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2406.14955
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ICLEval: Evaluating In-Context Learning Ability of Large Language Models
21 June 2024
Wentong Chen
Yankai Lin
ZhenHao Zhou
HongYun Huang
Yantao Jia
Zhao Cao
Ji-Rong Wen
ELM
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Papers citing
"ICLEval: Evaluating In-Context Learning Ability of Large Language Models"
9 / 9 papers shown
Title
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
Yanshu Li
44
0
0
05 Mar 2025
MILE: A Mutation Testing Framework of In-Context Learning Systems
Zeming Wei
Yihao Zhang
Meng Sun
35
0
0
07 Sep 2024
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
218
2,232
0
22 Mar 2023
Complexity-Based Prompting for Multi-Step Reasoning
Yao Fu
Hao-Chun Peng
Ashish Sabharwal
Peter Clark
Tushar Khot
ReLM
LRM
162
411
0
03 Oct 2022
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
4,048
0
24 May 2022
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
Meta-learning via Language Model In-context Tuning
Yanda Chen
Ruiqi Zhong
Sheng Zha
George Karypis
He He
218
155
0
15 Oct 2021
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
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
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