Posts with the tag gpt-3

Learning Interpretable Embeddings via LLMs

Machine Learning · November 11, 2023

Our paper at EMNLP 2023, “Learning Interpretable Style Embeddings via Prompting LLMs” used GPT-3 to generate a synthetic dataset used for training interpretable text style embeddings, where each dimension of the embedding vector has a meaningful interpretation to a human.

ICLR 2023: Is GPT the Wrong Architecture?

Machine Learning · December 21, 2022

Our paper at ICLR 2023, “Bidirectional Language Models Are Also Few-shot Learners” surprisingly discovers that older models like T5, that predate GPT-3, were promptable and could perform in-context learning.

Language Comprehension is NP‑Complete

Machine Learning · October 10, 2020

Making sense of language is an NP-complete problem, which seems like something you might intuitively guess, but you can prove this by reducing the well known NP-complete problem of graph $k$-coloring to the anaphora agreement problem in linguistics.

Ajay Patel

Posts with the tag gpt-3