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Iterative Forward Tuning Boosts In-Context Learning in Language Models

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
ArXivPDFHTML

Papers citing "Iterative Forward Tuning Boosts In-Context Learning in Language Models"

10 / 10 papers shown
Title
Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving
Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving
Xin Xu
Yan Xu
Tianhao Chen
Yuchen Yan
Chengwu Liu
...
Yixuan Wang
Yichun Yin
Y. Wang
Lifeng Shang
Qiang Liu
LRM
75
2
0
17 Feb 2025
Efficient Knowledge Feeding to Language Models: A Novel Integrated Encoder-Decoder Architecture
Efficient Knowledge Feeding to Language Models: A Novel Integrated Encoder-Decoder Architecture
Sachin Kumar
Rishi Gottimukkala
Supriya Devidutta
K. Spindler
RALM
KELM
3DV
52
0
0
07 Feb 2025
Adaptive In-conversation Team Building for Language Model Agents
Adaptive In-conversation Team Building for Language Model Agents
Linxin Song
Jiale Liu
Jieyu Zhang
Shaokun Zhang
Ao Luo
Shijian Wang
Qingyun Wu
Chi Wang
LLMAG
71
10
0
29 May 2024
ICDPO: Effectively Borrowing Alignment Capability of Others via
  In-context Direct Preference Optimization
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization
Feifan Song
Yuxuan Fan
Xin Zhang
Peiyi Wang
Houfeng Wang
32
8
0
14 Feb 2024
One-Shot Learning as Instruction Data Prospector for Large Language
  Models
One-Shot Learning as Instruction Data Prospector for Large Language Models
Yunshui Li
Binyuan Hui
Xiaobo Xia
Jiaxi Yang
Min Yang
...
Ling-Hao Chen
Junhao Liu
Tongliang Liu
Fei Huang
Yongbin Li
38
31
0
16 Dec 2023
Fine-Tuning Language Models with Just Forward Passes
Fine-Tuning Language Models with Just Forward Passes
Sadhika Malladi
Tianyu Gao
Eshaan Nichani
Alexandru Damian
Jason D. Lee
Danqi Chen
Sanjeev Arora
27
177
0
27 May 2023
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
373
8,495
0
28 Jan 2022
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
1,124
0
18 Apr 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient
  Deep Model Training
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
91
188
0
27 Feb 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
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