Papers by Sungsoo Lee
Self-Training Large Language Models with Confident Reasoning (2025.findings-emnlp)
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| Challenge: | Large language models generate reasoning paths before final answers, but learning such a path requires costly human supervision. |
| Approach: | They propose a method that fine-tunes LLMs to prefer reasoning paths with high confidence . they propose 'cORE-PO' that fine tunes Lms to choose high-quality reasoning paths . |
| Outcome: | The proposed method improves the accuracy of outputs on four in-distribution and two out-of-difference benchmarks. |
Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks (2023.findings-acl)
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Sugyeong Eo, Hyeonseok Moon, Jinsung Kim, Yuna Hur, Jeongwook Kim, SongEun Lee, Changwoo Chun, Sungsoo Park, Heuiseok Lim
| Challenge: | Recent advances in QA pair generation (QAG) have raised interest in applying this technique to the educational field. |
| Approach: | They propose a QAG framework that enhances QA type diversity by producing different interrogative sentences and implicit/explicit answers. |
| Outcome: | The proposed framework outperforms state-of-the-art methods by significant margins, achieving improved diversity and quality. |
Chemical Language Understanding Benchmark (2023.acl-industry)
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| Challenge: | CLUB datasets are used to facilitate NLP research in the chemical industry. |
| Approach: | They introduce a benchmark dataset called CLUB to facilitate NLP research in the chemical industry. |
| Outcome: | The CLUB datasets are a new benchmark dataset for NLP in the chemical industry. |
Enhancing LLM Agent Safety via Causal Influence Prompting (2025.findings-acl)
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| Challenge: | Experimental results demonstrate that our method effectively enhances safety in code execution and mobile device control tasks. |
| Approach: | They propose a technique that leverages causal influence diagrams to identify and mitigate risks arising from agent decision-making. |
| Outcome: | The proposed method enhances safety in code execution and mobile device control tasks. |