publications

2025

1. Enhancing CBMs Through Binary Distillation with Applications to Test-time Intervention

   Matthew Shen*, Aliyah R. Hsu*, Abhineet Agarwal, and Bin Yu

   In ICLR BuildingTrust Workshop, 2025

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2. Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition

   Aliyah R. Hsu, Georgia Zhou, Yeshwanth Cherapanamjeri, Yaxuan Huang, Anobel Odisho, Peter R. Carroll, and Bin Yu

   In ICLR, 2025

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2024

1. Rate, Explain and Cite (REC): Enhanced Explanation and Attribution in Automatic Evaluation by Large Language Models

   Aliyah R. Hsu, James Zhu, Zhichao Wang, Bin Bi, Shubham Mehrotra, Shiva Kumar Pentyala, Katherine Tan, Xiang-Bo Mao, Roshanak Omrani, Sougata Chaudhuri, Regunathan Radhakrishnan, Sitaram Asur, Claire Na Cheng, and Bin Yu

   In Preprint, 2024

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2. A Generative Framework to Bridge Data-driven Models and Scientific Theories in Language Neuroscience

   Richard Antonello*, Chandan Singh*, Shailee Jain, Aliyah R. Hsu, Jianfeng Gao, Bin Yu, and Alexander Huth

   In Preprint, 2024

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3. Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making

   Aliyah R. Hsu, Yeshwanth Cherapanamjeri, Briton Park, Tristan Naumann, Anobel Odisho, and Bin Yu

   In ICLR, 2024

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2023

1. Explaining black box text modules in natural language with language models

   Chandan Singh*, Aliyah R. Hsu*, Richard Antonello, Shailee Jain, Alexander Huth, Bin Yu, and Jianfeng Gao

   In NeurIPS XAI in Action Workshop, 2023

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2019

1. Personalized Dialogue Response Generation Learned from Monologues

   Feng-Guang Su*, Aliyah R. Hsu*, Yi-Lin Tuan, and Hung-Yi Lee

   In Interspeech, 2019

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2018

1. Scan-Mode Atmospheric-Pressure Plasma Jet Processed Reduced Graphene Oxides for Quasi-Solid-State Gel-Electrolyte Supercapacitors

   Aliyah R. Hsu, Hung-Hua Chien, Chen-Yu Liao, Chia-Chun Lee, Jui-Hsuan Tsai, Cheng-Che Hsu, I-Chun Cheng, and Jian-Zhang Chen

   Coatings, 2018

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