Sukmin Cho

According to our database, Sukmin Cho authored at least 19 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling.

Huije Lee, Hoyun Song, Jisu Shin, Sukmin Cho, SeungYoon Han, Jong C. Park

CoRR, 2024

An Efficient Sign Language Translation Using Spatial Configuration and Motion Dynamics with LLMs.

Eui Jun Hwang, Sukmin Cho, Junmyeong Lee, Jong C. Park

CoRR, 2024

DSLR: Document Refinement with Sentence-Level Re-ranking and Reconstruction to Enhance Retrieval-Augmented Generation.

Taeho Hwang, Soyeong Jeong, Sukmin Cho, Seungyoon Han, Jong C. Park

CoRR, 2024

Universal Gloss-level Representation for Gloss-free Sign Language Translation and Production.

Eui Jun Hwang, Sukmin Cho, Huije Lee, Youngwoo Yoon, Jong C. Park

CoRR, 2024

Database-Augmented Query Representation for Information Retrieval.

Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park

CoRR, 2024

Self-Knowledge Distillation for Learning Ambiguity.

Hancheol Park, Soyeong Jeong, Sukmin Cho, Jong C. Park

CoRR, 2024

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, Jong C. Park

CoRR, 2024

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity.

Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park

CoRR, 2024

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity.

Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong Park

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.

Huije Lee, Hoyun Song, Jisu Shin, Sukmin Cho, SeungYoon Han, Jong Park

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.

Sukmin Cho, Soyeong Jeong, Jeongyeon Seo, Taeho Hwang, Jong Park

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Test-Time Self-Adaptive Small Language Models for Question Answering.

Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park

CoRR, 2023

Test-Time Self-Adaptive Small Language Models for Question Answering.

Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong Park

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.

Sukmin Cho, Jeongyeon Seo, Soyeong Jeong, Jong C. Park

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker.

Sukmin Cho, Soyeong Jeong, Jeongyeon Seo, Jong C. Park

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Non-Autoregressive Sign Language Production via Knowledge Distillation.

Eui Jun Hwang, Jung-Ho Kim, Sukmin Cho, Jong C. Park

CoRR, 2022

Sign Language Production With Avatar Layering: A Critical Use Case over Rare Words.

Jung-Ho Kim, Eui Jun Hwang, Sukmin Cho, Du Hui Lee, Jong C. Park

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation.

Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Query Generation with External Knowledge for Dense Retrieval.

Sukmin Cho, Soyeong Jeong, Wonsuk Yang, Jong C. Park

Proceedings of Deep Learning Inside Out: The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2022