Sukmin Cho
Orcid: 0000-0003-1290-1570
According to our database1,
Sukmin Cho
authored at least 27 papers
between 2022 and 2025.
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Bibliography
2025
The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation Systems.
CoRR, February, 2025
PiLaMIM: Toward Richer Visual Representations by Integrating Pixel and Latent Masked Image Modeling.
CoRR, January, 2025
A Spatio-Temporal Representation Learning as an Alternative to Traditional Glosses in Sign Language Translation and Production.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
An Efficient Gloss-Free Sign Language Translation Using Spatial Configurations and Motion Dynamics with LLMs.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
Does Rationale Quality Matter? Enhancing Mental Disorder Detection via Selective Reasoning Distillation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling.
CoRR, 2024
An Efficient Sign Language Translation Using Spatial Configuration and Motion Dynamics with LLMs.
CoRR, 2024
DSLR: Document Refinement with Sentence-Level Re-ranking and Reconstruction to Enhance Retrieval-Augmented Generation.
CoRR, 2024
Universal Gloss-level Representation for Gloss-free Sign Language Translation and Production.
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
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
Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 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
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 Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 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