fate-ubw

self-rag

This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.

CodeGenerateCode

code_generation

fate-ubw

Generation-Block-by-Block

Experiments around a noval idea for semi-autoregressive language model reaalizing generation chunk by chunk

numpy-ml-for-learning

Machine learning, in numpy for konw how

RAGLAB

[EMNLP 2024: Demo Oral] RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation

raglab-exp

exp version of raglab

Self-awareness-of-fine-tune-LLM

This project investigates the formation and forgetting of self-awareness in multiple rounds of fine-tuning

button-stripe-light

fate-ubw/RAGLAB

[EMNLP 2024: Demo Oral] RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation

fate-ubw/CodeGenerateCode

code_generation

fate-ubw/fate-ubw

fate-ubw/Generation-Block-by-Block

Experiments around a noval idea for semi-autoregressive language model reaalizing generation chunk by chunk

fate-ubw/numpy-ml-for-learning

Machine learning, in numpy for konw how

fate-ubw/raglab-exp

exp version of raglab

fate-ubw/Self-awareness-of-fine-tune-LLM

This project investigates the formation and forgetting of self-awareness in multiple rounds of fine-tuning