← Flash Papers
Scaling Instruction-Finetuned Language Models — Flan-PaLM & Flan-T5
Share
Share this Flash Paper
Scaling Instruction-Finetuned Language Models — Flan-PaLM & Flan-T5
https://flashpapers.ai/p/96vnvnr6ee
Copy link
Post to X
Post to Bluesky
Share on LinkedIn
Submit to Hacker News
Submit to Reddit
Email a link
Source PDF ↗
Open standalone ↗
Make your own
Make your own paper
Hyung Won Chung, Le Hou +33 more
cs.LG
2022
arXiv:2210.11416
Code
· 3.0k★
· updated 2mo ago
Details ▸
Details ▴
MMLU (5-shot CoT + SC):
75.2%
· MMLU
MMLU (5-shot Direct):
72.2%
· MMLU
MMLU (Direct):
52.4%
· MMLU
TyDiQA (1-shot EM):
+14.9%
· TyDiQA
MMLU (5-shot CoT + SC):
75.2%
· MMLU
MMLU (5-shot Direct):
72.2%
· MMLU
MMLU (Direct):
52.4%
· MMLU
TyDiQA (1-shot EM):
+14.9%
· TyDiQA
Concepts:
Scaling Laws