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T. Tan

3 papers hereh-index 154.4k citations26 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI3
same name
  • T. Tan — 67 papers, h 31
  • T. Tan — 54 papers, h 113
  • T. Tan — 29 papers, h 20
  • T. Tan — 9 papers, h 9
  • T. Tan — 9 papers, h 5
  • T. Tan — 8 papers, h 27

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedFine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4

6 citations · 7 across the 2 of their papers we have counts for

collaborators

3 papers

cs.AI2026★ 1 cited

Clinical Validation of Medical-based Large Language Model Chatbots on Ophthalmic Patient Queries with LLM-based Evaluation

Ting Fang Tan, Kabilan Elangovan, Andreas Pollreisz +13

Domain specific large language models are increasingly used to support patient education, triage, and clinical decision making in ophthalmology, making rigorous evaluation essentia…

cs.AI2024

Towards Clinical AI Fairness: Filling Gaps in the Puzzle

Mingxuan Liu, Yilin Ning, Salinelat Teixayavong +16

The ethical integration of Artificial Intelligence (AI) in healthcare necessitates addressing fairness-a concept that is highly context-specific across medical fields. Extensive st…

cs.AI2024★ 6 cited

Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4

Ting Fang Tan, Kabilan Elangovan, Liyuan Jin +9

Purpose: To assess the alignment of GPT-4-based evaluation to human clinician experts, for the evaluation of responses to ophthalmology-related patient queries generated by fine-tu…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.