Discrete Prompt Compression with Reinforcement Learning

17 August 2023

Papers citing "Discrete Prompt Compression with Reinforcement Learning"

8 / 8 papers shown

Title
From Reading to Compressing: Exploring the Multi-document Reader for Prompt Compression Eunseong Choi Sunkyung Lee Minjin Choi June Park Jongwuk Lee 63 1 0 03 Jan 2025
Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles Xiao Pu Tianxing He Xiaojun Wan VLM 40 3 0 17 Oct 2024
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization Yasaman Jafari Dheeraj Mekala Rose Yu Taylor Berg-Kirkpatrick 53 7 0 18 Feb 2024
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 313 11,953 0 04 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 213 1,657 0 15 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction Raphael Schumann Lili Mou Yao Lu Olga Vechtomova K. Markert 191 41 0 04 May 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 0 21 Jan 2020