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23 Results

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Workshop
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection
Yu Bai · Fan Chen · Huan Wang · Caiming Xiong · Song Mei
Poster
Tue 17:00 Transformers as Algorithms: Generalization and Stability in In-context Learning
Yingcong Li · Muhammed Ildiz · Dimitris Papailiopoulos · Samet Oymak
Workshop
Backdoor Attacks for In-Context Learning with Language Models
Workshop
A Closer Look at In-Context Learning under Distribution Shifts
Kartik Ahuja · David Lopez-Paz
Poster
Thu 13:30 PFNs4BO: In-Context Learning for Bayesian Optimization
Samuel Gabriel Müller · Matthias Feurer · Noah Hollmann · Frank Hutter
Workshop
Structured State Space Models for In-Context Reinforcement Learning
Christopher Lu · Yannick Schroecker · Albert Gu · Emilio Parisotto · Jakob Foerster · Satinder Singh · Feryal Behbahani
Workshop
Lexinvariant Language Models
Qian Huang · Eric Zelikman · Sarah Chen · Yuhuai Wu · Greg Valiant · Percy Liang
Workshop
PRODIGY: Enabling In-context Learning Over Graphs
Qian Huang · Hongyu Ren · Peng Chen · Gregor Kržmanc · Daniel Zeng · Percy Liang · Jure Leskovec
Workshop
Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning
Xinyi Wang · Wanrong Zhu · Michael Saxon · Mark Steyvers · William Wang
Poster
Wed 14:00 FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning
Songtao Liu · Zhengkai Tu · Minkai Xu · Zuobai Zhang · Lu Lin · ZHITAO YING · Jian Tang · Peilin Zhao · Dinghao Wu
Workshop
Semi-supervised Tabular Classification via In-context Learning of Large Language Models
Jaehyun Nam · Woomin Song · Seong Hyeon Park · Jihoon Tack · Sukmin Yun · Jaehyung Kim · Jinwoo Shin
Workshop
In-Context Exemplars as Clues to Retrieving \\ from Large Associative Memory
Jiachen Zhao