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Semantic are Beacons: A Semantic Perspective for Unveiling
  Parameter-Efficient Fine-Tuning in Knowledge Learning

Semantic are Beacons: A Semantic Perspective for Unveiling Parameter-Efficient Fine-Tuning in Knowledge Learning

28 May 2024
Renzhi Wang
Piji Li
ArXivPDFHTML

Papers citing "Semantic are Beacons: A Semantic Perspective for Unveiling Parameter-Efficient Fine-Tuning in Knowledge Learning"

4 / 4 papers shown
Title
Can Editing LLMs Inject Harm?
Can Editing LLMs Inject Harm?
Canyu Chen
Baixiang Huang
Zekun Li
Zhaorun Chen
Shiyang Lai
...
Xifeng Yan
William Wang
Philip H. S. Torr
Dawn Song
Kai Shu
KELM
38
11
0
29 Jul 2024
MEMoE: Enhancing Model Editing with Mixture of Experts Adaptors
MEMoE: Enhancing Model Editing with Mixture of Experts Adaptors
Renzhi Wang
Piji Li
KELM
32
3
0
29 May 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
228
81
0
07 Oct 2022
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
278
3,784
0
18 Apr 2021
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