Kellen Tan Cheng — accepted AI-conference papers

2024

Don’t be my Doctor! Recognizing Healthcare Advice in Large Language Models

Kellen Tan Cheng, Anna Lisa Gentile, Pengyuan Li, Chad DeLuca, Guang-Jie Ren

EMNLP 2024industry

Large language models (LLMs) have seen increasing popularity in daily use, with their widespread adoption by many corporations as virtual assistants, chatbots, predictors, and many more. Their growing influence raises the need for safeguards and guardrails to ensure that the outputs from LLMs do not…

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2023

IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions

Ziheng Zeng, Kellen Tan Cheng, Srihari Venkat Nanniyur, Jianing Zhou, Suma Bhat

EMNLP 2023long main

Idiomatic expression (IE) processing and comprehension have challenged pre-trained language models (PTLMs) because their meanings are non-compositional. Unlike prior works that enable IE comprehension through fine-tuning PTLMs with sentences containing IEs, in this work, we construct IEKG, a commons…

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