ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2303.07616
  4. Cited By
The Life Cycle of Knowledge in Big Language Models: A Survey

The Life Cycle of Knowledge in Big Language Models: A Survey

14 March 2023
Boxi Cao
Hongyu Lin
Xianpei Han
Le Sun
    KELM
ArXivPDFHTML

Papers citing "The Life Cycle of Knowledge in Big Language Models: A Survey"

27 / 27 papers shown
Title
On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards
On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards
Zhimin Zhao
A. A. Bangash
F. Côgo
Bram Adams
Ahmed E. Hassan
30
0
0
04 Jul 2024
Calibrating Factual Knowledge in Pretrained Language Models
Calibrating Factual Knowledge in Pretrained Language Models
Qingxiu Dong
Damai Dai
Yifan Song
Jingjing Xu
Zhifang Sui
Lei Li
KELM
208
57
0
07 Oct 2022
Honest Students from Untrusted Teachers: Learning an Interpretable
  Question-Answering Pipeline from a Pretrained Language Model
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model
Jacob Eisenstein
D. Andor
Bernd Bohnet
Michael Collins
David M. Mimno
LRM
171
24
0
05 Oct 2022
ThinkSum: Probabilistic reasoning over sets using large language models
ThinkSum: Probabilistic reasoning over sets using large language models
Batu Mehmet Ozturkler
Nikolay Malkin
Zhen Wang
Nebojsa Jojic
ReLM
LRM
22
11
0
04 Oct 2022
Can Large Language Models Truly Understand Prompts? A Case Study with
  Negated Prompts
Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts
Joel Jang
Seonghyeon Ye
Minjoon Seo
ELM
LRM
69
56
0
26 Sep 2022
Generate rather than Retrieve: Large Language Models are Strong Context
  Generators
Generate rather than Retrieve: Large Language Models are Strong Context Generators
W. Yu
Dan Iter
Shuohang Wang
Yichong Xu
Mingxuan Ju
Soumya Sanyal
Chenguang Zhu
Michael Zeng
Meng-Long Jiang
RALM
AIMat
205
318
0
21 Sep 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
8,441
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
313
8,261
0
28 Jan 2022
Fast Model Editing at Scale
Fast Model Editing at Scale
E. Mitchell
Charles Lin
Antoine Bosselut
Chelsea Finn
Christopher D. Manning
KELM
217
254
0
21 Oct 2021
Good Examples Make A Faster Learner: Simple Demonstration-based Learning
  for Low-resource NER
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER
Dong-Ho Lee
Akshen Kadakia
Kangmin Tan
Mahak Agarwal
Xinyu Feng
Takashi Shibuya
Ryosuke Mitani
Toshiyuki Sekiya
Jay Pujara
Xiang Ren
22
84
0
16 Oct 2021
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,651
0
15 Oct 2021
Paradigm Shift in Natural Language Processing
Paradigm Shift in Natural Language Processing
Tianxiang Sun
Xiangyang Liu
Xipeng Qiu
Xuanjing Huang
104
71
0
26 Sep 2021
Can Language Models be Biomedical Knowledge Bases?
Can Language Models be Biomedical Knowledge Bases?
Mujeen Sung
Jinhyuk Lee
Sean S. Yi
Minji Jeon
Sungdong Kim
Jaewoo Kang
AI4MH
100
105
0
15 Sep 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
268
882
0
18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
272
3,784
0
18 Apr 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based
  Bias in NLP
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
Timo Schick
Sahana Udupa
Hinrich Schütze
248
374
0
28 Feb 2021
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
216
291
0
24 Feb 2021
Measuring and Improving Consistency in Pretrained Language Models
Measuring and Improving Consistency in Pretrained Language Models
Yanai Elazar
Nora Kassner
Shauli Ravfogel
Abhilasha Ravichander
Eduard H. Hovy
Hinrich Schütze
Yoav Goldberg
HILM
246
273
0
01 Feb 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
272
1,296
0
17 Jan 2021
WARP: Word-level Adversarial ReProgramming
WARP: Word-level Adversarial ReProgramming
Karen Hambardzumyan
Hrant Khachatrian
Jonathan May
AAML
240
340
0
01 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
235
1,898
0
31 Dec 2020
ERICA: Improving Entity and Relation Understanding for Pre-trained
  Language Models via Contrastive Learning
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning
Yujia Qin
Yankai Lin
Ryuichi Takanobu
Zhiyuan Liu
Peng Li
Heng Ji
Minlie Huang
Maosong Sun
Jie Zhou
38
125
0
30 Dec 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
224
1,281
0
18 Mar 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
245
1,382
0
21 Jan 2020
K-BERT: Enabling Language Representation with Knowledge Graph
K-BERT: Enabling Language Representation with Knowledge Graph
Weijie Liu
Peng Zhou
Zhe Zhao
Zhiruo Wang
Qi Ju
Haotang Deng
Ping Wang
210
773
0
17 Sep 2019
Knowledge Enhanced Contextual Word Representations
Knowledge Enhanced Contextual Word Representations
Matthew E. Peters
Mark Neumann
IV RobertL.Logan
Roy Schwartz
Vidur Joshi
Sameer Singh
Noah A. Smith
210
651
0
09 Sep 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
386
2,216
0
03 Sep 2019
1