Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing Models

5 March 2022

Papers citing "Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing Models"

7 / 7 papers shown

Title
Multi-Task Domain Adaptation for Language Grounding with 3D Objects Penglei Sun Yaoxian Song Xinglin Pan Peijie Dong Xiaofei Yang Qiang-qiang Wang Zhixu Li Tiefeng Li Xiaowen Chu 70 1 0 03 Jul 2024
The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing Debayan Banerjee Pranav Ajit Nair Ricardo Usbeck Chris Biemann 31 1 0 24 May 2023
Federated Few-Shot Learning for Mobile NLP Dongqi Cai Shangguang Wang Yaozong Wu F. Lin Mengwei Xu FedML 13 12 0 12 Dec 2022
Memorization of Named Entities in Fine-tuned BERT Models Andor Diera N. Lell Aygul Garifullina A. Scherp 17 0 0 07 Dec 2022
Constrained Language Models Yield Few-Shot Semantic Parsers Richard Shin C. H. Lin Sam Thomson Charles C. Chen Subhro Roy Emmanouil Antonios Platanios Adam Pauls Dan Klein J. Eisner Benjamin Van Durme 305 199 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 283 3,879 0 18 Apr 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 304 7,005 0 20 Apr 2018