Can discrete information extraction prompts generalize across language models?

20 February 2023

Papers citing "Can discrete information extraction prompts generalize across language models?"

9 / 9 papers shown

Title
Demystifying optimized prompts in language models Rimon Melamed Lucas H. McCabe H. H. Huang 39 0 0 04 May 2025
STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models Shreyas Basavatia K. Murugesan Shivam Ratnakar SyDa AI4CE 25 6 0 09 Jun 2024
Unnatural language processing: How do language models handle machine-generated prompts? Corentin Kervadec Francesca Franzon Marco Baroni 23 5 0 24 Oct 2023
Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models Zijun Wu Yongkang Wu Lili Mou VLM 25 2 0 02 Oct 2023
Language models are weak learners Hariharan Manikandan Yiding Jiang J Zico Kolter 36 15 0 25 Jun 2023
Utilizing ChatGPT to Enhance Clinical Trial Enrollment Georgios Peikos S. Symeonidis Pranav Kasela G. Pasi LM&MA 24 12 0 03 Jun 2023
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 213 1,656 0 15 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,844 0 18 Apr 2021
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 413 2,584 0 03 Sep 2019