Papers
680 papers found
Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models
Yifu Qiu, Varun R. Embar, Yizhe Zhang et al.
Exploring the Role of Transliteration in In-Context Learning for Low-resource Languages Written in Non-Latin Scripts
Chunlan Ma, Yihong Liu, Haotian Ye et al.
Induction Heads as an Essential Mechanism for Pattern Matching in In-context Learning
Joy Crosbie, Ekaterina Shutova
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning
Nan Xu, Fei Wang, Sheng Zhang et al.
Improving Input-label Mapping with Demonstration Replay for In-context Learning
Zhuocheng Gong, Jiahao Liu, Qifan Wang et al.
How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?
Yang Luo, Zangwei Zheng, Zirui Zhu et al.
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis
Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang et al.
Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning
Qingyu Yin, Xuzheng He, Chak Tou Leong et al.
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning
Ercong Nie, Bo Shao, Mingyang Wang et al.
MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance
Hallee E. Wong, Jose Javier Gonzalez Ortiz, John Guttag et al.
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning
Xiaolei Wang, Xinyu Tang, Junyi Li et al.
In-Context Editing: Learning Knowledge from Self-Induced Distributions
Siyuan Qi, Bangcheng Yang, Kailin Jiang et al.
Instruct Me More! Random Prompting for Visual In-Context Learning
Jiahao Zhang, Bowen Wang, Liangzhi Li et al.
In-Context Learning of Soft Nearest Neighbor Classifiers for Intelligible Tabular Machine Learning
Mykhailo Koshil, Matthias Feurer, Katharina Eggensperger
ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction
Jiabang He, Lei Wang, Yi Hu et al.
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning
Raja Sekhar Reddy Mekala, Yasaman Razeghi, Sameer Singh
REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments
Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman et al.
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
Stephanie Chan, Adam Santoro, Andrew Lampinen et al.
The Transient Nature of Emergent In-Context Learning in Transformers
Aaditya Singh, Stephanie Chan, Ted Moskovitz et al.
Linking In-context Learning in Transformers to Human Episodic Memory
Li Ji-An, Corey Y Zhou, Marcus K. Benna et al.
Probing the Decision Boundaries of In-context Learning in Large Language Models
Siyan Zhao, Tung Nguyen, Aditya Grover
Iterative Forward Tuning Boosts In-Context Learning in Language Models
Jiaxi Yang, Binyuan Hui, Min Yang et al.
An Empirical Study of In-context Learning in LLMs for Machine Translation
Pranjal Chitale, Jay Gala, Raj Dabre