conftrace_

parameter-efficient tuning

156 papers

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Also known as

PET PETUNING

Co-occurring keywords

large language model (13587) transfer learning (5449) prompt tuning (391) few-shot learning (3398) parameter-efficient fine-tuning (736) model compression (3302) low-rank adaptation (560) vision-language model (2348) pretrained language model (1030) language model (4599)

Papers

Argument Detection in Student Essays under Resource Constraints EMNLP 2023
XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding ACL 2023
Parameter-Efficient Tuning with Special Token Adaptation EACL 2023
Parameter-Efficient Tuning Makes a Good Classification Head EMNLP 2022
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting COLING 2022
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts EMNLP 2022
FPT: Improving Prompt Tuning Efficiency via Progressive Training EMNLP 2022
Language Model Priming for Cross-Lingual Event Extraction AAAI 2022
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts EMNLP 2022
Sparse Structure Search for Delta Tuning NIPS 2022
PRO-CS : An Instance-Based Prompt Composition Technique for Code-Switched Tasks EMNLP 2022
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning EMNLP 2022
Calibrating Factual Knowledge in Pretrained Language Models EMNLP 2022
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning ACL 2022
GPS: Genetic Prompt Search for Efficient Few-Shot Learning EMNLP 2022
Parameter-Efficient Legal Domain Adaptation EMNLP 2022
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis NAACL 2022
Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks COLING 2022
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion EMNLP 2022
DS-TOD: Efficient Domain Specialization for Task-Oriented Dialog ACL 2022
Composable Sparse Fine-Tuning for Cross-Lingual Transfer ACL 2022
BMInf: An Efficient Toolkit for Big Model Inference and Tuning ACL 2022
Efficiently Tuned Parameters Are Task Embeddings EMNLP 2022
BBTv2: Towards a Gradient-Free Future with Large Language Models EMNLP 2022
Revisiting Parameter-Efficient Tuning: Are We Really There Yet? EMNLP 2022