Query Generation with External Knowledge for Dense Retrieval. - Sukmin Cho; Soyeong Jeong; Wonsuk Yang; Jong C. Park (DeeLIO@ACL, 2022)

Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation. - Soyeong Jeong; Jinheon Baek; Sukmin Cho; Sung Ju Hwang; Jong C. Park (ACL (2), 2022)

Sign Language Production With Avatar Layering: A Critical Use Case over Rare Words. - Jung-Ho Kim 002; Eui Jun Hwang; Sukmin Cho; Du Hui Lee; Jong C. Park (LREC, 2022)

Non-Autoregressive Sign Language Production via Knowledge Distillation. - Eui Jun Hwang; Jung-Ho Kim 002; Sukmin Cho; Jong C. Park (CoRR, 2022)

Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker. - Sukmin Cho; Soyeong Jeong; Jeongyeon Seo; Jong C. Park (ACL (Findings), 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 (EMNLP (Findings), 2023)

Test-Time Self-Adaptive Small Language Models for Question Answering. - Soyeong Jeong; Jinheon Baek; Sukmin Cho; Sung Ju Hwang; Jong Park (EMNLP (Findings), 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)

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 (EMNLP (Findings), 2024)

Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling. - Huije Lee; Hoyun Song; Jisu Shin 001; Sukmin Cho; SeungYoon Han; Jong Park (EMNLP (Findings), 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 (NAACL-HLT, 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)

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)

Self-Knowledge Distillation for Learning Ambiguity. - Hancheol Park; Soyeong Jeong; Sukmin Cho; 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)

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)

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)

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)

Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling. - Huije Lee; Hoyun Song; Jisu Shin 001; Sukmin Cho; SeungYoon Han; Jong C. Park (CoRR, 2024)

EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation. - Taeho Hwang; Sukmin Cho; Soyeong Jeong; Hoyun Song; SeungYoon Han; Jong C. Park (ACL (Findings), 2025)

Does Rationale Quality Matter? Enhancing Mental Disorder Detection via Selective Reasoning Distillation. - Hoyun Song; Huije Lee; Jisu Shin 001; Sukmin Cho; Changgeon Ko; Jong C. Park (ACL (Findings), 2025)

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; Youngjin Kwon (NAACL (Findings), 2025)

An Efficient Gloss-Free Sign Language Translation Using Spatial Configurations and Motion Dynamics with LLMs. - Eui Jun Hwang; Sukmin Cho; Junmyeong Lee; Jong C. Park (NAACL (Long Papers), 2025)

A Spatio-Temporal Representation Learning as an Alternative to Traditional Glosses in Sign Language Translation and Production. - Eui Jun Hwang; Sukmin Cho; Huije Lee; Youngwoo Yoon; Jong C. Park (WACV, 2025)

PiLaMIM: Toward Richer Visual Representations by Integrating Pixel and Latent Masked Image Modeling. - Junmyeong Lee; Eui Jun Hwang; Sukmin Cho; Jong C. Park (CoRR, 2025)

The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation Systems. - Chanwoo Choi; Jinsoo Kim; Sukmin Cho; Soyeong Jeong; Buru Chang (CoRR, 2025)

Temporal Information Retrieval via Time-Specifier Model Merging. - SeungYoon Han; Taeho Hwang; Sukmin Cho; Soyeong Jeong; Hoyun Song; Huije Lee; Jong C. Park (CoRR, 2025)