◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Ming Yin

Purdue University

20 papers hereh-index 283.5k citations93 works total

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

author position
  • middle author9
  • last author11

Across the 20 of 20 papers where every author was matched, so the position is known.

fields
  • cs.HC13
  • cs.CL3
  • cs.AI2
  • cs.LG2
affiliations
  • Purdue University
same name
  • Ming Yin — 22 papers, h 14
  • Ming Yin — 7 papers, h 5
  • Ming Yin — 6 papers, h 3
  • Ming Yin — 5 papers, h 2
  • Ming Yin — 4 papers, h 2
  • Ming Yin — 4 papers, h 2

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

activity
20182026
most citedTowards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making

9 citations · 43 across the 18 of their papers we have counts for

collaborators
Showing cs.CLShow all

3 papers · 1 filter

cs.CL2024★ 3 cited

How Does the Disclosure of AI Assistance Affect the Perceptions of Writing?

Zhuoyan Li, Chen Liang, Jing Peng +1

Recent advances in generative AI technologies like large language models have boosted the incorporation of AI assistance in writing workflows, leading to the rise of a new paradigm…

cs.CL2023★ 8 cited

Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations

Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu +1

The collection and curation of high-quality training data is crucial for developing text classification models with superior performance, but it is often associated with significan…

cs.CL2023★ 4 cited

Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections

Maria Leonor Pacheco, Tunazzina Islam, Lyle Ungar +2

Experts across diverse disciplines are often interested in making sense of large text collections. Traditionally, this challenge is approached either by noisy unsupervised techniqu…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.