Papers by Kenny Peng

2 papers
Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers (2024.naacl-long)

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Challenge: Recent advances in language modeling have caused disruptive shifts throughout AI research, spurring discussion about how the field is changing and how it should change.
Approach: They analyze a dataset of 16,979 LLM-related arXiv papers and examine industry and academic publishing trends.
Outcome: The authors examine the impact of large language models on AI research in 2023 and 2022.
Mapping Long-term Causalities in Psychiatric Symptomatology and Life Events from Social Media (2024.naacl-long)

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Challenge: Existing studies focus on the semantic content of social media posts, overlooking the evolving nature of mental disorders and symptoms.
Approach: They extract causality between psychiatric symptoms and life events from social media posts and extract temporal attributes to improve diagnosis and treatment planning.
Outcome: The extracted causality features improve diagnostic and treatment planning and improve performance in tasks such as depression and diagnosis point detection.

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