Papers
680 papers found
Factors Affecting Translation Quality in In-context Learning for Multilingual Medical Domain
Jonathan Mutal, Raphael Rubino, Pierrette Bouillon
On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery
Renpu Liu, Ruida Zhou, Cong Shen et al.
Transformers Handle Endogeneity in In-Context Linear Regression
Haodong Liang, Krishna Balasubramanian, Lifeng Lai
Transformers as Algorithms: Generalization and Stability in In-context Learning
Yingcong Li, Muhammed Emrullah Ildiz, Dimitris Papailiopoulos et al.
Rectifying Demonstration Shortcut in In-Context Learning
Joonwon Jang, Sanghwan Jang, Wonbin Kweon et al.
Token-based Decision Criteria Are Suboptimal in In-context Learning
Hakaze Cho, Yoshihiro Sakai, Mariko Kato et al.
When natural language is not enough: The limits of in-context learning demonstrations in multilingual reasoning
Leonardo Ranaldi, Barry Haddow, Alexandra Birch
Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics
Norman Di Palo, Edward Johns
Mitigating Copy Bias in In-Context Learning through Neuron Pruning
Ameen Ali Ali, Lior Wolf, Ivan Titov
Learning to Generate Structured Meshes with In-Context: Toward Generalization in Mesh Generation
Jing Xiao, Xinhai Chen, Jiaming Peng et al.
Dissecting In-Context Learning of Translations in GPT-3
Vikas Raunak, Arul Menezes, Hany Awadalla
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning
Jingyu Hu, Weiru Liu, Mengnan Du
The Silent Amplifier: In-Context Examples Fuel Bias in Large Language Models
Xinwei Guo, Jiashi Gao, Junlei Zhou et al.
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks
Tianyu He, Darshil Doshi, Aritra Das et al.
Hire a Linguist!: Learning Endangered Languages in LLMs with In-Context Linguistic Descriptions
Kexun Zhang, Yee Choi, Zhenqiao Song et al.
Evaluating Large Language Models for In-Context Learning of Linguistic Patterns In Unseen Low Resource Languages
Hongpu Zhu, Yuqi Liang, Wenjing Xu et al.
A Benchmark and Robustness Study of In-Context-Learning with Large Language Models in Music Entity Detection
Simon Hachmeier, Robert Jäschke
Learning from LLM Agents: In-Context Generative Models for Text Casing in E-Commerce Ads
Yingxue Zhou, Tan Zhu, Tao Zeng et al.
Neuroverse3D: Developing In-Context Learning Universal Model for Neuroimaging in 3D
Jiesi Hu, Hanyang Peng, Yanwu Yang et al.
Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models
Mario Sanz-Guerrero, Katharina Von Der Wense
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning
Qinyuan Ye, Iz Beltagy, Matthew Peters et al.
Are Emergent Abilities in Large Language Models just In-Context Learning?
Sheng Lu, Irina Bigoulaeva, Rachneet Sachdeva et al.
VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning
Yongshuo Zong, Ondrej Bohdal, Timothy Hospedales