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Poster
Wed 16:30 In-Context Symmetries: Self-Supervised Learning through Contextual World Models
Sharut Gupta · Chenyu Wang · Yifei Wang · Tommi Jaakkola · Stefanie Jegelka
Expo Talk Panel
Wed 16:30 MegaBeam-Mistral-7B: Advancing Long-Context Processing for Real-World AI Applications
Chen Wu · Yin Song · Eden Duthie
Poster
Wed 16:30 In-Context Learning State Vector with Inner and Momentum Optimization
Dongfang Li · zhenyu liu · Xinshuo Hu · Zetian Sun · Baotian Hu · Min Zhang
Poster
Fri 11:00 Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond
Yingcong Li · Ankit Rawat · Samet Oymak
Poster
Thu 16:30 In-Context Learning with Representations: Contextual Generalization of Trained Transformers
Tong Yang · Yu Huang · Yingbin Liang · Yuejie Chi
Poster
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate
Fan-Ming Luo · Zuolin Tu · Zefang Huang · Yang Yu
Poster
Fri 16:30 The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
Ezra Edelman · Nikolaos Tsilivis · Benjamin Edelman · Eran Malach · Surbhi Goel
Poster
IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons
Dan Shi · Renren Jin · Tianhao Shen · Weilong Dong · Xinwei Wu · Deyi Xiong
Poster
Wed 11:00 Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation
Jiaxin Cheng · ZIXU ZHAO · Tong He · Tianjun Xiao · Zheng Zhang · Yicong Zhou
Poster
Fri 11:00 Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning
Dake Bu · Wei Huang · Andi Han · Atsushi Nitanda · Taiji Suzuki · Qingfu Zhang · Hau-San Wong
Poster
Wed 11:00 In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization
Ruiqi Zhang · Jingfeng Wu · Peter Bartlett
Poster
Wed 16:30 Learning Place Cell Representations and Context-Dependent Remapping
Markus Pettersen · Frederik Rogge · Mikkel Lepperød