhao Siyuan Lu Yaliang Li Ji-Rong Wen LRM 49 13 0 28 Jan 2025
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch Caigao Jiang Xiang Shu Hong Qian Xingyu Lu Jun-ping Zhou Aimin Zhou Yang Yu 34 1 0 17 Oct 2024
Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution Ankita Sinha Wendi Cui Kamalika Das Jiaxin Zhang AAML 28 2 0 12 Oct 2024
LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking Melvin Wong Jiao Liu Thiago Rios Stefan Menzel Yew-Soon Ong 40 2 0 21 Jun 2024
Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker Sukmin Cho Soyeong Jeong Jeongyeon Seo Jong C. Park OffRL 57 23 0 23 May 2023
Poisoning Language Models During Instruction Tuning Alexander Wan Eric Wallace Sheng Shen Dan Klein SILM 90 124 0 01 May 2023
Instruction Induction: From Few Examples to Natural Language Task Descriptions Or Honovich Uri Shaham Samuel R. Bowman Omer Levy ELM LRM 110 135 0 22 May 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,881 0 04 Mar 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,835 0 18 Apr 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,943 0 20 Apr 2018