Survival of the Most Influential Prompts: Efficient Black-Box Prompt
Search via Clustering and Pruning

Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning

19 October 2023

Xingchen Wan

Papers citing "Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning"

8 / 8 papers shown

Title
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 82 0 0 25 Apr 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
On Calibration of LLM-based Guard Models for Reliable Content Moderation Hongfu Liu Hengguan Huang Hao Wang Xiangming Gu Ye Wang 51 2 0 14 Oct 2024
When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges Wang Chao Jiaxuan Zhao Licheng Jiao Lingling Li Fang Liu Shuyuan Yang 56 13 0 19 Jan 2024
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 4,048 0 24 May 2022
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