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Iterative Forward Tuning Boosts In-Context Learning in Language Models
22 May 2023
Jiaxi Yang
Binyuan Hui
Min Yang
Bailin Wang
Bowen Li
Binhua Li
Fei Huang
Yongbin Li
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Papers citing
"Iterative Forward Tuning Boosts In-Context Learning in Language Models"
5 / 5 papers shown
Title
Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving
Xin Xu
Yan Xu
Tianhao Chen
Yuchen Yan
Chengwu Liu
...
Y. Wang
Yichun Yin
Y. Wang
Lifeng Shang
Q. Liu
LRM
63
2
0
17 Feb 2025
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
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
274
1,114
0
18 Apr 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
Krishnateja Killamsetty
D. Sivasubramanian
Ganesh Ramakrishnan
A. De
Rishabh K. Iyer
OOD
78
184
0
27 Feb 2021
What Makes Good In-Context Examples for GPT-
3
3
3
?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,296
0
17 Jan 2021
1