ICML 2024 Workshop ICL Submissions

In-Context Reinforcement Learning Without Optimal Action Labels
Juncheng Dong, Moyang Guo, Ethan X Fang, Zhuoran Yang, Vahid Tarokh
- Published: 18 Jun 2024, Last Modified: 20 Jul 2024
- ICML 2024 Workshop ICL Poster
- Readers: Everyone
An In-Context Learning Theoretic Analysis of Chain-of-Thought
Chenxiao Yang, Zhiyuan Li, David Wipf
- Published: 18 Jun 2024, Last Modified: 14 Jul 2024
- ICML 2024 Workshop ICL Poster
- Readers: Everyone
Improve Temporal Awareness of LLMs for Domain-general Sequential Recommendation
Zhendong Chu, Zichao Wang, Ruiyi Zhang, Yangfeng Ji, Hongning Wang, Tong Sun
- Published: 18 Jun 2024, Last Modified: 20 Jul 2024
- ICML 2024 Workshop ICL Poster
- Readers: Everyone
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
Zijian Zhou, Xiaoqiang Lin, Xinyi Xu, Alok Prakash, Daniela Rus, Bryan Kian Hsiang Low
- Published: 18 Jun 2024, Last Modified: 18 Jun 2024
- ICML 2024 Workshop ICL Poster
- Readers: Everyone
In-context learning in presence of spurious correlations
Hrayr Harutyunyan, Rafayel Darbinyan, Samvel Karapetyan, Hrant Khachatrian
- Published: 18 Jun 2024, Last Modified: 19 Jul 2024
- ICML 2024 Workshop ICL Poster
- Readers: Everyone
Retrieval & Fine-Tuning for In-Context Tabular Models
Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony L. Caterini
- Published: 18 Jun 2024, Last Modified: 26 Jul 2024
- ICML 2024 Workshop ICL Poster
- Readers: Everyone
Many-shot In-Context Learning
Rishabh Agarwal, Avi Singh, Lei M Zhang, Bernd Bohnet, Luis Rosias, Stephanie C.Y. Chan, Biao Zhang, Aleksandra Faust, Hugo Larochelle
- Published: 18 Jun 2024, Last Modified: 02 Jul 2024
- ICML 2024 Workshop ICL Poster
- Readers: Everyone
Localized Zeroth-Order Prompt Optimization
Wenyang Hu, Yao Shu, Zongmin Yu, Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, See-Kiong Ng, Bryan Kian Hsiang Low
- Published: 18 Jun 2024, Last Modified: 19 Jul 2024
- ICML 2024 Workshop ICL Poster
- Readers: Everyone
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars
Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
- Published: 18 Jun 2024, Last Modified: 19 Jul 2024
- ICML 2024 Workshop ICL Poster
- Readers: Everyone
Transformers are Minimax Optimal Nonparametric In-Context Learners
Juno Kim, Tai Nakamaki, Taiji Suzuki
- Published: 18 Jun 2024, Last Modified: 19 Jun 2024
- ICML 2024 Workshop ICL Poster
- Readers: Everyone
Transformers Learn Temporal Difference Methods for In-Context Reinforcement Learning
Jiuqi Wang, Ethan H Blaser, Hadi Daneshmand, Shangtong Zhang
- Published: 18 Jun 2024, Last Modified: 18 Jul 2024
- ICML 2024 Workshop ICL Contributedtalk
- Readers: Everyone
LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language
James Requeima, John F Bronskill, Dami Choi, Richard E. Turner, David Duvenaud
- Published: 18 Jun 2024, Last Modified: 16 Jul 2024
- ICML 2024 Workshop ICL Contributedtalk
- Readers: Everyone
Many-Shot In-Context Learning in Multimodal Foundation Models
Yixing Jiang, Jeremy Andrew Irvin, Ji Hun Wang, Muhammad Ahmed Chaudhry, Jonathan H Chen, Andrew Y. Ng
- Published: 18 Jun 2024, Last Modified: 18 Jun 2024
- ICML 2024 Workshop ICL Poster
- Readers: Everyone
Can large language models explore in-context?
Akshay Krishnamurthy, Keegan Harris, Dylan J Foster, Cyril Zhang, Aleksandrs Slivkins
- Published: 18 Jun 2024, Last Modified: 18 Jun 2024
- ICML 2024 Workshop ICL Poster
- Readers: Everyone