15 citations · 37 across the 6 of their papers we have counts for
6 papers
On-Off Pattern Encoding and Path-Count Encoding as Deep Neural Network Representations
Euna Jung, Jaekeol Choi, EungGu Yun +1
Understanding the encoded representation of Deep Neural Networks (DNNs) has been a fundamental yet challenging objective. In this work, we focus on two possible directions for anal…
Isotropic Representation Can Improve Dense Retrieval
Euna Jung, Jungwon Park, Jaekeol Choi +2
The recent advancement in language representation modeling has broadly affected the design of dense retrieval models. In particular, many of the high-performing dense retrieval mod…
Finding Inverse Document Frequency Information in BERT
Jaekeol Choi, Euna Jung, Sungjun Lim +1
For many decades, BM25 and its variants have been the dominant document retrieval approach, where their two underlying features are Term Frequency (TF) and Inverse Document Frequen…
Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning
Euna Jung, Jaekeol Choi, Wonjong Rhee
A BERT-based Neural Ranking Model (NRM) can be either a crossencoder or a bi-encoder. Between the two, bi-encoder is highly efficient because all the documents can be pre-processed…
Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation
Jaekeol Choi, Euna Jung, Jangwon Suh +1
BERT-based Neural Ranking Models (NRMs) can be classified according to how the query and document are encoded through BERT's self-attention layers - bi-encoder versus cross-encoder…
Interpreting Neural Ranking Models using Grad-CAM
Jaekeol Choi, Jungin Choi, Wonjong Rhee
Recently, applying deep neural networks in IR has become an important and timely topic. For instance, Neural Ranking Models(NRMs) have shown promising performance compared to the t…