Self-Instructed Derived Prompt Generation Meets In-Context Learning:
Unlocking New Potential of Black-Box LLMs

Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs

3 September 2024

Zhuo Li

Xiang Wan

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Papers citing "Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs"

17 / 17 papers shown

Title
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena Lianmin Zheng Wei-Lin Chiang Ying Sheng Siyuan Zhuang Zhanghao Wu ... Dacheng Li Eric Xing Haotong Zhang Joseph E. Gonzalez Ion Stoica ALM OSLM ELM 452 4,444 0 09 Jun 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward Model Rafael Rafailov Archit Sharma E. Mitchell Stefano Ermon Christopher D. Manning Chelsea Finn ALM 389 4,163 0 29 May 2023
Better Zero-Shot Reasoning with Self-Adaptive Prompting Xingchen Wan Ruoxi Sun H. Dai Sercan O. Arik Tomas Pfister ReLM OffRL LRM 70 53 0 23 May 2023
Iterative Forward Tuning Boosts In-Context Learning in Language Models Jiaxi Yang Binyuan Hui Min Yang Bailin Wang Bowen Li Binhua Li Fei Huang Yongbin Li 89 16 0 22 May 2023
Constitutional AI: Harmlessness from AI Feedback Yuntao Bai Saurav Kadavath Sandipan Kundu Amanda Askell John Kernion ... Dario Amodei Nicholas Joseph Sam McCandlish Tom B. Brown Jared Kaplan SyDa MoMe 214 1,646 0 15 Dec 2022
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models Aarohi Srivastava Abhinav Rastogi Abhishek Rao Abu Awal Md Shoeb Abubakar Abid ... Zhuoye Zhao Zijian Wang Zijie J. Wang Zirui Wang Ziyi Wu ELM 213 1,777 0 09 Jun 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 888 13,207 0 04 Mar 2022
Learning To Retrieve Prompts for In-Context Learning Ohad Rubin Jonathan Herzig Jonathan Berant VPVLM RALM 88 709 0 16 Dec 2021
Do Prompt-Based Models Really Understand the Meaning of their Prompts? Albert Webson Ellie Pavlick LRM 113 374 0 02 Sep 2021
Noisy Channel Language Model Prompting for Few-Shot Text Classification Sewon Min Michael Lewis Hannaneh Hajishirzi Luke Zettlemoyer VLM 90 220 0 09 Aug 2021
Improving and Simplifying Pattern Exploiting Training Derek Tam Rakesh R Menon Joey Tianyi Zhou Shashank Srivastava Colin Raffel 78 151 0 22 Mar 2021
BERTese: Learning to Speak to BERT Adi Haviv Jonathan Berant Amir Globerson 81 124 0 09 Mar 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 390 1,390 0 17 Jan 2021
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 904 42,463 0 28 May 2020
How Can We Know What Language Models Know? Zhengbao Jiang Frank F. Xu Jun Araki Graham Neubig KELM 146 1,412 0 28 Nov 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,324 0 11 Oct 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 571 19,296 0 20 Jul 2017

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