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Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge
  Bases

Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases

17 June 2021
Boxi Cao
Hongyu Lin
Xianpei Han
Le Sun
Lingyong Yan
M. Liao
Tong Xue
Jin Xu
ArXivPDFHTML

Papers citing "Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases"

30 / 30 papers shown
Title
Information Retrieval in the Age of Generative AI: The RGB Model
Information Retrieval in the Age of Generative AI: The RGB Model
M. Garetto
Alessandro Cornacchia
Franco Galante
Emilio Leonardi
A. Nordio
A. Tarable
134
0
0
29 Apr 2025
FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models
FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models
Hongzhan Lin
Yang Deng
Yuxuan Gu
Wenxuan Zhang
Jing Ma
See-Kiong Ng
Tat-Seng Chua
LLMAG
KELM
HILM
68
0
0
25 Feb 2025
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning
Ercong Nie
Bo Shao
Zifeng Ding
Mingyang Wang
Helmut Schmid
Hinrich Schütze
KELM
129
7
0
21 Feb 2025
WisdomBot: Tuning Large Language Models with Artificial Intelligence Knowledge
WisdomBot: Tuning Large Language Models with Artificial Intelligence Knowledge
Jingyuan Chen
Tao Wu
Wei Ji
Fei Wu
41
0
0
22 Jan 2025
Fact Recall, Heuristics or Pure Guesswork? Precise Interpretations of Language Models for Fact Completion
Fact Recall, Heuristics or Pure Guesswork? Precise Interpretations of Language Models for Fact Completion
Denitsa Saynova
Lovisa Hagström
Moa Johansson
Richard Johansson
Marco Kuhlmann
HILM
43
0
0
18 Oct 2024
MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
Shengkang Wang
Hongzhan Lin
Ziyang Luo
Zhen Ye
Guang Chen
Jing Ma
68
3
0
17 Jun 2024
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias
  in Factual Knowledge Extraction
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction
Ziyang Xu
Keqin Peng
Liang Ding
Dacheng Tao
Xiliang Lu
34
10
0
15 Mar 2024
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection
  Method
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method
Yukun Zhao
Lingyong Yan
Weiwei Sun
Guoliang Xing
Chong Meng
Shuaiqiang Wang
Zhicong Cheng
Zhaochun Ren
Dawei Yin
27
35
0
27 Oct 2023
PMET: Precise Model Editing in a Transformer
PMET: Precise Model Editing in a Transformer
Xiaopeng Li
Shasha Li
Shezheng Song
Jing Yang
Jun Ma
Jie Yu
KELM
31
115
0
17 Aug 2023
Understanding Finetuning for Factual Knowledge Extraction from Language
  Models
Understanding Finetuning for Factual Knowledge Extraction from Language Models
Mehran Kazemi
Sid Mittal
Deepak Ramachandran
KELM
34
10
0
26 Jan 2023
Context Variance Evaluation of Pretrained Language Models for
  Prompt-based Biomedical Knowledge Probing
Context Variance Evaluation of Pretrained Language Models for Prompt-based Biomedical Knowledge Probing
Zonghai Yao
Yi Cao
Zhichao Yang
Hong-ye Yu
14
17
0
18 Nov 2022
SPE: Symmetrical Prompt Enhancement for Fact Probing
SPE: Symmetrical Prompt Enhancement for Fact Probing
Yiyuan Li
Tong Che
Yezhen Wang
Zhengbao Jiang
Caiming Xiong
Snigdha Chaturvedi
26
6
0
14 Nov 2022
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class
  Classification
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification
Heng Chang
Canran Xu
Guodong Long
Tao Shen
Chongyang Tao
Jing Jiang
38
1
0
11 Nov 2022
COPEN: Probing Conceptual Knowledge in Pre-trained Language Models
COPEN: Probing Conceptual Knowledge in Pre-trained Language Models
Hao Peng
Xiaozhi Wang
Shengding Hu
Hailong Jin
Lei Hou
Juanzi Li
Zhiyuan Liu
Qun Liu
18
22
0
08 Nov 2022
Pre-training Language Models with Deterministic Factual Knowledge
Pre-training Language Models with Deterministic Factual Knowledge
Shaobo Li
Xiaoguang Li
Lifeng Shang
Chengjie Sun
Bingquan Liu
Zhenzhou Ji
Xin Jiang
Qun Liu
KELM
44
11
0
20 Oct 2022
Self-Adaptive Named Entity Recognition by Retrieving Unstructured
  Knowledge
Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge
Kosuke Nishida
Naoki Yoshinaga
Kyosuke Nishida
27
2
0
14 Oct 2022
Transparency Helps Reveal When Language Models Learn Meaning
Transparency Helps Reveal When Language Models Learn Meaning
Zhaofeng Wu
William Merrill
Hao Peng
Iz Beltagy
Noah A. Smith
19
9
0
14 Oct 2022
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
238
82
0
07 Oct 2022
How Pre-trained Language Models Capture Factual Knowledge? A
  Causal-Inspired Analysis
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis
Shaobo Li
Xiaoguang Li
Lifeng Shang
Zhenhua Dong
Chengjie Sun
Bingquan Liu
Zhenzhou Ji
Xin Jiang
Qun Liu
KELM
26
53
0
31 Mar 2022
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail
  Entities
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities
Baoxin Wang
Qingye Meng
Ziyue Wang
Honghong Zhao
Dayong Wu
Wanxiang Che
Shijin Wang
Zhigang Chen
Cong Liu
33
11
0
10 Feb 2022
What Has Been Enhanced in my Knowledge-Enhanced Language Model?
What Has Been Enhanced in my Knowledge-Enhanced Language Model?
Yifan Hou
Guoji Fu
Mrinmaya Sachan
KELM
33
1
0
02 Feb 2022
Coherence boosting: When your pretrained language model is not paying
  enough attention
Coherence boosting: When your pretrained language model is not paying enough attention
Nikolay Malkin
Zhen Wang
Nebojsa Jojic
RALM
21
35
0
15 Oct 2021
Mention Memory: incorporating textual knowledge into Transformers
  through entity mention attention
Mention Memory: incorporating textual knowledge into Transformers through entity mention attention
Michiel de Jong
Yury Zemlyanskiy
Nicholas FitzGerald
Fei Sha
William W. Cohen
RALM
27
46
0
12 Oct 2021
Language Models as a Knowledge Source for Cognitive Agents
Language Models as a Knowledge Source for Cognitive Agents
R. Wray
James R. Kirk
John E. Laird
19
15
0
17 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
117
105
0
15 Sep 2021
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Albert Webson
Ellie Pavlick
LRM
35
352
0
02 Sep 2021
Relational World Knowledge Representation in Contextual Language Models:
  A Review
Relational World Knowledge Representation in Contextual Language Models: A Review
Tara Safavi
Danai Koutra
KELM
35
51
0
12 Apr 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
241
1,919
0
31 Dec 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
258
1,588
0
21 Jan 2020
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
415
2,586
0
03 Sep 2019
1