A Curated List of Language Models in Scientific Domains
-
Updated
Jun 4, 2024
A Curated List of Language Models in Scientific Domains
Must-read Papers on Knowledge Editing for Large Language Models.
Question and answer generation (QAG) is a natural language processing (NLP) task that generates a question and an answer in the same time by using context information. The input context can be represented in form of structured information in a database or raw text. The outputs of QAG systems can be directly applied to several NLP applications...
Official repository for NAACL'24 paper: TrojFSP: Trojan Insertion in Few-shot Prompt Tuning
An Empirical Evaluation of Pre-trained Large Language Models for Repairing Declarative Formal Specifications
A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
The official GitHub page for the survey paper "A Survey of Large Language Models".
LingLong (玲珑): a small-scale Chinese pretrained language model
Awesome papers on Language-Model-as-a-Service (LMaaS)
[ICLR 2024] Domain-Agnostic Molecular Generation with Chemical Feedback
Top2Vec learns jointly embedded topic, document and word vectors.
Study Uses LLMs to craft accurate, engaging headlines from Reddit Posts
The Paper List on Data Contamination for Large Language Models Evaluation.
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
An Open-sourced Knowledgable Large Language Model Framework.
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds (NAACL'22)
A repository listing important datasets for multimodal recommender systems
Pre-Training and Fine-Tuning transformer models using PyTorch and the Hugging Face Transformers library. Whether you're delving into pre-training with custom datasets or fine-tuning for specific classification tasks, these notebooks offer explanations and code for implementation.
A Survey on Automatic Generation of Figurative Language: From Rule-based Systems to Large Language Models (ACM Computing Surveys)
PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking
Add a description, image, and links to the pre-trained-language-models topic page so that developers can more easily learn about it.
To associate your repository with the pre-trained-language-models topic, visit your repo's landing page and select "manage topics."