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김현우 교수

Hyunwoo Kim

KAIST 김재철AI대학원 · 컴퓨터과학

연구실 소개

김현우 교수의 연구실은 자연어 처리와 두뇌 기반 언어 이해를 융합한 인지적 대화 시스템 개발에 초점을 맞추고 있습니다. 특히 공감 능력 향상을 위한 감정 원인 탐지, 대화에서의 사회적 규범 준수 능력 향상, 그리고 어휘·구문 복잡성과 관련된 어학 능력 발달 메커니즘을 탐구합니다. 연구는 인간의 사회적 인지 원리와 언어 사용 패턴을 기반으로 한 대화 시스템의 지능적 반응 설계를 목표로 합니다.

공감 대화감정 원인 탐지사회적 규범어휘·구문 복잡성어학 능력 발달

연구 현황

논문 수
248
총 인용 수
2,591
최근 5년 논문
96
주요 분야
컴퓨터과학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
96총합
2022
2023
2024
2025
2026
5개년 연도별 피인용 수
329총합
20222023202420252026

주요 논문

15
1
논문|인용수 57·2021
Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes
Hyunwoo Kim, Byeongchang Kim, Gunhee Kim
Proceedings of the 2021 Conference on Empirical Methods in Natural Language ProcessingOA

Empathy is a complex cognitive ability based on the reasoning of others' affective states. In order to better understand others and express stronger empathy in dialogues, we argue that two issues must be tackled at the same time: (i) identifying which word is the cause for the other's emotion from his or her utterance and (ii) reflecting those specific words in the response generation. However, previous approaches for recognizing emotion cause words in text require sub-utterance level annotation

Artificial IntelligenceComputer Science
2
논문|인용수 57·2023
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization
Hyunwoo Kim, Jack Hessel, Liwei Jiang, Peter West, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi
OA

Hyunwoo Kim, Jack Hessel, Liwei Jiang, Peter West, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.

Artificial IntelligenceComputer Science
3
논문|인용수 55·2010
Dynamic bandwidth provisioning using ARIMA-based traffic forecasting for Mobile WiMAX
Hyunwoo Kim, Jun-Hui Lee, Yonghoon Choi, Young-uk Chung, Hyukjoon Lee
SJR Q1Computer Communications
Computer Networks and CommunicationsComputer Science
4
논문|인용수 42·2022
ProsocialDialog: A Prosocial Backbone for Conversational Agents
Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap
OA

Most existing dialogue systems fail to respond properly to potentially unsafe user utterances by either ignoring or passively agreeing with them. To address this issue, we introduce ProsocialDialog, the first large-scale multi-turn dialogue dataset to teach conversational agents to respond to problematic content following social norms. Covering diverse unethical, problematic, biased, and toxic situations, ProsocialDialog contains responses that encourage prosocial behavior, grounded in commonsen

Artificial IntelligenceComputer Science
5
논문|인용수 41·2020
PREDICTIVE PROCESSING OF IMPLICIT CAUSALITY IN A SECOND LANGUAGE
Hyunwoo Kim, Theres Grüter
SJR Q1Studies in Second Language Acquisition

Abstract Implicit causality (IC) is a well-known phenomenon whereby certain verbs appear to create biases to remention either their subject or object in a causal dependent clause. This study investigated to what extent Korean learners of English made use of IC information for predictive processing at a discourse level, and whether L2 proficiency played a modulating role in this process. Results from a visual-world eye-tracking experiment showed early use of IC information in both L1 and L2 liste

Cognitive NeuroscienceNeuroscience
6
논문|인용수 32·2020
Effects of Written Versus Spoken Production Modalities on Syntactic Complexity Measures in Beginning‐Level Child EFL Learners
Haerim Hwang, Hye-Young Jung, Hyunwoo Kim
SJR Q1Modern Language Journal

