24 citations · 48 across the 7 of their papers we have counts for
8 papers · 1 filter
CUE-M: Contextual Understanding and Enhanced Search with Multimodal Large Language Model
Dongyoung Go, Taesun Whang, Chanhee Lee +6
The integration of Retrieval-Augmented Generation (RAG) with Multimodal Large Language Models (MLLMs) has revolutionized information retrieval and expanded the practical applicatio…
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.…
Deep Context- and Relation-Aware Learning for Aspect-based Sentiment Analysis
Shinhyeok Oh, Dongyub Lee, Taesun Whang +4
Existing works for aspect-based sentiment analysis (ABSA) have adopted a unified approach, which allows the interactive relations among subtasks. However, we observe that these met…
Auxiliary Sequence Labeling Tasks for Disfluency Detection
Dongyub Lee, Byeongil Ko, Myeong Cheol Shin +5
Detecting disfluencies in spontaneous speech is an important preprocessing step in natural language processing and speech recognition applications. Existing works for disfluency de…
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…
Reference and Document Aware Semantic Evaluation Methods for Korean Language Summarization
Dongyub Lee, Myeongcheol Shin, Taesun Whang +5
Text summarization refers to the process that generates a shorter form of text from the source document preserving salient information. Many existing works for text summarization a…
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…
EmotionX-KU: BERT-Max based Contextual Emotion Classifier
Kisu Yang, Dongyub Lee, Taesun Whang +2
We propose a contextual emotion classifier based on a transferable language model and dynamic max pooling, which predicts the emotion of each utterance in a dialogue. A representat…