This is the repository for the Tool Learning survey.

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

A library for advanced large language model reasoning

The official GitHub page for the survey paper "A Survey of Large Language Models".

📓Solutions to Introduction to Algorithms

Robust recipes to align language models with human and AI preferences

An Awesome Collection for LLM Survey

Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models

Tips for Writing a Research Paper using LaTeX

Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"

A curated list of papers related to constrained decoding of LLM, along with their relevant code and resources.

A scheduler for GPU/CPU tasks

🔥Highlighting the top ML papers every week.

Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation @ ACL'2024

High-quality datasets, tools, and concepts for LLM fine-tuning.

✨✨Latest Advances on Multimodal Large Language Models

Official Code for the papers: "Controlled Text Generation as Continuous Optimization with Multiple Constraints" and "Gradient-based Constrained Sampling from LMs"

This repo collects the articles for text attribute transfer

Stanford NLP Python Library for Understanding and Improving PyTorch Models via Interventions

Steer LLM outputs towards a certain topic/subject and enhance response capabilities using activation engineering by adding steering vectors

Code for paper 'Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning'

Code release for the paper "Style Vectors for Steering Generative Large Language Models", accepted to the Findings of the EACL 2024.

This repository collects an extensive list of awesome papers about Story Generation / Storytelling, primarily focusing on the era of Large Language Models (LLMs).

Multimodal Question Answering in the Medical Domain: A summary of Existing Datasets and Systems

Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites

A corpus of Biomedical papers annotated with mentions of UMLS entities.

A library for making RepE control vectors