【文件属性】：
文件名称：Prompt相关论文合集
文件大小：81.9MB
文件格式：ZIP
更新时间：2021-12-03 11:27:53
Prompt 深度学习 tuning 预训练模型 NLP
Prompt tuning 目前的相关论文合集，总计70篇左右
【文件预览】：
PromptPapers
----Overview()
--------Pre-train, Prompt, and Predict A Systematic Survey of.pdf(11.76MB)
--------OpenPrompt An Open-source Framework for Prompt-learning.pdf(296KB)
--------Pre-Trained Models Past, Present and Future.pdf(2.18MB)
--------Paradigm Shift in Natural Language Processing.pdf(844KB)
----Improvements()
--------Revisiting Self-Training for Few-Shot Learning of Language Model.pdf(561KB)
--------Knowledgeable Prompt-tuning Incorporating Knowledge into Prompt Verbalizer for Text Classification.pdf(441KB)
--------Text Generation with Efficient (Soft) Q-Learning.pdf(3.51MB)
--------Adapting Language Models for Zero-shot Learning by Meta-tuning on.pdf(1.26MB)
--------Noisy Channel Language Model Prompting.pdf(1.46MB)
--------Calibrate Before Use Improving Few-Shot Performance of Language Models.pdf(679KB)
----P-Tuning v2 Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.pdf(713KB)
----Pilot Work()
--------Exploring the Limits of Transfer Learning with a Unified.pdf(1.11MB)
--------Language Models are Few-Shot Learners.pdf(6.45MB)
--------Parameter-Efficient Transfer Learning for NLP.pdf(707KB)
--------How Can We Know What Language Models Know.pdf(466KB)
--------Language Models as Knowledge Bases.pdf(335KB)
----Analysis()
--------What Makes Good In-Context Examples for GPT-3.pdf(401KB)
--------Cross-Task Generalization via Natural Language Crowdsourcing Instructions.pdf(1.7MB)
--------Surface Form Competition Why the Highest Probability Answer Isn’t Always Right.pdf(4.45MB)
--------Do Prompt-Based Models Really Understand.pdf(653KB)
--------True Few-Shot Learning with Language Models.pdf(902KB)
--------Fantastically Ordered Prompts and Where to Find Them.pdf(513KB)
--------Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning.pdf(1.28MB)
--------Adapting Language Models for Zero-shot Learning by Meta-tuning on.pdf(1.26MB)
--------TOWARDS A UNIFIED VIEW OF PARAMETER-EFFICIENT TRANSFER LEARNING.pdf(1.8MB)
--------How Many Data Points is a Prompt Worth.pdf(1.05MB)
--------Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning.pdf(622KB)
--------Why Do Pretrained Language Models Help in Downstream.pdf(1.01MB)
----Specializations()
--------GPT3Mix Leveraging Large-scale Language Models for Text Augmentation.pdf(510KB)
--------Exploring Prompt-based Few-shot Learning for Grounded Dialog Generation.pdf(12.2MB)
--------CONTROL PREFIXES for Text Generation.pdf(926KB)
--------Template-free Prompt Tuning for Few-shot NER.pdf(414KB)
--------PADA A Prompt-based Autoregressive Approach for Adaptation to Unseen Domains.pdf(500KB)
--------LEARNING TO PROMPT FOR VISION-LANGUAGE MODELS.pdf(2.14MB)
--------Few-Shot Bot Prompt-Based Learning for Dialogue Systems.pdf(7.16MB)
--------A Good Prompt Is Worth Millions of Parameters.pdf(930KB)
--------Prompt-Learning for Fine-Grained Entity Typing.pdf(1.48MB)
--------MSP Multi-Stage Prompting for Making Pre-trained Language Models Better Translators.pdf(438KB)
--------KnowPrompt Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction.pdf(3.51MB)
--------Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction.pdf(628KB)
--------SentiPrompt Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis.pdf(837KB)
--------The Power of Prompt Tuning for Low-Resource Semantic Parsing.pdf(743KB)
--------Thinking Aloud Dynamic Context Generation Improves Zero-Shot.pdf(961KB)
--------Constrained Language Models Yield Few-Shot Semantic Parsers.pdf(800KB)
--------CPT COLORFUL PROMPT TUNING FOR PRE-TRAINED VISION-LANGUAGE MODELS.pdf(1000KB)
----Basics()
--------Cutting Down on Prompts and Parameters.pdf(641KB)
--------The Power of Scale for Parameter-Efficient Prompt Tuning.pdf(535KB)
--------Improving and Simplifying Pattern Exploiting Training.pdf(518KB)
--------Exploiting Cloze Questions for Few Shot Text Classification and Natural.pdf(475KB)
--------Factual Probing Is [MASK] Learning vs. Learning to Recall.pdf(908KB)
--------NSP-BERT A Prompt-based Zero-Shot Learner.pdf(659KB)
--------AUTOPROMPT Eliciting Knowledge from Language Models.pdf(648KB)
--------DIFFERENTIABLE PROMPT MAKES PRE-TRAINED.pdf(1.04MB)
--------MULTITASK PROMPTED TRAINING ENABLES.pdf(3.11MB)
--------FINETUNED LANGUAGE MODELS.pdf(1.19MB)
--------Prompt Programming for Large Language Models.pdf(182KB)
--------PPT Pre-trained Prompt Tuning for Few-shot Learning.pdf(520KB)
--------Prefix-Tuning Optimizing Continuous Prompts for Generation.pdf(1.5MB)
--------Making Pre-trained Language Models Better Few-shot Learners.pdf(1.37MB)
--------GPT Understands, Too.pdf(1.51MB)
--------It’s Not Just Size That Matters.pdf(457KB)
--------WARP Word-level Adversarial ReProgramming.pdf(1.59MB)
--------PTR Prompt Tuning with Rules for Text Classification.pdf(785KB)
--------Learning How to Ask Querying LMs with Mixtures of Soft Prompts.pdf(410KB)
--------Automatically Identifying Words That Can Serve as Labels for Few-Shot.pdf(269KB)