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Yi Ren

4 papers hereh-index 590 citations15 works total

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

author position
  • sole author1
  • first author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.CV2
same name
  • Yi Ren — 16 papers, h 9
  • Yi Ren — 10 papers, h 11
  • Yi Ren — 9 papers, h 4
  • Yi Ren — 8 papers, h 2
  • Yi Ren — 5 papers, h 2
  • Yi Ren — 4 papers, h 1

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

collaborators

4 papers

cs.CL2026

mamabench and mamaretrieval: Benchmarks for Evaluating Medical Retrieval-Augmented Generation in Maternal, Neonatal, and Reproductive Health

Yi Ren

Medical question-answering benchmarks rarely cover the maternal, neonatal, child, and reproductive-health questions a nurse-midwife asks, and, to our knowledge, no public chunk-lev…

cs.CV2024

MMDS: A Multimodal Medical Diagnosis System Integrating Image Analysis and Knowledge-based Departmental Consultation

Yi Ren, HanZhi Zhang, Weibin Li +5

We present MMDS, a system capable of recognizing medical images and patient facial details, and providing professional medical diagnoses. The system consists of two core components…

cs.CL2024

Research on Predicting Public Opinion Event Heat Levels Based on Large Language Models

Yi Ren, Tianyi Zhang, Weibin Li +3

In recent years, with the rapid development of large language models, serval models such as GPT-4o have demonstrated extraordinary capabilities, surpassing human performance in var…

cs.CV2024

A Novel Adaptive Fine-Tuning Algorithm for Multimodal Models: Self-Optimizing Classification and Selection of High-Quality Datasets in Remote Sensing

Yi Ren, Tianyi Zhang, Zhixiong Han +6

We propose an adaptive fine-tuning algorithm for multimodal large models. The core steps of this algorithm involve two stages of truncation. First, the vast amount of data is proje…

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