Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Sangwoo Park

Sangwoo Park

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

AI×3NLP×2ML×2Crypto×2Info Retrieval×1

Frequent co-authors

Sung Ju Hwang3×
Jinheon Baek2×
Woongyeong Yeo2×
Seanie Lee2×
Yumin Choi2×
Hyomin Lee2×

Research Timeline

2026
T-MAP: Red-Teaming LLM Agents with Trajectory-aware Evolutionary Search

The paper introduces T-MAP, a trajectory-aware evolutionary search method, to discover and generate multi-step adversarial prompts that exploit vulnerabilities in autonomous LLM agents through tool execution, significantly improving attack realization rates.

It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs

The paper proposes SELFCI, a complementary self-distillation framework that effectively balances the privacy requirements of Contextual Integrity (CI) with the utility of large language models, outperforming existing methods without external supervision.

OmniRetrieval: Unified Retrieval across Heterogeneous Knowledge Sources

OmniRetrieval introduces a unified framework that handles natural language queries across diverse, heterogeneous knowledge sources (text, relational, graphs) by dispatching source-native queries without homogenizing the data structure.

Highlighted terms show continued research focus across papers

Papers

cs.CLcs.AIcs.IRRecentMay 28, 2026

OmniRetrieval: Unified Retrieval across Heterogeneous Knowledge Sources

Jinheon Baek, Soyeong Jeong, Sangwoo Park, Woongyeong Yeo +4 more

OmniRetrieval introduces a unified framework that handles natural language queries across diverse, heterogeneous knowledge sources (text, relational, graphs) by dispatching source-native queries witho…

View →
cs.LGcs.AIcs.CRRecentMay 18, 2026

It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs

Sangwoo Park, Woongyeong Yeo, Seanie Lee, Yumin Choi +5 more

The paper proposes SELFCI, a complementary self-distillation framework that effectively balances the privacy requirements of Contextual Integrity (CI) with the utility of large language models, outper…

View →
cs.CRcs.AIcs.CLRecentMar 21, 2026

T-MAP: Red-Teaming LLM Agents with Trajectory-aware Evolutionary Search

Hyomin Lee, Sangwoo Park, Yumin Choi, Sohyun An +2 more

The paper introduces T-MAP, a trajectory-aware evolutionary search method, to discover and generate multi-step adversarial prompts that exploit vulnerabilities in autonomous LLM agents through tool ex…

View →