◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

John Seon Keun Yi

3 papers hereh-index 4158 citations5 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.AI1
  • cs.CL1
  • cs.CV1
same name
  • John Seon Keun Yi — 1 paper, 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

most citedA Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond

38 citations · 38 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2026

GRACE: Graph-Grounded Reflective Agent Copilot Engine for Expert-in-the-Loop Knowledge Expansion

John Seon Keun Yi, Joshua R. Minot, Dokyun Lee

Large language models deployed in high-stakes settings frequently generate plausible but ungrounded claims. Standard retrieval-augmented generation (RAG) pipelines offer limited re…

cs.AI2026

Latent Agents: A Post-Training Procedure for Internalized Multi-Agent Debate

John Seon Keun Yi, Aaron Mueller, Dokyun Lee

Multi-agent debate has been shown to improve reasoning in large language models (LLMs). However, it is compute-intensive, requiring generation of long transcripts before answering…

cs.CV2022★ 38 cited

A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond

Chaoning Zhang, Chenshuang Zhang, Junha Song +3

Masked autoencoders are scalable vision learners, as the title of MAE \cite{he2022masked}, which suggests that self-supervised learning (SSL) in vision might undertake a similar tr…

◍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.