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Zhengyan Fu

2 accepted papers

2024

HonestLLM: Toward an Honest and Helpful Large Language Model

NeurIPS 2024poster

Large Language Models (LLMs) have achieved remarkable success across various industries and applications, owing to their exceptional generative capabilities. Nevertheless, honesty and helpfulness, which ensure safe and useful real-world deployments, have been considered as the longstanding cornersto…

2024

LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?

NAACL 2024findings

With the rapid development and widespread application of Large Language Models (LLMs), the use of Machine-Generated Text (MGT) has become increasingly common, bringing with it potential risks, especially in terms of quality and integrity in fields like news, education, and science. Current research…