Papers by Yonghyun Jun
Dynamic Order Template Prediction for Generative Aspect-Based Sentiment Analysis (2025.acl-short)
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| Challenge: | Aspect-based sentiment analysis (ABSA) assesses sentiments towards aspects within texts, resulting in detailed sentiment tuples. |
| Approach: | They propose a dynamic order template method that dynamically creates an order template that contains only the necessary views for each instance. |
| Outcome: | The proposed method improves F1 scores on ASQP and ACOS datasets while significantly reducing inference time. |
Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question Answering (2025.emnlp-main)
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| Challenge: | Large Language Models (LLMs) are increasingly deployed in sensitive domains . large-scale benchmarks for contextual security preservation against attacks remain lacking . |
| Approach: | They evaluate 10 Large Language Models on a benchmark dataset to assess their adherence to contextual non-disclosure policies. |
| Outcome: | The proposed model fails to adhere to user-defined security policies in question answering . the model fails in indirect attacks, especially when it violates user-definable policies . |
Exploring Persona Sentiment Sensitivity in Personalized Dialogue Generation (2025.acl-long)
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| Challenge: | Personalized dialogue systems have advanced with the integration of user-specific personas into large language models (LLMs). |
| Approach: | They propose a dialogue generation approach that explicitly accounts for persona polarity by combining a turn-based generation strategy with a profile ordering mechanism and sentiment-aware prompting. |
| Outcome: | The proposed approach accounts for persona polarity by combining a turn-based generation strategy with a profile ordering mechanism and sentiment-aware prompting. |