most citedAutomated Paper Screening for Clinical Reviews Using Large Language Models

192 citations · 225 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023★ 5 cited

COKE: A Cognitive Knowledge Graph for Machine Theory of Mind

Jincenzi Wu, Zhuang Chen, Jiawen Deng +3

Theory of mind (ToM) refers to humans' ability to understand and infer the desires, beliefs, and intentions of others. The acquisition of ToM plays a key role in humans' social cog…

cs.CL2023★ 192 cited

Automated Paper Screening for Clinical Reviews Using Large Language Models

Eddie Guo, Mehul Gupta, Jiawen Deng +3

Objective: To assess the performance of the OpenAI GPT API in accurately and efficiently identifying relevant titles and abstracts from real-world clinical review datasets and comp…

cs.CL2023★ 16 cited

Safety Assessment of Chinese Large Language Models

Hao Sun, Zhexin Zhang, Jiawen Deng +2

With the rapid popularity of large language models such as ChatGPT and GPT-4, a growing amount of attention is paid to their safety concerns. These models may generate insulting an…

cs.AI2023★ 12 cited

Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements

Jiawen Deng, Jiale Cheng, Hao Sun +2

As generative large model capabilities advance, safety concerns become more pronounced in their outputs. To ensure the sustainable growth of the AI ecosystem, it's imperative to un…

cs.CL2022

Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation

Zhexin Zhang, Jiale Cheng, Hao Sun +5

Large pretrained language models can easily produce toxic or biased content, which is prohibitive for practical use. In order to detect such toxic generations, existing methods rel…