ICLR 2025 "transformer models" Papers

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Can In-context Learning Really Generalize to Out-of-distribution Tasks?

Qixun Wang, Yifei Wang, Xianghua Ying et al.

ICLR 2025posterarXiv:2410.09695
15
citations

Learning Randomized Algorithms with Transformers

Johannes von Oswald, Seijin Kobayashi, Yassir Akram et al.

ICLR 2025posterarXiv:2408.10818
1
citations

Mixture of Parrots: Experts improve memorization more than reasoning

Samy Jelassi, Clara Mohri, David Brandfonbrener et al.

ICLR 2025posterarXiv:2410.19034
14
citations

Multi-modal brain encoding models for multi-modal stimuli

SUBBA REDDY OOTA, Khushbu Pahwa, mounika marreddy et al.

ICLR 2025posterarXiv:2505.20027
9
citations

SelectFormer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation

Xu Ouyang, Felix Xiaozhu Lin, Yangfeng Ji

ICLR 2025poster

Toward Understanding In-context vs. In-weight Learning

Bryan Chan, Xinyi Chen, Andras Gyorgy et al.

ICLR 2025posterarXiv:2410.23042
14
citations

Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity

Jiachen Jiang, Jinxin Zhou, Zhihui Zhu

ICLR 2025posterarXiv:2406.14479
16
citations