8 citations · 13 across the 6 of their papers we have counts for
6 papers
Towards Reliable and Fluent Large Language Models: Incorporating Feedback Learning Loops in QA Systems
Dongyub Lee, Taesun Whang, Chanhee Lee +1
Large language models (LLMs) have emerged as versatile tools in various daily applications. However, they are fraught with issues that undermine their utility and trustworthiness.…
Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection
Taesun Whang, Dongyub Lee, Dongsuk Oh +4
In this paper, we study the task of selecting the optimal response given a user and system utterance history in retrieval-based multi-turn dialog systems. Recently, pre-trained lan…
Variational Reward Estimator Bottleneck: Learning Robust Reward Estimator for Multi-Domain Task-Oriented Dialog
Jeiyoon Park, Chanhee Lee, Kuekyeng Kim +1
Despite its notable success in adversarial learning approaches to multi-domain task-oriented dialog system, training the dialog policy via adversarial inverse reinforcement learnin…
An Effective Domain Adaptive Post-Training Method for BERT in Response Selection
Taesun Whang, Dongyub Lee, Chanhee Lee +3
We focus on multi-turn response selection in a retrieval-based dialog system. In this paper, we utilize the powerful pre-trained language model Bi-directional Encoder Representatio…
Character-Level Feature Extraction with Densely Connected Networks
Chanhee Lee, Young-Bum Kim, Dongyub Lee +1
Generating character-level features is an important step for achieving good results in various natural language processing tasks. To alleviate the need for human labor in generatin…
Rich Character-Level Information for Korean Morphological Analysis and Part-of-Speech Tagging
Andrew Matteson, Chanhee Lee, Young-Bum Kim +1
Due to the fact that Korean is a highly agglutinative, character-rich language, previous work on Korean morphological analysis typically employs the use of sub-character features k…