TEMPERA: Test-Time Prompting via Reinforcement Learning

21 November 2022

Tianjun Zhang

Papers citing "TEMPERA: Test-Time Prompting via Reinforcement Learning"

39 / 39 papers shown

Title
TAPO: Task-Referenced Adaptation for Prompt Optimization Wenxin Luo Luu Anh Tuan Xiaopeng Li Weibo Zhou Pengyue Jia Xiangyu Zhao 47 0 0 12 Jan 2025
TP-Eval: Tap Multimodal LLMs' Potential in Evaluation by Customizing Prompts Yuxuan Xie Tianhua Li Wenqi Shao Kaipeng Zhang 23 0 0 23 Oct 2024
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely Siyun Zhao Yuqing Yang Zilong Wang Zhiyuan He Luna Qiu Lili Qiu SyDa RALM 3DV 44 35 0 23 Sep 2024
Large Language Models are Interpretable Learners Ruochen Wang Si Si Felix X. Yu Dorothea Wiesmann Cho-Jui Hsieh Inderjit Dhillon 24 3 0 25 Jun 2024
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models Chengzhengxu Li Xiaoming Liu Zhaohan Zhang Yichen Wang Chen Liu Y. Lan Chao Shen 60 2 0 15 Jun 2024
Task Facet Learning: A Structured Approach to Prompt Optimization Gurusha Juneja Nagarajan Natarajan Hua Li Jian Jiao Jian Jiao Amit Sharma 53 7 0 15 Jun 2024
CodeCloak: A Method for Evaluating and Mitigating Code Leakage by LLM Code Assistants Amit Finkman Eden Bar-Kochva Avishag Shapira D. Mimran Yuval Elovici A. Shabtai ELM 36 1 0 13 Apr 2024
Efficient Prompting Methods for Large Language Models: A Survey Kaiyan Chang Songcheng Xu Chenglong Wang Yingfeng Luo Tong Xiao Jingbo Zhu LRM 45 32 0 01 Apr 2024
Intent-based Prompt Calibration: Enhancing prompt optimization with synthetic boundary cases Elad Levi Eli Brosh Matan Friedmann 24 8 0 05 Feb 2024
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 21 7 0 02 Feb 2024
A Bayesian approach for prompt optimization in pre-trained language models Antonio Sabbatella Andrea Ponti Antonio Candelieri I. Giordani F. Archetti 34 1 0 01 Dec 2023
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 23 102 0 25 Oct 2023
What's the Magic Word? A Control Theory of LLM Prompting Aman Bhargava Cameron Witkowski Manav Shah Matt W. Thomson LLMAG 59 29 0 02 Oct 2023
SPELL: Semantic Prompt Evolution based on a LLM Yujian Betterest Li Kai Wu 46 10 0 02 Oct 2023
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL Hao Sun Alihan Huyuk M. Schaar OffRL LRM 20 27 0 13 Sep 2023
Matching Table Metadata with Business Glossaries Using Large Language Models Elita Lobo Oktie Hassanzadeh Nhan Pham Nandana Mihindukulasooriya D. Subramanian Horst Samulowitz 16 3 0 08 Sep 2023
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 46 10 0 28 Aug 2023
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning Chun-Mei Feng Kai Yu Yong Liu Salman Khan W. Zuo VLM 22 77 0 11 Aug 2023
Pre-Trained Large Language Models for Industrial Control Lei Song Chuheng Zhang Li Zhao Jiang Bian LM&Ro AI4CE 32 12 0 06 Aug 2023
Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors Kolby Nottingham Yasaman Razeghi Kyungmin Kim JB Lanier Pierre Baldi Roy Fox Sameer Singh 30 9 0 21 Jul 2023
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 34 23 0 13 Jul 2023
Preference-grounded Token-level Guidance for Language Model Fine-tuning Shentao Yang Shujian Zhang Congying Xia Yihao Feng Caiming Xiong Mi Zhou 29 23 0 01 Jun 2023
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models Shuai Zhao Xiaohan Wang Linchao Zhu Yezhou Yang VLM 26 22 0 29 May 2023
Universal Self-Adaptive Prompting Xingchen Wan Ruoxi Sun Hootan Nakhost H. Dai Julian Martin Eisenschlos Sercan Ö. Arik Tomas Pfister LRM 38 9 0 24 May 2023
Query Rewriting for Retrieval-Augmented Large Language Models Xinbei Ma Yeyun Gong Pengcheng He Hai Zhao Nan Duan KELM LRM 29 101 0 23 May 2023
Robust Prompt Optimization for Large Language Models Against Distribution Shifts Moxin Li Wenjie Wang Fuli Feng Yixin Cao Jizhi Zhang Tat-Seng Chua OffRL 42 15 0 23 May 2023
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency Lingfeng Shen Weiting Tan Boyuan Zheng Daniel Khashabi VLM 39 6 0 18 May 2023
Automatic Prompt Optimization with "Gradient Descent" and Beam Search Reid Pryzant Dan Iter Jerry Li Y. Lee Chenguang Zhu Michael Zeng 11 302 0 04 May 2023
Guiding Large Language Models via Directional Stimulus Prompting Zekun Li Baolin Peng Pengcheng He Michel Galley Jianfeng Gao Xi Yan LLMAG LRM LM&Ro 40 94 0 22 Feb 2023
In-context Example Selection with Influences Nguyen Tai Eric Wong 13 48 0 21 Feb 2023
Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting Xi Ye Greg Durrett LRM ReLM 32 12 0 09 Feb 2023
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts Stephen H. Bach Victor Sanh Zheng-Xin Yong Albert Webson Colin Raffel ... Khalid Almubarak Xiangru Tang Dragomir R. Radev Mike Tian-Jian Jiang Alexander M. Rush VLM 225 338 0 02 Feb 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 238 806 0 14 Oct 2021
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 279 1,124 0 18 Apr 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
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,312 0 17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,919 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 0 21 Jan 2020
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 297 6,959 0 20 Apr 2018