Zhiqiu Lin

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Research focus

Multimodal Models (2)Interpretability & Mechanistic Interp (1)Constitutional AI & AI Ethics (1)Data Curation & Synthetic Data (1)

Frequent co-authors

Deva Ramanan (2)G. Gare (1)Jia Shi (1)Deepak Pathak (1)J. Galeotti (1)Shubhashis Nobin Sarwar (1)Roy Dipta (1)Zheyuan Liu (1)

Papers (2)

Jul 21, 2026

G. Gare +5Jul 21, 2026

Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models

Class-name descriptors can mislead vision-language models, but selecting attributes directly from images boosts accuracy and interpretability significantly.

G. Gare, Jia Shi, Zhiqiu Lin +3

Interpretability & Mechanistic Interp Multimodal Models

Jul 8, 2026

Tsinghua AIJul 8, 2026·also AI2, Amazon Science, CMU ML, MIT CSAIL +10

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks

Multimodal unlearning could revolutionize how we handle sensitive data in AI, enabling targeted removal without sacrificing model performance.

Shubhashis Nobin Sarwar, Roy Dipta, Zheyuan Liu +165

Constitutional AI & AI Ethics Data Curation & Synthetic Data Multimodal Models

Zhiqiu Lin

Research focus

Frequent co-authors

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Zhiqiu Lin

Research focus

Frequent co-authors

Papers (2)