An Open-sourced Knowledgable Large Language Model Framework.
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Updated
Jun 7, 2024 - Python
An Open-sourced Knowledgable Large Language Model Framework.
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
The official GitHub page for the survey paper "A Survey of Large Language Models".
LingLong (玲珑): a small-scale Chinese pretrained language model
[ICLR 2024] Domain-Agnostic Molecular Generation with Chemical Feedback
Top2Vec learns jointly embedded topic, document and word vectors.
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking
ChatCell: Facilitating Single-Cell Analysis with Natural Language
A Pre-trained Language Model for Semantic Similarity Measurement of Persian Informal Short Texts
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding (Findings of EMNLP'23)
An Open-Source Framework for Prompt-Learning.
Source code for ACL 2023 Findings paper "Making Pre-trained Language Models both Task-solvers and Self-calibrators"
[ACL'23] Open KG Completion with PLM (Bridging Text Mining and Prompt Engineering)
A PyTorch-based model pruning toolkit for pre-trained language models
[ICLR 2023] Multimodal Analogical Reasoning over Knowledge Graphs
HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 HugNLP will released to @HugAILab
[EMNLP 2023] Knowledge Rumination for Pre-trained Language Models
[CCL 2023] Revisiting k-NN for Fine-tuning Pre-trained Language Models
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