Jiahong Chen
Biographic Data
| ID | 6328980 |
|---|---|
| NAME | Jiahong Chen |
| GIVEN NAMES | Jiahong |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN J |
| AFFILIATIONS | Department of Health Care , , No. 56 Yulv Road, Xin’an Street, Guangdong 518101 |
| ORCID | 0000-0002-1970-6762 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A rapid evidence review of evaluation techniques for large language models in legal use cases
The legal profession faces mounting pressures, including case backlogs and limited access to legal services. Large language models (LLMs), such as OpenAI’s GPT series, have been touted as potential solutions, promising to streamline tasks such as legal drafting, summarisation, analysis, and advice. Proponents argue these models can enhance efficiency, accuracy, and access to justice. However, significant risks remain. LLMs are prone to bias, fact…
Delivering integrated and standardized services to eliminate mother-to-child transmission of sexually transmitted infections
The elimination of mother-to-child transmission (EMTCT) of syphilis and hepatitis B virus (HBV) is a crucial strategy for preventing and reducing new pediatric infections. Timely and standardized EMTCT interventions for maternal infections have been demonstrated to be highly cost-effective and efficient. Regrettably, healthcare providers have encountered challenges in delivering these interventions due to the complexity of multidepartment referra…
Regulating Online Behavioural Advertising Through Data Protection Law
Book notes
Data Localization Laws and Policy
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Data Localization Laws and Policy
Regulating Online Behavioural Advertising Through Data Protection Law
Book notes
Delivering integrated and standardized services to eliminate mother-to-child transmission of sexually transmitted infections
The elimination of mother-to-child transmission (EMTCT) of syphilis and hepatitis B virus (HBV) is a crucial strategy for preventing and reducing new pediatric infections. Timely and standardized EMTCT interventions for maternal infections have been demonstrated to be highly cost-effective and efficient. Regrettably, healthcare providers have encountered challenges in delivering these interventions due to the complexity of multidepartment referra…
A rapid evidence review of evaluation techniques for large language models in legal use cases
The legal profession faces mounting pressures, including case backlogs and limited access to legal services. Large language models (LLMs), such as OpenAI’s GPT series, have been touted as potential solutions, promising to streamline tasks such as legal drafting, summarisation, analysis, and advice. Proponents argue these models can enhance efficiency, accuracy, and access to justice. However, significant risks remain. LLMs are prone to bias, fact…
Computer Science (3 works) · Law (3 works) · Political science (3 works) · Advertising (2 works) · Business (2 works) · Freedom of Expression and Defamation (2 works) · Intellectual Property Law (2 works) · Internet privacy (2 works) · Law and economics (2 works) · Privacy, Security, and Data Protection (2 works)