Papers by Sangwoo Hong
Generating User-Engaging News Headlines (2023.acl-long)
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| Challenge: | Personalized news recommendation systems present the same headline to all users, making it difficult for them to understand the connection between their interests and the recommended article. |
| Approach: | They propose a framework that incorporates user profiling to generate personalized headlines and a combination of automated and human evaluation methods to determine user preference for personalized headline generation. |
| Outcome: | The proposed framework can generate personalized headlines that meet the needs of a diverse audience. |
Efficient Process Reward Modeling via Contrastive Mutual Information (2026.acl-long)
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| Challenge: | Existing methods to verify intermediate reasoning steps require human annotators to assign reward scores to each reasoning step, which is labor-intensive and costly. |
| Approach: | They propose a method that leverages the model's internal probability to infer step-level supervision while significantly reducing the computational burden of annotating dataset. |
| Outcome: | The proposed method reduces dataset construction time by 84% and token generation by 98% compared to MC estimation, while achieving higher accuracy on process-level evaluations and mathematical reasoning benchmarks. |