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. 2310.03331
  4. Cited By
Fine-tune Language Models to Approximate Unbiased In-context Learning

Fine-tune Language Models to Approximate Unbiased In-context Learning

5 October 2023
Timothy Chu
Zhao-quan Song
Chiwun Yang
ArXivPDFHTML

Papers citing "Fine-tune Language Models to Approximate Unbiased In-context Learning"

13 / 13 papers shown
Title
Mitigating Copy Bias in In-Context Learning through Neuron Pruning
Mitigating Copy Bias in In-Context Learning through Neuron Pruning
Ameen Ali
Lior Wolf
Ivan Titov
24
2
0
02 Oct 2024
Large Scale Foundation Models for Intelligent Manufacturing
  Applications: A Survey
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey
Haotian Zhang
S. D. Semujju
Zhicheng Wang
Xianwei Lv
Kang Xu
...
Jing Wu
Zhuo Long
Wensheng Liang
Xiaoguang Ma
Ruiyan Zhuang
UQCV
AI4TS
AI4CE
25
4
0
11 Dec 2023
How to Protect Copyright Data in Optimization of Large Language Models?
How to Protect Copyright Data in Optimization of Large Language Models?
T. Chu
Zhao-quan Song
Chiwun Yang
28
29
0
23 Aug 2023
How Language Model Hallucinations Can Snowball
How Language Model Hallucinations Can Snowball
Muru Zhang
Ofir Press
William Merrill
Alisa Liu
Noah A. Smith
HILM
LRM
78
246
0
22 May 2023
Towards Making the Most of ChatGPT for Machine Translation
Towards Making the Most of ChatGPT for Machine Translation
Keqin Peng
Liang Ding
Qihuang Zhong
Li Shen
Xuebo Liu
Min Zhang
Y. Ouyang
Dacheng Tao
LRM
81
132
0
24 Mar 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
203
2,232
0
22 Mar 2023
The Learnability of In-Context Learning
The Learnability of In-Context Learning
Noam Wies
Yoav Levine
Amnon Shashua
108
89
0
14 Mar 2023
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
297
3,163
0
21 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
315
8,261
0
28 Jan 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
Tu Vu
Brian Lester
Noah Constant
Rami Al-Rfou
Daniel Matthew Cer
VLM
LRM
134
276
0
15 Oct 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
236
780
0
14 Oct 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
278
3,784
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
1,296
0
17 Jan 2021
1