Universal Self-Adaptive Prompting

Universal Self-Adaptive Prompting

24 May 2023

Xingchen Wan

Hootan Nakhost

Julian Martin Eisenschlos

Sercan Ö. Arik

Tomas Pfister

Papers citing "Universal Self-Adaptive Prompting"

17 / 17 papers shown

Title
Bottom-Up Synthesis of Knowledge-Grounded Task-Oriented Dialogues with Iteratively Self-Refined Prompts Kun Qian Maximillian Chen Siyan Li Arpit Sharma Zhou Yu 22 0 0 19 Apr 2025
Efficient Knowledge Feeding to Language Models: A Novel Integrated Encoder-Decoder Architecture Sachin Kumar Rishi Gottimukkala Supriya Devidutta K. Spindler RALM KELM 3DV 42 0 0 07 Feb 2025
Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators Yinhong Liu Han Zhou Zhijiang Guo Ehsan Shareghi Ivan Vulić Anna Korhonen Nigel Collier ALM 128 64 0 20 Jan 2025
What Is Wrong with My Model? Identifying Systematic Problems with Semantic Data Slicing Chenyang Yang Yining Hong Grace A. Lewis Tongshuang Wu Christian Kastner 36 1 0 14 Sep 2024
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis Miaoran Zhang Vagrant Gautam Mingyang Wang Jesujoba Oluwadara Alabi Xiaoyu Shen Dietrich Klakow Marius Mosbach 36 8 0 20 Feb 2024
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering Sheng Liu Haotian Ye Lei Xing James Y. Zou 26 83 0 11 Nov 2023
Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning Hongfu Liu Ye Wang 29 9 0 13 Oct 2023
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering Han Zhou Xingchen Wan Lev Proleev Diana Mincu Jilin Chen Katherine A. Heller Subhrajit Roy UQLM 18 53 0 29 Sep 2023
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 206 2,232 0 22 Mar 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 2022
Prototypical Calibration for Few-shot Learning of Language Models Zhixiong Han Y. Hao Li Dong Yutao Sun Furu Wei 160 52 0 20 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,163 0 21 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 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 203 1,651 0 15 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 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 1,296 0 17 Jan 2021
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 294 6,927 0 20 Apr 2018