Seongyun Lee

According to our database1, Seongyun Lee authored at least 13 papers between 2023 and 2025.

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Bibliography

2025
The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think.
CoRR, May, 2025

Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning.
CoRR, April, 2025

Scaling Evaluation-time Compute with Reasoning Models as Process Evaluators.
CoRR, March, 2025

The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

How Does Vision-Language Adaptation Impact the Safety of Vision Language Models?
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Efficient Long Context Language Model Retrieval with Compression.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Evaluating Language Models as Synthetic Data Generators.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Aligning to Thousands of Preferences via System Message Generalization.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023
Zero-Shot Dense Video Captioning by Jointly Optimizing Text and Moment.
CoRR, 2023

LIQUID: A Framework for List Question Answering Dataset Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023


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