Odor Descriptor Understanding through Prompting

7 May 2022

Papers citing "Odor Descriptor Understanding through Prompting"

10 / 10 papers shown

Title
LaMDA: Language Models for Dialog Applications R. Thoppilan Daniel De Freitas Jamie Hall Noam M. Shazeer Apoorv Kulshreshtha ... Blaise Aguera-Arcas Claire Cui M. Croak Ed H. Chi Quoc Le ALM 137 1,595 0 20 Jan 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 573 4,047 0 18 Apr 2021
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts Guanghui Qin J. Eisner 61 546 0 14 Apr 2021
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners Timo Schick Hinrich Schütze 124 973 0 15 Sep 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 795 42,055 0 28 May 2020
How Can We Know What Language Models Know? Zhengbao Jiang Frank F. Xu Jun Araki Graham Neubig KELM 132 1,405 0 28 Nov 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 94,891 0 11 Oct 2018
A Continuously Growing Dataset of Sentential Paraphrases Wuwei Lan Siyu Qiu Hua He Wei Xu LRM 74 168 0 01 Aug 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 701 131,652 0 12 Jun 2017
Enriching Word Vectors with Subword Information Piotr Bojanowski Edouard Grave Armand Joulin Tomas Mikolov NAI SSL VLM 229 9,972 0 15 Jul 2016