KARLA augments LLMs by training them to generate special tokens that query a knowledge base for facts during generation, improving accuracy, traceability, and updatability.
Restor: Knowledge recovery through machine unlearning
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
MSA performs data unlearning in LLMs by arithmetic operations on prior model checkpoints to remove targeted datapoint influence, with experiments showing competitive or better results than existing unlearning methods.
citing papers explorer
-
KARLA: Knowledge-base Augmented Retrieval for Language Models
KARLA augments LLMs by training them to generate special tokens that query a knowledge base for facts during generation, improving accuracy, traceability, and updatability.
-
Revisiting the Past: Data Unlearning with Model State History
MSA performs data unlearning in LLMs by arithmetic operations on prior model checkpoints to remove targeted datapoint influence, with experiments showing competitive or better results than existing unlearning methods.