Changdae Oh

Changdae Oh has 2 papers in our library, in 2026; often with Sean Du, Seongheon Park, Sharon Li.

2 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.

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

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

The most cited first (OpenAlex and our library).

Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities (2026 · 4 citations)
Most uncertainty quantification (UQ) work for LLMs studies a model that answers once, or follows one chain of reasoning, and gets no new information along the way.
VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation (2026)
Large vision-language models (LVLMs) often hallucinate. Self-evaluation methods built for text-only LLMs, such as entropy, verbalized confidence, Semantic Entropy and EigenScore, mostly capture linguistic plausibility. They can therefore stay confident when an image contradicts what the language prior expects. VAUQ…

7 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); 2 citing papers with a page here →.

Updated 1 November 2026