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Journal Articles
- 2024
[j2]Jaekeol Choi:
Binary or Graded, Few-Shot or Zero-Shot: Prompt Design for GPTs in Relevance Evaluation. Adv. Artif. Intell. Mach. Learn. 4(3): 2687-2702 (2024)- 2020
- [j1]Jaekeol Choi, Sang-Woong Lee
:
Improving FastText with inverse document frequency of subwords. Pattern Recognit. Lett. 133: 165-172 (2020)
Conference and Workshop Papers
- 2023
- [c3]Euna Jung, Jungwon Park, Jaekeol Choi, Sungyoon Kim, Wonjong Rhee:
Isotropic Representation Can Improve Dense Retrieval. PAKDD (3) 2023: 125-137 - 2022
- [c2]Euna Jung, Jaekeol Choi, Wonjong Rhee:
Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning. WWW 2022: 502-511 - 2021
- [c1]Jaekeol Choi, Euna Jung, Jangwon Suh, Wonjong Rhee:
Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation. SIGIR 2021: 2192-2196
Informal and Other Publications
- 2024
- [i7]Euna Jung, Jaekeol Choi, EungGu Yun, Wonjong Rhee:
On-Off Pattern Encoding and Path-Count Encoding as Deep Neural Network Representations. CoRR abs/2401.09518 (2024) - [i6]Jaekeol Choi:
Identifying Key Terms in Prompts for Relevance Evaluation with GPT Models. CoRR abs/2405.06931 (2024) - 2022
- [i5]Jaekeol Choi, Euna Jung, Sungjun Lim, Wonjong Rhee:
Finding Inverse Document Frequency Information in BERT. CoRR abs/2202.12191 (2022) - [i4]Euna Jung, Jungwon Park, Jaekeol Choi, Sungyoon Kim, Wonjong Rhee:
Isotropic Representation Can Improve Dense Retrieval. CoRR abs/2209.00218 (2022) - 2021
- [i3]Jaekeol Choi, Euna Jung, Jangwon Suh, Wonjong Rhee:
Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation. CoRR abs/2103.06523 (2021) - [i2]Euna Jung, Jaekeol Choi, Wonjong Rhee:
Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning. CoRR abs/2110.14943 (2021) - 2020
- [i1]Jaekeol Choi, Jungin Choi, Wonjong Rhee:
Interpreting Neural Ranking Models using Grad-CAM. CoRR abs/2005.05768 (2020)
Coauthor Index
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