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Knowledgeable In-Context Tuning: Exploring and Exploiting Factual
  Knowledge for In-Context Learning

Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning

26 September 2023
J. Wang
Chengyu Wang
Chuanqi Tan
Jun Huang
Ming Gao
    KELM
ArXivPDFHTML

Papers citing "Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning"

10 / 10 papers shown
Title
Leveraging Large Language Models for Automated Definition Extraction with TaxoMatic A Case Study on Media Bias
Leveraging Large Language Models for Automated Definition Extraction with TaxoMatic A Case Study on Media Bias
Timo Spinde
Luyang Lin
Smi Hinterreiter
Isao Echizen
48
0
0
01 Apr 2025
"What's important here?": Opportunities and Challenges of Using LLMs in
  Retrieving Information from Web Interfaces
"What's important here?": Opportunities and Challenges of Using LLMs in Retrieving Information from Web Interfaces
Faria Huq
Jeffrey P. Bigham
Nikolas Martelaro
25
7
0
11 Dec 2023
From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with
  Small Language Models
From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models
Junbing Yan
Chengyu Wang
Taolin Zhang
Xiaofeng He
Jun Huang
Wei Zhang
ReLM
LRM
24
9
0
12 Nov 2023
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language
  Models
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
Xiaoman Pan
Wenlin Yao
Hongming Zhang
Dian Yu
Dong Yu
Jianshu Chen
KELM
193
22
0
28 Oct 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
314
3,248
0
21 Mar 2022
Meta-learning via Language Model In-context Tuning
Meta-learning via Language Model In-context Tuning
Yanda Chen
Ruiqi Zhong
Sheng Zha
George Karypis
He He
234
156
0
15 Oct 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
279
1,121
0
18 Apr 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
275
1,312
0
17 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
241
1,919
0
31 Dec 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
231
778
0
17 Sep 2019
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