Poster "in-context learning" Papers

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Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context

Xiang Cheng, Yuxin Chen, Suvrit Sra

ICML 2024arXiv:2312.06528

Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape

Juno Kim, Taiji Suzuki

ICML 2024arXiv:2402.01258

Two-stage LLM Fine-tuning with Less Specialization and More Generalization

Yihan Wang, Si Si, Daliang Li et al.

ICLR 2024arXiv:2211.00635

Unifying Image Processing as Visual Prompting Question Answering

Yihao Liu, Xiangyu Chen, Xianzheng Ma et al.

ICML 2024arXiv:2310.10513

Why Larger Language Models Do In-context Learning Differently?

Zhenmei Shi, Junyi Wei, Zhuoyan Xu et al.

ICML 2024arXiv:2405.19592

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