11 citations · 19 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…
FunctionChat-Bench: Comprehensive Evaluation of Language Models' Generative Capabilities in Korean Tool-use Dialogs
Shinbok Lee, Gaeun Seo, Daniel Lee +3
This study investigates language models' generative capabilities in tool-use dialogs. We categorize the models' outputs in tool-use dialogs into four distinct types: Tool Call, Ans…
LittleBird: Efficient Faster & Longer Transformer for Question Answering
Minchul Lee, Kijong Han, Myeong Cheol Shin
BERT has shown a lot of sucess in a wide variety of NLP tasks. But it has a limitation dealing with long inputs due to its attention mechanism. Longformer, ETC and BigBird addresse…
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…