Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing

1 November 2023

Papers citing "Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing"

6 / 6 papers shown

Title
Scaling Instruction-Finetuned Language Models Hyung Won Chung Le Hou Shayne Longpre Barret Zoph Yi Tay ... Jacob Devlin Adam Roberts Denny Zhou Quoc V. Le Jason W. Wei ReLM LRM 194 3,128 0 20 Oct 2022
Language Models (Mostly) Know What They Know Saurav Kadavath Tom Conerly Amanda Askell T. Henighan Dawn Drain ... Nicholas Joseph Benjamin Mann Sam McCandlish C. Olah Jared Kaplan ELM 119 826 0 11 Jul 2022
Autoregressive Entity Retrieval Nicola De Cao Gautier Izacard Sebastian Riedel Fabio Petroni 181 445 0 02 Oct 2020
How Can We Know What Language Models Know? Zhengbao Jiang Frank F. Xu Jun Araki Graham Neubig KELM 132 1,405 0 28 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 445 20,181 0 23 Oct 2019
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost Noam M. Shazeer Mitchell Stern ODL 81 1,051 0 11 Apr 2018