MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization

18 February 2024

Papers citing "MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization"

10 / 10 papers shown

Title
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization Xinyuan Wang Chenxi Li Zhen Wang Fan Bai Haotian Luo Jiayou Zhang Nebojsa Jojic Eric P. Xing Zhiting Hu 93 119 0 25 Oct 2023
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer Tu Vu Brian Lester Noah Constant Rami Al-Rfou Daniel Cer VLM LRM 187 286 0 15 Oct 2021
Survey of Low-Resource Machine Translation Barry Haddow Rachel Bawden Antonio Valerio Miceli Barone Jindvrich Helcl Alexandra Birch AIMat 63 160 0 01 Sep 2021
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts Guanghui Qin J. Eisner 55 546 0 14 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 215 4,244 0 01 Jan 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 328 1,612 0 21 Jan 2020
Pareto Multi-Task Learning Xi Lin Hui-Ling Zhen Zhenhua Li Qingfu Zhang Sam Kwong 76 350 0 30 Dec 2019
How Can We Know What Language Models Know? Zhengbao Jiang Frank F. Xu Jun Araki Graham Neubig KELM 126 1,402 0 28 Nov 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 212 7,481 0 02 Oct 2019
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation Runzhe Yang Xingyuan Sun Karthik Narasimhan 74 254 0 21 Aug 2019