Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap
for Prompt-Based Large Language Models and Beyond

Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond

22 February 2024

Yulan He

Papers citing "Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond"

6 / 6 papers shown

Title
$π$ -Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation Chengyue Wu Teng Wang Yixiao Ge Zeyu Lu Rui-Zhi Zhou Ying Shan Ping Luo MoMe 80 35 0 27 Apr 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 221 335 0 02 Feb 2022
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 209 179 0 18 Apr 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 274 1,114 0 18 Apr 2021
Geometric Dataset Distances via Optimal Transport David Alvarez-Melis Nicolò Fusi OT 70 189 0 07 Feb 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 294 6,927 0 20 Apr 2018