Papers
95 papers found
What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
Jane Pan, Tianyu Gao, Howard Chen et al.
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection
Yu Bai, Fan Chen, Huan Wang et al.
Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering
Zhiyong Wu, Yaoxiang Wang, Jiacheng Ye et al.
What learning algorithm is in-context learning? Investigations with linear models
Ekin Akyürek, Dale Schuurmans, Jacob Andreas et al.
Learning In-context Learning for Named Entity Recognition
Jiawei Chen, Yaojie Lu, Hongyu Lin et al.
Active Learning Principles for In-Context Learning with Large Language Models
Katerina Margatina, Timo Schick, Nikolaos Aletras et al.
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale
Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal et al.
Schema-learning and rebinding as mechanisms of in-context learning and emergence
Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju et al.
2INER: Instructive and In-Context Learning on Few-Shot Named Entity Recognition
Jiasheng Zhang, Xikai Liu, Xinyi Lai et al.
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
ya sheng sun, Yifan Yang, Houwen Peng et al.
Large-scale Lifelong Learning of In-context Instructions and How to Tackle It
Jisoo Mok, Jaeyoung Do, Sungjin Lee et al.
Guideline Learning for In-Context Information Extraction
Chaoxu Pang, Yixuan Cao, Qiang Ding et al.
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations
Chenglei Si, Dan Friedman, Nitish Joshi et al.
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
Lean Wang, Lei Li, Damai Dai et al.
The Transient Nature of Emergent In-Context Learning in Transformers
Aaditya Singh, Stephanie Chan, Ted Moskovitz et al.
Resources and Few-shot Learners for In-context Learning in Slavic Languages
Michal Štefánik, Marek Kadlčík, Piotr Gramacki et al.
Symbol tuning improves in-context learning in language models
Jerry Wei, Le Hou, Andrew Lampinen et al.
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning
Ruixiang Tang, Dehan Kong, Longtao Huang et al.
On the Relation between Sensitivity and Accuracy in In-Context Learning
Yanda Chen, Chen Zhao, Zhou Yu et al.
Transformers as Algorithms: Generalization and Stability in In-context Learning
Yingcong Li, Muhammed Emrullah Ildiz, Dimitris Papailiopoulos et al.
Dissecting In-Context Learning of Translations in GPT-3
Vikas Raunak, Arul Menezes, Hany Awadalla
Improving Input-label Mapping with Demonstration Replay for In-context Learning
Zhuocheng Gong, Jiahao Liu, Qifan Wang et al.
ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction
Jiabang He, Lei Wang, Yi Hu et al.
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning
Qinyuan Ye, Iz Beltagy, Matthew Peters et al.