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Poster
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Fri 11:00
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The Closeness of In-Context Learning and Weight Shifting for Softmax Regression
Shuai Li · Zhao Song · Yu Xia · Tong Yu · Tianyi Zhou
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Poster
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Thu 16:30
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In-Context Learning with Representations: Contextual Generalization of Trained Transformers
Tong Yang · Yu Huang · Yingbin Liang · Yuejie Chi
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Poster
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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
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Poster
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Wed 11:00
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Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation
Jiaxin Cheng · ZIXU ZHAO · Tong He · Tianjun Xiao · Zheng Zhang · Yicong Zhou
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Poster
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Wed 11:00
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Transformers are Minimax Optimal Nonparametric In-Context Learners
Juno Kim · Tai Nakamaki · Taiji Suzuki
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Poster
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Thu 11:00
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A Simple Image Segmentation Framework via In-Context Examples
Yang Liu · Chenchen Jing · Hengtao Li · Muzhi Zhu · Hao Chen · Xinlong Wang · Chunhua Shen
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Affinity Event
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Many-Shot In-Context Learning: A Solution or Just an Enhancement for Low-Resource NLP?
Henok Ademtew · Mikiyas Birbo
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Poster
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Thu 11:00
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Towards Global Optimal Visual In-Context Learning Prompt Selection
Chengming Xu · Chen Liu · Yikai Wang · Yuan Yao · Yanwei Fu
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Poster
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Wed 16:30
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LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding
Haoning Wu · DONGXU LI · Bei Chen · Junnan Li
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Poster
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Wed 11:00
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Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack
Xiaoyue Xu · Qinyuan Ye · Xiang Ren
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Poster
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InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory
Chaojun Xiao · Pengle Zhang · Xu Han · Guangxuan Xiao · Yankai Lin · Zhengyan Zhang · Zhiyuan Liu · Maosong Sun
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Poster
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Fri 11:00
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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
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