20 citations · 39 across the 7 of their papers we have counts for
8 papers
DiaTool-DPO: Multi-Turn Direct Preference Optimization for Tool-Augmented Large Language Models
Sunghee Jung, Donghun Lee, Shinbok Lee +7
Tool-Augmented Larage Language Models (TA-LLMs) have shown promise in real-world applications, but face challenges in handling incomplete queries and out-of-scope requests. While e…
Kanana: Compute-efficient Bilingual Language Models
Kanana LLM Team, Yunju Bak, Hojin Lee +26
We introduce Kanana, a series of bilingual language models that demonstrate exceeding performance in Korean and competitive performance in English. The computational cost of Kanana…
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…
OutFlip: Generating Out-of-Domain Samples for Unknown Intent Detection with Natural Language Attack
DongHyun Choi, Myeong Cheol Shin, EungGyun Kim +1
Out-of-domain (OOD) input detection is vital in a task-oriented dialogue system since the acceptance of unsupported inputs could lead to an incorrect response of the system. This p…
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…
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…
Integrated Eojeol Embedding for Erroneous Sentence Classification in Korean Chatbots
DongHyun Choi, IlNam Park, Myeong Cheol Shin +2
This paper attempts to analyze the Korean sentence classification system for a chatbot. Sentence classification is the task of classifying an input sentence based on predefined cat…
RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain Databases
DongHyun Choi, Myeong Cheol Shin, EungGyun Kim +1
Text-to-SQL is the problem of converting a user question into an SQL query, when the question and database are given. In this paper, we present a neural network approach called RYA…