Papers
680 papers found
Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing
Changyue Wang, Weihang Su, Qingyao Ai et al.
2INER: Instructive and In-Context Learning on Few-Shot Named Entity Recognition
Jiasheng Zhang, Xikai Liu, Xinyi Lai et al.
Distilling Many-Shot In-Context Learning into a Cheat Sheet
Ukyo Honda, Soichiro Murakami, Peinan Zhang
What learning algorithm is in-context learning? Investigations with linear models
Ekin Akyürek, Dale Schuurmans, Jacob Andreas et al.
Instant Policy: In-Context Imitation Learning via Graph Diffusion
Vitalis Vosylius, Edward Johns
Density estimation with LLMs: a geometric investigation of in-context learning trajectories
Toni J.B. Liu, Nicolas Boulle, Raphaël Sarfati et al.
How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes
Harmon Bhasin, Timothy Ossowski, Yiqiao Zhong et al.
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations
Chenglei Si, Dan Friedman, Nitish Joshi et al.
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design
Yoav Levine, Noam Wies, Daniel Jannai et al.
MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning
Huazheng Wang, Jinming Wu, Haifeng Sun et al.
Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations
Lvxue Li, Jiaqi Chen, Xinyu Lu et al.
Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation
Sadaf Md Halim, Chen Zhao, Xintao Wu et al.
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations
Nicholas Popovic, Ashish Kangen, Tim Schopf et al.
Exploring the Relationship between In-Context Learning and Instruction Tuning
Hanyu Duan, Yixuan Tang, Yi Yang et al.
C-ICL: Contrastive In-context Learning for Information Extraction
Ying Mo, Jiahao Liu, Jian Yang et al.
SAIL: Sample-Centric In-Context Learning for Document Information Extraction
Jinyu Zhang, Zhiyuan You, Jize Wang et al.
Identifying Semantic Induction Heads to Understand In-Context Learning
Jie Ren, Qipeng Guo, Hang Yan et al.
In-Context Learning State Vector with Inner and Momentum Optimization
Dongfang Li, Zhenyu Liu, Xinshuo Hu et al.
Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs
Zhuo Li, Yuhao Du, Jinpeng Hu et al.
RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning Based on Emotional Information
Zhiwei Liu, Kailai Yang, Qianqian Xie et al.
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
Lean Wang, Lei Li, Damai Dai et al.
Inference and Verbalization Functions During In-Context Learning
Junyi Tao, Xiaoyin Chen, Nelson F. Liu
An Explanation of In-context Learning as Implicit Bayesian Inference
Sang Michael Xie, Aditi Raghunathan, Percy Liang et al.
Instantly Learning Preference Alignment via In-context DPO
Feifan Song, Yuxuan Fan, Xin Zhang et al.
Navigating the Infinite Dynamic Web Space: Effective In-Context Exploration via Cognitive Multi-Agent Collaboration
Guozhao Mo, Yanjiang Liu, Yafei Shi et al.