Papers by Hyunjung Park
PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generation (2026.acl-long)
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| Challenge: | Existing methods for scientific poster generation lack hierarchical document understanding and coherent content-layout planning. |
| Approach: | They propose a training-free framework for scientific poster generation that captures document hierarchy and semantics across multiple levels. |
| Outcome: | The proposed framework outperforms existing methods in both automatic and human evaluations without additional training or domain-specific supervision. |
3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation (2025.findings-emnlp)
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| Challenge: | Vision-Language Models (VLMs) have shown remarkable performance on diverse visual and linguistic tasks, yet they remain limited in their understanding of 3D spatial structures. |
| Approach: | They propose a framework that injects human-inspired geometric cues into pretrained VLMs . they use sparse correspondences, relative depth relations and dense cost volumes . |
| Outcome: | The proposed framework outperforms existing methods on vision-language reasoning and 3D perception benchmarks. |
Subject-level Inference for Realistic Text Anonymization Evaluation (2026.acl-long)
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Myeong Seok Oh, Dong-Yun Kim, Hanseok Oh, Chaean Kang, Joeun Kang, Xiaonan Wang, Hyunjung Park, Young Cheol Jung, Hansaem Kim
| Challenge: | Existing text anonymization evaluations assume only a single data subject, ignoring multi-subject scenarios. |
| Approach: | They propose a benchmark that shifts the unit of evaluation from text spans to individuals . they show that subject-level inference protection drops as low as 33% when masked . |
| Outcome: | The proposed benchmark reduces the amount of protection available when PII spans are masked. |