When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning

17 May 2022

Papers citing "When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning"

11 / 11 papers shown

Title
ALLaM: Large Language Models for Arabic and English M Saiful Bari Yazeed Alnumay Norah A. Alzahrani Nouf M. Alotaibi H. A. Alyahya ... Jeril Kuriakose Abdalghani Abujabal Nora Al-Twairesh Areeb Alowisheq Haidar Khan 42 11 0 22 Jul 2024
Linguistic Knowledge Can Enhance Encoder-Decoder Models (If You Let It) Alessio Miaschi F. Dell’Orletta Giulia Venturi 55 0 0 27 Feb 2024
A State-Vector Framework for Dataset Effects E. Sahak Zining Zhu Frank Rudzicz 28 1 0 17 Oct 2023
Cross-lingual Cross-temporal Summarization: Dataset, Models, Evaluation Ran Zhang Jihed Ouni Steffen Eger 24 6 0 22 Jun 2023
TIES-Merging: Resolving Interference When Merging Models Prateek Yadav Derek Tam Leshem Choshen Colin Raffel Joey Tianyi Zhou MoMe 42 253 0 02 Jun 2023
Transferring Fairness using Multi-Task Learning with Limited Demographic Information Carlos Alejandro Aguirre Mark Dredze 32 0 0 22 May 2023
Prompt Learning to Mitigate Catastrophic Forgetting in Cross-lingual Transfer for Open-domain Dialogue Generation Lei Liu J. Huang CLL 26 2 0 12 May 2023
SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning M Saiful Bari Aston Zhang Shuai Zheng Xingjian Shi Yi Zhu Shafiq R. Joty Mu Li RALM VLM VPVLM LRM 42 5 0 21 Dec 2022
Dataless Knowledge Fusion by Merging Weights of Language Models Xisen Jin Xiang Ren Daniel Preotiuc-Pietro Pengxiang Cheng FedML MoMe 24 214 0 19 Dec 2022
Where to start? Analyzing the potential value of intermediate models Leshem Choshen Elad Venezian Shachar Don-Yehiya Noam Slonim Yoav Katz MoMe 17 27 0 31 Oct 2022
Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction Michiel van der Meer Myrthe Reuver Urja Khurana Lea Krause Selene Báez Santamaría 40 14 0 19 Sep 2022