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Home/Authors/Kangsan Kim

Kangsan Kim

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

ML×2AI×2NLP×1Crypto×1

Frequent co-authors

Sung Ju Hwang2×
Suji Kim1×
Sangwoo Park1×
Woongyeong Yeo1×
Seanie Lee1×
Yumin Choi1×

Research Timeline

2026
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.

Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents

The paper introduces LearnWeak, an annotation-free framework that automatically specializes small computer-use agents by identifying and targeting their specific weaknesses using a stronger reference agent, achieving significant performance gains on OSWorld.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.AIcs.CLRecentMay 27, 2026

Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents

Suji Kim, Kangsan Kim, Sung Ju Hwang

The paper introduces LearnWeak, an annotation-free framework that automatically specializes small computer-use agents by identifying and targeting their specific weaknesses using a stronger reference…

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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…

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