Stars
📖 This is a repository for organizing papers, codes and other resources related to Visual Reinforcement Learning.
Iterative Subspace Rectification (ISR): A new mechanism to augment a word vector embedding representation that offers improved bias removal while retaining the key information. It can also be exten…
This is the official implementation of the paper "S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"
[ICLR 2025 & COLM 2025] Official PyTorch implementation of the Forgetting Transformer and Adaptive Computation Pruning
Official PyTorch implementation for "Large Language Diffusion Models"
ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning
This is the implementation of Cross-attention inspired Mamba.
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
A modular graph-based Retrieval-Augmented Generation (RAG) system
Official Pytorch Implementation of "The Curse of Depth in Large Language Models" by Wenfang Sun, Xinyuan Song, Pengxiang Li, Lu Yin,Yefeng Zheng, Shiwei Liu
Sky-T1: Train your own O1 preview model within $450
This is the repo of developing reasoning models in the specific domain of financial, aim to enhance models capabilities in handling financial reasoning tasks.
[NeurIPS 2024] Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
🔥Highlighting the top ML papers every week.
A collection of awesome mathematics and computer science courses
An AI to compete live in Ghana’s National Science and Maths Quiz competition
🏅 Collection of Kaggle Solutions and Ideas 🏅
A comprehensive reference for all topics related to Natural Language Processing
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)
AIHawk aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in a tailored way.
Do Vision and Language Models Share Concepts? A Vector Space Alignment Study
PyTorch implementation of quantization-aware matrix factorization (QMF) for data compression
Repo accompanying our paper "Do Llamas Work in English? On the Latent Language of Multilingual Transformers".