Text Alignment Is An Efficient Unified Model for Massive NLP Tasks

6 July 2023

Papers citing "Text Alignment Is An Efficient Unified Model for Massive NLP Tasks"

7 / 7 papers shown

Title
Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer Bowen Tan Yun Zhu Lijuan Liu Eric P. Xing Zhiting Hu Jindong Chen ALM LRM 37 7 0 12 Nov 2023
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings Shibo Hao Tianyang Liu Zhen Wang Zhiting Hu RALM LLMAG 54 173 0 19 May 2023
MVP: Multi-task Supervised Pre-training for Natural Language Generation Tianyi Tang Junyi Li Wayne Xin Zhao Ji-Rong Wen 41 24 0 24 Jun 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 213 1,657 0 15 Oct 2021
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics Artidoro Pagnoni Vidhisha Balachandran Yulia Tsvetkov HILM 228 305 0 27 Apr 2021
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies Mor Geva Daniel Khashabi Elad Segal Tushar Khot Dan Roth Jonathan Berant RALM 250 673 0 06 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 297 6,959 0 20 Apr 2018