Seongyun Lee

According to our database1, Seongyun Lee authored at least 10 papers between 2023 and 2024.

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Bibliography

2024
Efficient Long Context Language Model Retrieval with Compression.
CoRR, 2024

Evaluating Language Models as Synthetic Data Generators.
CoRR, 2024

How Does Vision-Language Adaptation Impact the Safety of Vision Language Models?
CoRR, 2024

The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models.
CoRR, 2024

Aligning to Thousands of Preferences via System Message Generalization.
CoRR, 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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