HKU NLP Group

A framework for human-readable prompt-based method with large language models. Specially designed for researchers. (Deprecated, check out LangChain for better usage!)

HKUNLP

Reparameterized Discrete Diffusion Models for Text Generation

HKUNLP

[EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling

HKUNLP

[ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.

HKUNLP

[EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.

HKUNLP

Code for the paper "Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models"

HKUNLP

Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"

HKUNLP

Retrieved Sequence Augmentation for Protein Representation Learning

HKUNLP

Code for the paper "Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving"

HKUNLP

[EMNLP'23] Code for Generating Data for Symbolic Language with Large Language Models

HKUNLP