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Career

· Applied Scientist (AI ML), Salesforce2025–
· PhD Student, Berkeley Artificial Intelligence Research Lab (BAIR)2020–2025

Publications (10)

Explaining black box text modules in natural language with language models
arXiv.org · 2023
66
cited
Scan-Mode Atmospheric-Pressure Plasma Jet Processed Reduced Graphene Oxides for Quasi-Solid-State Gel-Electrolyte Supercapacitors
2018
20
cited
Personalized Dialogue Response Generation Learned from Monologues
Interspeech · 2019
18
cited
Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition
International Conference on Learning Representations · 2024
15
cited
A generative framework to bridge data-driven models and scientific theories in language neuroscience
arXiv.org · 2024
6
cited
Generative causal testing to bridge data-driven models and scientific theories in language neuroscience
2024
3
cited
Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making
International Conference on Learning Representations · 2023
1
cited
Rate, Explain and Cite (REC): Enhanced Explanation and Attribution in Automatic Evaluation by Large Language Models
arXiv.org · 2024
1
cited
Adaptive Test-Time Intervention for Concept Bottleneck Models
2025
CDR-Agent: Intelligent Selection and Execution of Clinical Decision Rules Using Large Language Model Agents
arXiv.org · 2025
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Aliyah Hsu | Researcher Profile | Sotabase | Sotabase