Soyeong Jeong
According to our database1,
Soyeong Jeong
authored at least 31 papers
between 2015 and 2025.
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Bibliography
2025
Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding.
CoRR, February, 2025
2024
IEEE Trans. Cybern., May, 2024
EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation.
CoRR, 2024
CoRR, 2024
DSLR: Document Refinement with Sentence-Level Re-ranking and Reconstruction to Enhance Retrieval-Augmented Generation.
CoRR, 2024
CoRR, 2024
Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models.
CoRR, 2024
Typos that Broke the RAG's Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations.
CoRR, 2024
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Typos that Broke the RAG's Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning.
CoRR, 2023
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement.
CoRR, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Improving Zero-shot Reader by Reducing Distractions from Irrelevant Documents in Open-Domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Phrase Retrieval for Open Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022
Proceedings of Deep Learning Inside Out: The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2022
2021
Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation.
CoRR, 2021
2019
Proceedings of the 2019 5th International Conference on Computing and Artificial Intelligence, 2019
2015
Perturbation and Truncation of Probability Generating Function Methods for Stiff Chemical Reactions.
J. Appl. Math., 2015