LLMs - Tag - Naifan Li's Blog

LLMs

2022

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models 05-21

Self-Consistency Improves Chain of Thought Reasoning in Language Models 03-21

InstructGPT: Training language models to follow instructions with human feedback 03-04

InstructGPT 03-04

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models 01-28

2021

FLAN: Finetuned Language Models Are Zero-Shot Learners 09-03

Summary: Sequence Packing 07-29

2020

GPT-3: Language Models are Few-Shot Learners 05-28

2019

T5: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer 10-23

GPT-2: Language Models are Unsupervised Multitask Learners 02-14

BBPE: Byte-level Byte Pair Encoding 02-14

2018

GPT-1: Improving Language Understanding by Generative Pre-Training 06-11

2017

Transformer: Attention Is All You Need 06-12

Taxonomy of Natural Language Processing Tasks 06-12

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