Search Results for author: Stephen W. Thomas

Found 3 papers, 2 papers with code

HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation

1 code implementation14 Feb 2024 Yihao Fang, Stephen W. Thomas, Xiaodan Zhu

With the widespread adoption of large language models (LLMs) in numerous applications, the challenge of factuality and the propensity for hallucinations raises significant concerns.

Answer Selection In-Context Learning +1

ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection

1 code implementation25 Aug 2023 Yihao Fang, Xianzhi Li, Stephen W. Thomas, Xiaodan Zhu

Open intent detection, a crucial aspect of natural language understanding, involves the identification of previously unseen intents in user-generated text.

Data Augmentation Natural Language Understanding +1

Learning Better Intent Representations for Financial Open Intent Classification

no code implementations25 Oct 2022 Xianzhi Li, Will Aitken, Xiaodan Zhu, Stephen W. Thomas

With the recent surge of NLP technologies in the financial domain, banks and other financial entities have adopted virtual agents (VA) to assist customers.

Classification intent-classification +3

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