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Sungchul Kim

20 papers hereh-index 10447 citations32 works total

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

author position
  • middle author19

Across the 19 of 20 papers where every author was matched, so the position is known.

fields
  • cs.CL10
  • cs.AI4
  • cs.LG2
  • cs.CV1
  • cs.DS1
  • cs.HC1
same name
  • Sungchul Kim — 20 papers, h 25
  • Sungchul Kim — 20 papers, h 9
  • Sungchul Kim — 6 papers, h 4
  • Sungchul Kim — 1 paper, h 3
  • Sungchul Kim — 1 paper, h 5

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
20242026
most citedSurvey of User Interface Design and Interaction Techniques in Generative AI Applications

2 citations · 3 across the 11 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

Agent2UCB: Agentic System for Generative Engine Optimization

Sheldon Yu, Rui Wang, Tong Yu +4

Large language model driven search engines such as Google AI Overviews and Perplexity have created new opportunities for Generative Engine Optimization (GEO) the practice of refini…

cs.AI2026

Can We Break LLMs Out of Self-Loops? Fine-Grained Reasoning Control with Activation Steering

Sheldon Yu, Tong Yu, Xunyi Jiang +6

Extended reasoning has become standard for frontier Large Language Models (LLMs), yet the trajectories these models produce remain largely uncontrollable. Existing methods for shap…

cs.AI2025

Towards Improving Long-Tail Entity Predictions in Temporal Knowledge Graphs through Global Similarity and Weighted Sampling

Mehrnoosh Mirtaheri, Ryan A. Rossi, Sungchul Kim +4

Temporal Knowledge Graph (TKG) completion models traditionally assume access to the entire graph during training. This overlooks challenges stemming from the evolving nature of TKG…

cs.AI2024

GUI Agents: A Survey

Dang Nguyen, Jian Chen, Yu Wang +27

Graphical User Interface (GUI) agents, powered by Large Foundation Models, have emerged as a transformative approach to automating human-computer interaction. These agents autonomo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.