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Daniel Hajialigol

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2020 – today

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2024
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  - journals/corr/abs-2403-15673
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  - https://dblp.org/rec/journals/corr/abs-2403-15673
Zhenyu Bi, Sajib Acharjee Dip, Daniel Hajialigol, Sindhura Kommu, Hanwen Liu, Meng Lu, Xuan Wang:
AI for Biomedicine in the Era of Large Language Models. CoRR abs/2403.15673 (2024)
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  - journals/corr/abs-2405-02165
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Hanwen Liu, Daniel Hajialigol, Benny Antony, Aiguo Han, Xuan Wang:
EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer. CoRR abs/2405.02165 (2024)
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  - journals/corr/abs-2407-03687
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Zhenyu Bi, Daniel Hajialigol, Zhongkai Sun, Jie Hao, Xuan Wang:
STOC-TOT: Stochastic Tree-of-Thought with Constrained Decoding for Complex Reasoning in Multi-Hop Question Answering. CoRR abs/2407.03687 (2024)
2023
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  - conf/emnlp/HajialigolKBYN023
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Daniel Hajialigol, Derek Kaknes, Tanner Barbour, Daphne Yao, Chris North, Jimeng Sun, David Liem, Xuan Wang:
DRGCoder: Explainable Clinical Coding for the Early Prediction of Diagnostic-Related Groups. EMNLP (Demos) 2023: 373-380
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  - journals/corr/abs-2311-00189
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Daniel Hajialigol, Hanwen Liu, Xuan Wang:
XAI-CLASS: Explanation-Enhanced Text Classification with Extremely Weak Supervision. CoRR abs/2311.00189 (2023)

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