Papers by Sungwoo Han

3 papers
Measuring Watermarking under Jailbreaking: ASR Inflation and Goal-Compliance Mismatch (2026.findings-acl)

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Challenge: Recent work studies watermarking under benign prompts, but its behavior under jailbreaking prompts remains underexplored.
Approach: They evaluate six methods on four LLMs using two jailbreak benchmarks and three settings: Static, AutoDAN, and DSN.
Outcome: The proposed methods inflate judge-based attack success rate under jailbreaking, but not harmful-goal compliance.
Beyond Sampling: Self-Sorting for Long-Context Ranking (2026.findings-eacl)

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Challenge: Large language models (LLMs) remain unstable on long-context ranking.
Approach: They propose a method that fuses explicit within-list positions with implicit cross-list preferences to score entities and return a top-k set.
Outcome: Experimental results show that large language models remain unstable on long-context ranking .
ConRAS: Contrastive In-context Learning Framework for Retrieval-Augmented Summarization (2026.findings-eacl)

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Challenge: Despite progress in natural language processing, the potential of contrastive learning remains unexplored.
Approach: They propose a framework that injects contrastive objectives into in-context learning-based retrieval-augmented summarization.
Outcome: The proposed framework outperforms state-of-the-art retrieval-augmented methods on three summarization benchmarks showing that it can distinguish between positive and negative samples without parameter updates.

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