【ICLR 2022】Towards Continual Knowledge Learning of Language Models - 代码天地

【ICLR 2022】Towards Continual Knowledge Learning of Language Models

企业开发 2023-04-17 00:39:41 阅读次数: 0

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转载自blog.csdn.net/qq_16763983/article/details/125156856

【ICLR 2022】Towards Continual Knowledge Learning of Language Models

转：Language Models as Knowledge Embeddings

Augmented Large Language Models with Parametric Knowledge Guiding

Trends in Integration of Knowledge and Large Language Models

Continual Pre-Training of Large Language Models: How to (re)warm your model?

Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models

Learning to Prompt for Vision-Language Models

Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey，2020

Three scenarios for continual learning

Variational Continual Learning

Learning efficient object detection models with knowledge distillation论文笔记

WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models

Factorized Hidden Variability Learning For Adaptation Of Short Duration Language Identification Models

【微调视觉-语言模型】Learning to Prompt for Vision-Language Models

clip:learning transferable visual models from natural language supervision

CLIP : Learning Transferable Visual Models From Natural Language Supervision

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

MASSIVE EDITING FOR LARGE LANGUAGE MODELS VIA META LEARNING

【提示学习】AUTOPROMPT: Eliciting Knowledge from Language Models with Automatically Generated Prompts

论文解读：Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentati

《RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control》译读笔记

论文解读: 2023-Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval

开放域问答论文阅读-Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augme

NIPS 2018 continual learning workshops

《Rethinking Video Anomaly Detection - A Continual Learning Approach》异常检测 WACV-2022

【ICLR 2023】Diffusion Models扩散模型和Prompt Learning提示学习：prompt-to-prompt

some knowledge of language

Policy Consolidation for Continual Reinforcement Learning(2019 DeepMind)

ICLR 2022：文本驱动的图像风格迁移：Language-Driven Image Style Transfer

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