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IDEAL: Influence-Driven Selective Annotations Empower In-Context
  Learners in Large Language Models

IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models

16 October 2023
Shaokun Zhang
Xiaobo Xia
Zhaoqing Wang
Ling-Hao Chen
Jiale Liu
Qingyun Wu
Tongliang Liu
ArXivPDFHTML

Papers citing "IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models"

12 / 12 papers shown
Title
LaVin-DiT: Large Vision Diffusion Transformer
Zhaoqing Wang
Xiaobo Xia
Runnan Chen
Dongdong Yu
Changhu Wang
M. Gong
Tongliang Liu
92
6
0
18 Nov 2024
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
Jiale Fu
Yaqing Wang
Simeng Han
Jiaming Fan
Chen Si
21
1
0
03 Oct 2024
Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling
Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling
David Grangier
Simin Fan
Skyler Seto
Pierre Ablin
25
3
0
30 Sep 2024
DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception
DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception
Run Luo
Yunshui Li
Longze Chen
Wanwei He
Ting-En Lin
...
Zikai Song
Xiaobo Xia
Tongliang Liu
Min Yang
Binyuan Hui
VLM
DiffM
54
14
0
24 May 2024
Don't Make Your LLM an Evaluation Benchmark Cheater
Don't Make Your LLM an Evaluation Benchmark Cheater
Kun Zhou
Yutao Zhu
Zhipeng Chen
Wentong Chen
Wayne Xin Zhao
Xu Chen
Yankai Lin
Ji-Rong Wen
Jiawei Han
ELM
99
136
0
03 Nov 2023
Loss-Curvature Matching for Dataset Selection and Condensation
Loss-Curvature Matching for Dataset Selection and Condensation
Seung-Jae Shin
Heesun Bae
DongHyeok Shin
Weonyoung Joo
Il-Chul Moon
DD
38
24
0
08 Mar 2023
Dataset Pruning: Reducing Training Data by Examining Generalization
  Influence
Dataset Pruning: Reducing Training Data by Examining Generalization Influence
Shuo Yang
Zeke Xie
Hanyu Peng
Minjing Xu
Mingming Sun
P. Li
DD
132
106
0
19 May 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
Meta-learning via Language Model In-context Tuning
Meta-learning via Language Model In-context Tuning
Yanda Chen
Ruiqi Zhong
Sheng Zha
George Karypis
He He
210
155
0
15 Oct 2021
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
274
882
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
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
238
1,898
0
31 Dec 2020
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