Interpreting Neural Ranking Models using Grad-CAM. - Jaekeol Choi; Jungin Choi; Wonjong Rhee (CoRR, 2020)

Improving FastText with inverse document frequency of subwords. - Jaekeol Choi; Sang-Woong Lee 001 (Pattern Recognit. Lett., 2020)

Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation. - Jaekeol Choi; Euna Jung; Jangwon Suh; Wonjong Rhee (SIGIR, 2021)

Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning. - Euna Jung; Jaekeol Choi; Wonjong Rhee (WWW, 2022)

Finding Inverse Document Frequency Information in BERT. - Jaekeol Choi; Euna Jung; Sungjun Lim; Wonjong Rhee (CoRR, 2022)

Isotropic Representation Can Improve Dense Retrieval. - Euna Jung; Jungwon Park; Jaekeol Choi; Sungyoon Kim; Wonjong Rhee (PAKDD (3), 2023)

Binary or Graded, Few-Shot or Zero-Shot: Prompt Design for GPTs in Relevance Evaluation. - Jaekeol Choi (Adv. Artif. Intell. Mach. Learn., 2024)

On-Off Pattern Encoding and Path-Count Encoding as Deep Neural Network Representations. - Euna Jung; Jaekeol Choi; EungGu Yun; Wonjong Rhee (CoRR, 2024)

Identifying Key Terms in Prompts for Relevance Evaluation with GPT Models. - Jaekeol Choi (CoRR, 2024)