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Sungroh Yoon

Sungroh Yoon has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Speech & spoken language, Reasoning; often with Kang Min Yoo.

2 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 55 · 422 works · 14,087 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 80 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #9640

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 17 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation (2024 · 13 citations)
    Voice assistants built on LLMs usually chain separate ASR and TTS modules. This pipeline loses paralinguistic cues such as emotion and prosody, and recognition errors carry through to later stages. Kim et al. (Seoul National University and NAVER) propose USDM (Unified Spoken Dialog Model), an end-to-end speech-text…
  2. Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning (2026)
    Standard retrieval-augmented generation pastes raw retrieved passages into an LLM's prompt. Those passages often contain distracting material and differ in style from the model's training data, so the evidence is not used well. The authors propose Verbal Annotations: short analytic texts explaining how a document…

All works

8 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetJooyoung Choi et al.2021 · 676 citations
  2. FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJungbeom Lee et al.2019 · 464 citations
  3. Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetSeijoon Kim et al.2020 · 463 citations
  4. Perception Prioritized Training of Diffusion Models ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJooyoung Choi et al.2022 · 206 citations
  5. Towards a Rigorous Evaluation of Time-Series Anomaly Detection ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetSiwon Kim et al.2022 · 194 citations
  6. Transfer Learning for Deep Learning on Graph-Structured Data ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJaekoo Lee et al.2017 · 54 citations

 Co-authors here

1 co-author with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 80 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

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