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Automatic Prompt Optimization with "Gradient Descent" and Beam Search

Automatic Prompt Optimization with "Gradient Descent" and Beam Search

4 May 2023
Reid Pryzant
Dan Iter
Jerry Li
Y. Lee
Chenguang Zhu
Michael Zeng
ArXivPDFHTML

Papers citing "Automatic Prompt Optimization with "Gradient Descent" and Beam Search"

18 / 68 papers shown
Title
Language Agents as Optimizable Graphs
Language Agents as Optimizable Graphs
Mingchen Zhuge
Wenyi Wang
Louis Kirsch
Francesco Faccio
Dmitrii Khizbullin
Jürgen Schmidhuber
LLMAG
34
19
0
26 Feb 2024
FIPO: Free-form Instruction-oriented Prompt Optimization with Preference
  Dataset and Modular Fine-tuning Schema
FIPO: Free-form Instruction-oriented Prompt Optimization with Preference Dataset and Modular Fine-tuning Schema
Junru Lu
Siyu An
Min Zhang
Yulan He
Di Yin
Xing Sun
56
2
0
19 Feb 2024
PhaseEvo: Towards Unified In-Context Prompt Optimization for Large
  Language Models
PhaseEvo: Towards Unified In-Context Prompt Optimization for Large Language Models
Wendi Cui
Jiaxin Zhang
Zhuohang Li
Hao Sun
Damien Lopez
Kamalika Das
Bradley Malin
Kumar Sricharan
22
7
0
17 Feb 2024
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement
  Learning and Large Language Models
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models
M. Pternea
Prerna Singh
Abir Chakraborty
Y. Oruganti
M. Milletarí
Sayli Bapat
Kebei Jiang
OffRL
33
7
0
02 Feb 2024
Transfer Attacks and Defenses for Large Language Models on Coding Tasks
Transfer Attacks and Defenses for Large Language Models on Coding Tasks
Chi Zhang
Zifan Wang
Ravi Mangal
Matt Fredrikson
Limin Jia
Corina S. Pasareanu
AAML
SILM
29
1
0
22 Nov 2023
Quantifying Language Models' Sensitivity to Spurious Features in Prompt
  Design or: How I learned to start worrying about prompt formatting
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
Melanie Sclar
Yejin Choi
Yulia Tsvetkov
Alane Suhr
53
308
0
17 Oct 2023
PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine
PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine
Chenrui Zhang
Lina Liu
Jinpeng Wang
Chuyuan Wang
Xiaodi Sun
Hongyu Wang
Mingchen Cai
LLMAG
47
24
0
23 Aug 2023
PACE: Improving Prompt with Actor-Critic Editing for Large Language
  Model
PACE: Improving Prompt with Actor-Critic Editing for Large Language Model
Yihong Dong
Kangcheng Luo
Xue Jiang
Zhi Jin
Ge Li
LRM
KELM
36
9
0
19 Aug 2023
MasterKey: Automated Jailbreak Across Multiple Large Language Model
  Chatbots
MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots
Gelei Deng
Yi Liu
Yuekang Li
Kailong Wang
Ying Zhang
Zefeng Li
Haoyu Wang
Tianwei Zhang
Yang Liu
SILM
37
118
0
16 Jul 2023
AutoHint: Automatic Prompt Optimization with Hint Generation
AutoHint: Automatic Prompt Optimization with Hint Generation
Hong Sun
Xue Li
Yi Xu
Youkow Homma
Qinhao Cao
Min-man Wu
Jian Jiao
Denis Xavier Charles
39
23
0
13 Jul 2023
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs
  Sampling
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
Weijia Xu
Andrzej Banburski-Fahey
Nebojsa Jojic
ReLM
LRM
21
32
0
17 May 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
363
3,029
0
22 Mar 2023
An Overview on Language Models: Recent Developments and Outlook
An Overview on Language Models: Recent Developments and Outlook
Chengwei Wei
Yun Cheng Wang
Bin Wang
C.-C. Jay Kuo
33
42
0
10 Mar 2023
Instruction Induction: From Few Examples to Natural Language Task
  Descriptions
Instruction Induction: From Few Examples to Natural Language Task Descriptions
Or Honovich
Uri Shaham
Samuel R. Bowman
Omer Levy
ELM
LRM
120
137
0
22 May 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
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
281
1,125
0
18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,872
0
18 Apr 2021
WARP: Word-level Adversarial ReProgramming
WARP: Word-level Adversarial ReProgramming
Karen Hambardzumyan
Hrant Khachatrian
Jonathan May
AAML
254
342
0
01 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
243
1,927
0
31 Dec 2020
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