Papers by Sihan Chen

3 papers
A Computational Method for Measuring Open Codes in Qualitative Analysis (2026.findings-acl)

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Challenge: Qualitative analysis is widely adopted across many social science disciplines.
Approach: They propose a theory-informed computational method for measuring inductive coding results from humans and GAI.
Outcome: The proposed method captures breadth, consensus, unique contribution, and systematic deviation without assuming ground truth.
A Fully Generative Motivational Interviewing Counsellor Chatbot for Moving Smokers Towards the Decision to Quit (2025.findings-acl)

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Challenge: Large language models (LLMs) are being used to provide automated talk therapy . however, it is crucial to know if they would be effective and adhere to known standards.
Approach: They propose to use large language models to automate talk therapy with a focus on tobacco addiction.
Outcome: The proposed chatbot showed adherence to MI standards in 98% of utterances, higher than human counsellors.
Large Language Model Agents in Finance: A Survey Bridging Research, Practice, and Real-World Deployment (2025.findings-emnlp)

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Challenge: a systematic review of large language models (LLMs) is conducted to better align their capabilities with real-world demands.
Approach: They propose a functional taxonomy mapping financial domains to tasks, datasets, and institutional constraints. they catalog over 30 financial benchmarks and 20 representative models.
Outcome: The proposed model frameworks are bridging financial practice and LLM research.

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