Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding
Sukmin Cho, Sangjin Choi, Taeho Hwang, Jeongyeon Seo, Soyeong Jeong, Huije Lee, Hoyun Song, Jong C. Park, and Youngjin Kwon
Findings of NAACL'25 | Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics
To appear

An Efficient Sign Language Translation Using Spatial Configuration and Motion Dynamics with LLMs
Euijun Hwang, Sukmin Cho, Junmyeong Lee, and Jong C. Park
NAACL'25 | Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics
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A Spatio-Temporal Representation Learning as an Alternative to Traditional Glosses in Sign Language Translation and Production
Euijun Hwang, Sukmin Cho, Junmyeong Lee, and Jong C. Park
WACV'25 | IEEE/CVF Winter Conference on Applications of Computer Vision
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PiLaMIM: Toward Richer Visual Representations by Integrating Pixel and Latent Masked Image Modeling
Junmyeong Lee, Euijun Hwang, Sukmin Cho, and Jong C. Park
SSL@NeurIPS'24 | Self-Supervised Learning - Theory and Practice
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Typos that Broke the RAG's Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations
Sukmin Cho, Soyeong Jeong, Jeongyeon Seo, Taeho Hwang and Jong C. Park
Findings of EMNLP'24 | Empirical Methods in Natural Language Processing
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Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling
Huije Lee, Hoyun Song, Jisu Shin, Sukmin Cho, SeungYoon Han and Jong C. Park
Findings of EMNLP'24 | Empirical Methods in Natural Language Processing
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DSLR: Document Refinement with Sentence-Level Re-ranking and Reconstruction to Enhance Retrieval-Augmented Generation
Taeho Hwang, Soyeong Jeong, Sukmin Cho, SeungYoon Han and Jong C. Park KnowledgeNLP@ACL'24 | 3rd Workshop on Knowledge-Augmented NLP
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Preprocessing Mediapipe Keypoints with Keypoint Reconstruction and Anchors for Isolated Sign Language Recognition
Kyunggen Roh, Huije Lee, Eui Jun Hwang, Sukmin Cho, and Jong C. Park
sign-lang@LREC-COLING'24 | 11th Workshop on the Representation and Processing of Sign Languages: Evaluation of Sign Language Resources
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Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang and Jong C. Park NAACL'24 | Annual Conference of the North American Chapter of the Association for Computational Linguistic
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Improving Zero-shot Reader by Reducing Distractions from Irrelevant Documents in Open-Domain Question Answering
Sukmin Cho, Jeongyeon Seo, Soyeong Jeong and Jong C. Park Findings of EMNLP'23 | Empirical Methods in Natural Language Processing
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Test-Time Self-Adaptive Small Language Models for Question Answering
Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang and Jong C. Park Findings of EMNLP'23 | Empirical Methods in Natural Language Processing
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Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker
Sukmin Cho, Soyeong Jeong, Jeongyeon Seo and Jong C. Park Findings of ACL'23 | Annual Conference of Computational Linguistics
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Sign language production with avatar layering: A critical use case over rare words
Jung-Ho Kim, Eui Jun Hwang, Sukmin Cho, Du Hui Lee and Jong C. Park LREC'22 | International Conference on Language Resources and Evaluation
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Query generation with external knowledge for dense retrieval
Sukmin Cho, Soyeong Jeong, Wonsuk Yang and Jong C. Park DeeLIO@ACL'22 | Deep Learning Inside Out
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Augmenting document representations for dense retrieval with interpolation and perturbation
Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang and Jong C. Park ACL'22 | Annual Conference of the Association for Computational Linguistics
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