Papers
680 papers found
CLICKER: Cross-Lingual Knowledge Editing via In-Context Learning with Adaptive Stepwise Reasoning
Zehui Jiang, Xin Zhao, Yuta Kumadaki et al.
Beyond Many-Shot Translation: Scaling In-Context Demonstrations For Low-Resource Machine Translation
Luis Frentzen Salim, Esteban Carlin, Alexandre Morinvil et al.
MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning
Jianbo Yu, Yixuan Li, Hai Xu et al.
Where and What Matters: Sensitivity-Aware Task Vectors for Many-Shot Multimodal In-Context Learning
Ziyu Ma, Chenhui Gou, Yiming Hu et al.
ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation
Yihua Shao, Xiaofeng Lin, Xinwei Long et al.
Efficient and Effective In-context Demonstration Selection with Coreset
Zihua Wang, Jiarui Wang, Haiyang Xu et al.
ICAD-LLM: One-for-All Anomaly Detection via In-Context Learning with Large Language Models
Zhongyuan Wu, Jingyuan Wang, Zexuan Cheng et al.
LILAD: Learning In-context Lyapunov-stable Adaptive Dynamics Models
Amit Jena, Na Li, Le Xie
Multi-agent In-context Coordination via Decentralized Memory Retrieval
Tao Jiang, Zichuan Lin, Lihe Li et al.
Counterfactual-based Cognitive Alignment In-Context Learning for Relation Extraction
Qibin Li, Shengyuan Bai, Nai Zhou et al.
Towards Understanding In-Context Learning of Transformers Under Non-I.I.D. Scenarios
Qilu Shen, Yingjie Wang, Jinhai Xiang
Retriever Encoder Selection Matters for In-Context Learning-based Medical Segmentation
Fan Wang, Zhongyi Han, Yongshun Gong et al.
IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization
Yuzhuo Bai, Shitong Duan, Muhua Huang et al.
Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective
Haoyang Chen, Richong Zhang, Junfan Chen
SkillGen: Learning Domain Skills for In-Context Sequential Decision Making
Ruomeng Ding, Wei Cheng, Minglai Shao et al.
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
Jiale Fu, Yaqing Wang, Simeng Han et al.
A Multi-Agent LLM Framework for Multi-Domain Low-Resource In-Context NER via Knowledge Retrieval, Disambiguation and Reflective Analysis
Wenxuan Mu, Jinzhong Ning, Di Zhao et al.
ICL-Router: In-Context Learned Model Representations for LLM Routing
Chenxu Wang, Hao Li, Yiqun Zhang et al.
Privacy Preserving In-Context-Learning Framework for Large Language Models
Bishnu Bhusal, Manoj Acharya, Ramneet Kaur et al.
To What Extent Can In-Context Learning Solve Unseen Tasks?
Ryoma Shinto, Masashi Takeshita, Rafal Rzepka et al.
CLL-RetICL: Contrastive Linguistic Label Retrieval-based In-Context Learning for Text Classification via Large Language Models
Chaohao Lin, Kaida Wu, Peihao Xiang et al.
The Alchemy of Thought: Understanding In-Context Learning Through Supervised Classification
Harshita Narnoli, Mihai Surdeanu
DoubleDipper: Recycling Contexts for Efficient and Attributed In-Context Learning
Arie Cattan, Alon Jacovi, Alex Fabrikant et al.
DoubleDipper: Recycling Contexts for Efficient and Attributed In-Context Learning
Arie Cattan, Alon Jacovi, Alex Fabrikant et al.
In-Context Learning with Representations: Contextual Generalization of Trained Transformers
Tong Yang, Yu Huang, Yingbin Liang et al.