jie311
Follow
Stars
中文 NLP 预处理、解析工具包，准确、高效、易用 A Chinese NLP Preprocessing & Parsing Package www.jionlp.com
A standardized, fair, and reproducible benchmark for evaluating event extraction approaches
Official repository for paper "KeyEE: Enhancing Low-resource Generative Event Extraction with Auxiliary Keyword Sub-Prompt"
[ACL 2024] ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis.
code, models and prompts template for evaluation-filtering
[ACL'23 Findings] "Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors"
EMNLP'2023 (Findings): Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
Retrieval-Augmented Generation-based Relation Extraction
This is a meta-model distilled from LLMs for information extraction. This is an intermediate checkpoint that can be well-transferred to all kinds of downstream information extraction tasks.
This is the github repository for the paper to be appeared at NAACL 2024: Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models.
Large Language Model Tagging for Named Entity Recognition with Contextualized Entity Marking
[ACL 2024 Findings] LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
中文信息抽取，包含实体抽取、关系抽取、事件抽取
LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment
Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard
本项目是针对RAG中的Retrieve阶段的召回技术及算法效果所做评估实验。使用主体框架为LlamaIndex.
Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supportin…
欢迎来到 LLM-Dojo，这里是一个开源大模型学习场所(最好的学习永远在项目中)，包括一个开源大模型训练框架，以及llm_tricks模块，其中包括各种大模型的tricks实现与原理讲解！。👩🎓👨🎓
The official implementation of Phased Instruction Fine-Tuning for Large Language Models，ACL 2024 Findings
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models