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Word Definitions from Large Language Models
v1v2v3 (latest)

Word Definitions from Large Language Models

10 November 2023
Yunting Yin
Steven Skiena
Samuel Kim
Yunting Yin
Steven Skiena
    AILaw
ArXiv (abs)PDFHTML

Papers citing "Word Definitions from Large Language Models"

18 / 18 papers shown
Title
MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of
  Thought Prompting
MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting
Tatsuro Inaba
Hirokazu Kiyomaru
Fei Cheng
Sadao Kurohashi
KELMLRM
98
23
0
26 May 2023
PEARL: Prompting Large Language Models to Plan and Execute Actions Over
  Long Documents
PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents
Simeng Sun
Yongxu Liu
Shuohang Wang
Chenguang Zhu
Mohit Iyyer
RALMLRMReLM
75
54
0
23 May 2023
Hierarchical Prompting Assists Large Language Model on Web Navigation
Hierarchical Prompting Assists Large Language Model on Web Navigation
Abishek Sridhar
Robert Lo
Frank F. Xu
Hao Zhu
Shuyan Zhou
LRM
81
35
0
23 May 2023
Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning
  and Coding with LLMs
Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs
Pranjal Aggarwal
Aman Madaan
Yiming Yang
Mausam
LRM
88
45
0
19 May 2023
Can ChatGPT Assess Human Personalities? A General Evaluation Framework
Can ChatGPT Assess Human Personalities? A General Evaluation Framework
Haocong Rao
Cyril Leung
Chunyan Miao
LLMAGLM&MA
66
81
0
01 Mar 2023
Large Language Models Are State-of-the-Art Evaluators of Translation
  Quality
Large Language Models Are State-of-the-Art Evaluators of Translation Quality
Tom Kocmi
C. Federmann
ELM
95
363
0
28 Feb 2023
Will ChatGPT get you caught? Rethinking of Plagiarism Detection
Will ChatGPT get you caught? Rethinking of Plagiarism Detection
M. Khalil
Erkan Er
DeLMO
65
254
0
08 Feb 2023
Paraphrase Identification with Deep Learning: A Review of Datasets and
  Methods
Paraphrase Identification with Deep Learning: A Review of Datasets and Methods
Chao Zhou
Cheng Qiu
Daniel Ernesto Acuna
100
26
0
13 Dec 2022
A Taxonomy of Prompt Modifiers for Text-To-Image Generation
A Taxonomy of Prompt Modifiers for Text-To-Image Generation
J. Oppenlaender
87
106
0
20 Apr 2022
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods
  in Natural Language Processing
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu
Weizhe Yuan
Jinlan Fu
Zhengbao Jiang
Hiroaki Hayashi
Graham Neubig
VLMSyDa
239
4,004
0
28 Jul 2021
Language Models are Few-Shot Learners
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
889
42,463
0
28 May 2020
Analyzing Temporal Relationships between Trending Terms on Twitter and
  Urban Dictionary Activity
Analyzing Temporal Relationships between Trending Terms on Twitter and Urban Dictionary Activity
Steven R. Wilson
Walid Magdy
Barbara McGillivray
Gareth Tyson
27
8
0
15 May 2020
MPNet: Masked and Permuted Pre-training for Language Understanding
MPNet: Masked and Permuted Pre-training for Language Understanding
Kaitao Song
Xu Tan
Tao Qin
Jianfeng Lu
Tie-Yan Liu
109
1,138
0
20 Apr 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
1.3K
12,316
0
27 Aug 2019
Dynamic Routing Between Capsules
Dynamic Routing Between Capsules
S. Sabour
Nicholas Frosst
Geoffrey E. Hinton
190
4,606
0
26 Oct 2017
Definition Modeling: Learning to define word embeddings in natural
  language
Definition Modeling: Learning to define word embeddings in natural language
Thanapon Noraset
Chen Liang
Larry Birnbaum
Doug Downey
59
125
0
01 Dec 2016
Enriching Word Vectors with Subword Information
Enriching Word Vectors with Subword Information
Piotr Bojanowski
Edouard Grave
Armand Joulin
Tomas Mikolov
NAISSLVLM
232
9,986
0
15 Jul 2016
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
693
31,553
0
16 Jan 2013
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