ICLR 2025 "model interpretability" Papers

6 papers found

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Conference

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AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution

Fengyuan Liu, Nikhil Kandpal, Colin Raffel

ICLR 2025posterarXiv:2411.15102
12
citations

Concept Bottleneck Language Models For Protein Design

Aya Ismail, Tuomas Oikarinen, Amy Wang et al.

ICLR 2025posterarXiv:2411.06090
13
citations

Data-centric Prediction Explanation via Kernelized Stein Discrepancy

Mahtab Sarvmaili, Hassan Sajjad, Ga Wu

ICLR 2025posterarXiv:2403.15576
2
citations

Discovering Influential Neuron Path in Vision Transformers

Yifan Wang, Yifei Liu, Yingdong Shi et al.

ICLR 2025posterarXiv:2503.09046
4
citations

From Search to Sampling: Generative Models for Robust Algorithmic Recourse

Prateek Garg, Lokesh Nagalapatti, Sunita Sarawagi

ICLR 2025posterarXiv:2505.07351
2
citations

Looking Inward: Language Models Can Learn About Themselves by Introspection

Felix Jedidja Binder, James Chua, Tomek Korbak et al.

ICLR 2025oralarXiv:2410.13787
40
citations