The future is different: Large pre-trained language models fail in prediction tasks

1 November 2022

Papers citing "The future is different: Large pre-trained language models fail in prediction tasks"

4 / 4 papers shown

Title
Large Language Models and Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges Jiajia Li Mingle Xu Lirong Xiang Dong Chen Weichao Zhuang Xunyuan Yin Zhao Li 39 3 0 13 Aug 2023
Measuring the Robustness of NLP Models to Domain Shifts Nitay Calderon Naveh Porat Eyal Ben-David Alexander Chapanin Zorik Gekhman Nadav Oved Vitaly Shalumov Roi Reichart 21 7 0 31 May 2023
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models Adam Livska Tomávs Kovciský E. Gribovskaya Tayfun Terzi Eren Sezener ... Susannah Young Ellen Gilsenan-McMahon Sophia Austin Phil Blunsom Angeliki Lazaridou KELM 240 92 0 23 May 2022
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 243 1,452 0 18 Mar 2020