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Label Words are Anchors: An Information Flow Perspective for
  Understanding In-Context Learning
v1v2v3v4 (latest)

Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
23 May 2023
Lean Wang
Lei Li
Damai Dai
Deli Chen
Hao Zhou
Fandong Meng
Jie Zhou
Xu Sun
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning"

3 / 103 papers shown
Concise and Organized Perception Facilitates Reasoning in Large Language Models
Concise and Organized Perception Facilitates Reasoning in Large Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Junjie Liu
Shaotian Yan
Chen Shen
Zhengdong Xiao
Wenxiao Wang
Jieping Ye
Jieping Ye
LRM
337
1
0
05 Oct 2023
Iterative Forward Tuning Boosts In-Context Learning in Language Models
Iterative Forward Tuning Boosts In-Context Learning in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Jiaxi Yang
Binyuan Hui
Min Yang
Bailin Wang
Bowen Li
Binhua Li
Fei Huang
Yongbin Li
272
19
0
22 May 2023
A Survey on In-context Learning
A Survey on In-context LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Qingxiu Dong
Lei Li
Damai Dai
Ce Zheng
Jingyuan Ma
...
Zhiyong Wu
Baobao Chang
Xu Sun
Lei Li
Zhifang Sui
ReLMAIMat
534
876
0
31 Dec 2022
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