Akari Asai

Akari Asai is a researcher at IBM Research AI and was previously at the University of Washington. They work on retrieval-augmented generation, language model factuality, and knowledge-intensive NLP tasks.

Sources in this wiki

• Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection — SELF-RAG framework for adaptive retrieval and self-reflection in LLMs

Topics

• Retrieval-Augmented Generation, Factuality in large language models, Language Models