The official GitHub page for the survey paper "A Survey of Large Language Models".
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
An open-source framework for training large multimodal models.
Must-read Papers on LLM Agents.
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
Papers and Datasets on Instruction Tuning and Following. ✨✨✨
In‑Context World‑Action Modeling from Human Videos for Open‑Ended Task Generalization
[ACL 2024] An Easy-to-use Instruction Processing Framework for LLMs.
Research Trends in LLM-guided Multimodal Learning.
[ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
Open-source tabular foundation model for fast, training-free regression with predictive distributions.
[CVPR 2026] A mask-guided self-supervised learning method for 3D medical image representation learning
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