Sangwon Ryu

Sangwon Ryu has 3 papers in our library, in 2026, most of them on Summarization; often with Gary Lee, Heejin Do, Jungseul Ok.

3 papers in our library · 2026

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

Fields, topics and concepts

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

The most cited first (OpenAlex and our library).

Behavior-Aware Item Modeling via Dynamic Procedural Solution Representations for Knowledge Tracing (2026 · 2 citations)
Knowledge Tracing (KT) predicts whether a learner will answer a new item correctly based on past responses.
Exploring Iterative Controllable Summarization with Large Language Models (2026 · 2 citations)
LLMs write fluent summaries, but it is unclear how well they follow precise user requirements such as a target length or topic focus.
Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree Search (2026)
The paper tackles multi-attribute controllable summarization, where a summary must meet several user constraints at once: extractiveness, length, specificity, topic and speaker.

6 co-authors with a page, the most papers together first.

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

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated 1 November 2026