Stars
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Retrieval-Augmented Generation in 3 Lines of Code!
Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
Use PEFT or Full-parameter to finetune 300+ LLMs or 60+ MLLMs. (Qwen2, GLM4v, Internlm2.5, Yi, Llama3.1, Llava-Video, Internvl2, MiniCPM-V-2.6, Deepseek, Baichuan2, Gemma2, Phi3-Vision, ...)
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, B…
Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
✨✨Latest Papers and Benchmarks in Reasoning with Foundation Models
This is a tutorial to connect the fundamental mathematics to a practical implementation addressing the continual learning problem of artificial intelligence
Data and code of the paper Toward Unified Controllable Text Generation via Regular Expression Instruction
The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>
Repository for ACL 2022 paper Mix and Match: Learning-free Controllable Text Generation using Energy Language Models
Code for Paper: “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors
GeDi: Generative Discriminator Guided Sequence Generation
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)
Samples for users of the Yelp Academic Dataset
Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning
An awesome paper list of Semi-Supervised Learning under realistic settings.
Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)
The official GitHub page for the survey paper "A Survey of Large Language Models".
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
The code implementation of the EMNLP2022 paper: DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Generation
Official Code for the papers: "Controlled Text Generation as Continuous Optimization with Multiple Constraints" and "Gradient-based Constrained Sampling from LMs"
Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.