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Knowledgeable In-Context Tuning: Exploring and Exploiting Factual
  Knowledge for In-Context Learning
v1v2 (latest)

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

26 September 2023
Jiadong Wang
Chengyu Wang
Chuanqi Tan
Jun Huang
Ming Gao
    KELM
ArXiv (abs)PDFHTML

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

5 / 5 papers shown
Title
Beyond Hidden-Layer Manipulation: Semantically-Aware Logit Interventions for Debiasing LLMs
Beyond Hidden-Layer Manipulation: Semantically-Aware Logit Interventions for Debiasing LLMs
Wei Xia
85
0
0
25 Oct 2025
From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs
From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs
Xuan Gong
Hanbo Huang
Shiyu Liang
177
0
0
29 May 2025
AI-Driven Climate Policy Scenario Generation for Sub-Saharan Africa
AI-Driven Climate Policy Scenario Generation for Sub-Saharan Africa
Rafiu Adekoya Badekale
Adewale Akinfaderin
165
0
0
24 May 2025
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 BiasInternational Conference on Web and Social Media (ICWSM), 2025
Timo Spinde
Luyang Lin
Smi Hinterreiter
Isao Echizen
189
1
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
173
8
0
11 Dec 2023
1