Papers by Jaewoo Shin
Who Wrote this Code? Watermarking for Code Generation (2024.acl-long)
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| Challenge: | Existing methods to detect machine-generated text by embedding watermarks fail to function appropriately in code generation tasks due to the task’s nature of having low entropy. |
| Approach: | They propose a logit-modifying watermark method which enhances detection ability and mitigates code quality degeneration by removing low-entropy segments at generating and detecting watermarks. |
| Outcome: | The proposed method outperforms baseline methods in detecting machine-generated code text while preserving code quality. |
Tracing Mathematical Proficiency Through Problem-Solving Processes (2026.findings-acl)
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| Challenge: | Knowledge Tracing (KT) models a learner's evolving knowledge state over time, but lacks the rich information embedded in students' problem-solving processes. |
| Approach: | They propose a framework that uses a teacher-student-teacher pipeline to extract students’ Mathematical Proficiency (MP) as intermediate representation. |
| Outcome: | The proposed framework improves the prediction performance of existing KT methods and provides interpretable explanations by explicitly modeling students’ mathematical proficiency. |
SCRIPTMIND: Crime Script Inference and Cognitive Evaluation for LLM-based Social Engineering Scam Detection System (2026.eacl-industry)
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| Challenge: | Large Language Models (LLMs) have shown promise in identifying deception, but their cognitive assistance potential remains underexplored. |
| Approach: | They propose a framework for LLM-based scam detection that bridges automated reasoning and human cognition. |
| Outcome: | The proposed framework outperforms GPT-4o in the Korean scam detection and phone scam simulations. |