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Jaeyoung Do

ACL 2026×2VLDB 2026×2ICLR 2026评测与基准推理效率与系统检索与知识多模态
新星分资深
21
一作贡献0
核心/参与8
方向广度16
合作网络0
0 一作 · 5 篇 · ACL 2026 / VLDB 2026 / ICLR 2026

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2026 顶会论文

5
作者位次 #3/3ICLR 2026Poster· Social Aspects / Trustworthy Machine Learning

RFEval: Benchmarking Reasoning Faithfulness under Counterfactual Reasoning Intervention in Large Reasoning Models

Yunseok Han · Yejoon Lee · Jaeyoung Do

推理评测与基准检索与知识OpenReview
作者位次 #3/3ACL 2026Findings· Findings of ACL

MI - CXR : A Benchmark for Longitudinal Reasoning over Multi-Interval Chest X -rays

Sunghwan Steve Cho · Yunseok Han · Jaeyoung Do

摘要

Longitudinal chest X-ray (CXR) interpretation requires reasoning over disease evolution across multiple patient visits, yet most existing medical VQA benchmarks focus on single images or short-horizon image pairs. We introduce MI-CXR , a benchmark for standardized evaluation of M ulti- I nterval...

多模态可解释性评测与基准OpenReview 项目页
作者位次 #4/4ACL 2026Findings· Findings of ACL

MATA : Multi-Agent Framework for Reliable and Flexible Table Question Answering

Sieun Hyeon · Jusang Oh · Sunghwan Steve Cho · Jaeyoung Do

摘要

Recent advances in Large Language Models (LLMs) have significantly improved table understanding tasks such as Table Question Answering (TableQA), yet challenges remain in ensuring reliability, scalability, and efficiency, especially in resource-constrained or privacy-sensitive environments. In th...

智能体与工具效率与系统推理OpenReview 项目页
作者位次 #4/4VLDB 2026Oral· Data Management (REG)

Revisiting Filtered ANN Benchmarks: A Hardness-Controlled Benchmark Generator for Realistic Evaluation

Mintaek Lim · Dogeun Kim · Minwoo Kim · Jaeyoung Do

评测与基准OpenReview
作者位次 #3/3VLDB 2026Oral· Data Management (REG)

Unified Static-Dynamic Pruning for Efficient LLM Inference

Jinhyeok Kim · Yejoon Lee · Jaeyoung Do

效率与系统OpenReview

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