Xuguang Ai

Orcid: 0009-0000-2432-8316

According to our database1, Xuguang Ai authored at least 17 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Herculean: An Agentic Benchmark for Financial Intelligence.
CoRR, May, 2026

Are Multimodal LLMs Ready for Clinical Dermatology? A Real-World Evaluation in Dermatology.
CoRR, May, 2026

VOLMO: Versatile and Open Large Models for Ophthalmology.
CoRR, March, 2026

A Federated and Parameter-Efficient Framework for Large Language Model Training in Medicine.
CoRR, January, 2026

EHRNavigator: A Multi-Agent System for Patient-Level Clinical Question Answering over Heterogeneous Electronic Health Records.
CoRR, January, 2026

2025
Memorization in Large Language Models in Medicine: Prevalence, Characteristics, and Implications.
CoRR, September, 2025

BEnchmarking LLMs for Ophthalmology (BELO) for Ophthalmological Knowledge and Reasoning.
CoRR, July, 2025

Benchmarking Next-Generation Reasoning-Focused Large Language Models in Ophthalmology: A Head-to-Head Evaluation on 5,888 Items.
CoRR, April, 2025

A Benchmark for End-to-End Zero-Shot Biomedical Relation Extraction with LLMs: Experiments with OpenAI Models.
CoRR, April, 2025

Can OpenAI o1 Reason Well in Ophthalmology? A 6,990-Question Head-to-Head Evaluation Study.
CoRR, January, 2025

Comparison of Pipelines, Seq2seq Models, and LLMs for Rare Disease Information Extraction.
Proceedings of the Natural Language Processing and Information Systems, 2025

Clinical Trial Eligibility Criteria Decomposition and Parsing with Large Language Models.
Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

2024
Language Enhanced Model for Eye (LEME): An Open-Source Ophthalmology-Specific Large Language Model.
CoRR, 2024

Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology.
CoRR, 2024

Yale at "Discharge Me!": Evaluating Constrained Generation of Discharge Summaries with Unstructured and Structured Information.
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

2023
Comparison of pipeline, sequence-to-sequence, and GPT models for end-to-end relation extraction: experiments with the rare disease use-case.
CoRR, 2023

End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023


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