Abstract Learner corpus studies using syntactic complexity as a construct for characterizing learner proficiency have found that higher proficiency permits learners to produce more complex syntactic structures. However, the majority of previous studies have focused on writing, almost exclusively with adult second language (L2) learners. Given the fundamentally different mechanisms underlying speaking and writing activities, this study investigated (a) how different processes involved in writing

Developmental and Educational PsychologyPsychology
7
논문|인용수 26·2022
Automatic Analysis of Constructional Diversity as a Predictor of EFL Students’ Writing Proficiency
Haerim Hwang, Hyunwoo Kim
SJR Q1Applied Linguistics

Abstract One of the important components in second language (L2) development is to produce clause-level units of form–meaning pairings or argument structure constructions. Based on the usage-based constructionist approach that language development entails an ability to use more diverse, more complex, and less frequent constructions, this study tested whether constructional diversity and complexity predict L2 learners’ writing proficiency. Using a natural language processing tool called the Const

Artificial IntelligenceComputer Science
8
논문|인용수 23·2020
INTEGRATION OF VERBAL AND CONSTRUCTIONAL INFORMATION IN THE SECOND LANGUAGE PROCESSING OF ENGLISH DATIVE CONSTRUCTIONS
Hyunwoo Kim, Gyu‐Ho Shin, Haerim Hwang
SJR Q1Studies in Second Language Acquisition

Abstract This study investigated the effects of construction types on Korean-L1 English-L2 learners’ verb–construction integration in online processing by presenting the ditransitive and prepositional dative constructions and manipulating the verb’s association strength within these constructions. Results of a self-paced reading experiment showed that the L2 group spent longer times in the verb–construction integration in the postverbal complement region when processing the ditransitive construc

Cognitive NeuroscienceNeuroscience
9
논문|인용수 19·2017
Construction-based approach to teaching the English resultative construction to Korean EFL learners
Yangon Rah, Hyunwoo Kim
SJR Q1System
Language and LinguisticsArts and Humanities
10
논문|인용수 17·2023
FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions
Hyunwoo Kim, Melanie Sclar, Xuhui Zhou, Ronan Le Bras, Gunhee Kim, Yejin Choi, Maarten Sap
OA

Theory of mind (ToM) evaluations currently focus on testing models using passive narratives that inherently lack interactivity. We introduce FANToM, a new benchmark designed to stress-test ToM within information-asymmetric conversational contexts via question answering. Our benchmark draws upon important theoretical requisites from psychology and necessary empirical considerations when evaluating large language models (LLMs). In particular, we formulate multiple types of questions that demand th

Artificial IntelligenceComputer Science
11
논문|인용수 16·2016
Effects of Verb Semantics and Proficiency in Second Language Use of Constructional Knowledge
Hyunwoo Kim, Yangon Rah
SJR Q1Modern Language Journal

This study investigates the influence of the semantic heaviness of verbs (i.e., heavy or light verbs) and language proficiency on second language (L2) learners’ use of constructional information in a sentence‐sorting task and a corpus analysis. Previous studies employing a sentence‐sorting task demonstrated that advanced L2 learners sorted English sentences according to argument structure constructions rather than lexical verbs. However, these studies collapsed both heavy (e.g., cut, throw ) and

Developmental and Educational PsychologyPsychology
12
논문|인용수 15·2018
Cross-linguistic activation of implicit causality biases in Korean learners of English
Hyunwoo Kim, Theres Grüter
SJR Q1Bilingualism Language and CognitionOA

This study investigates how the strength of referential biases associated with implicit vs explicit causality predicates in Korean affects Korean-speaking learners’ reference choices in English. Sentence-completion experiments with Korean (Experiment 1a) and English (1b) native speakers showed that Korean speakers referred to the subject more following predicates with explicit vs implicit causality marking, whereas English speakers showed no difference in referential bias for the English transla

Cognitive NeuroscienceNeuroscience
13
논문|인용수 14·2022
Sequential bilingual heritage children's L1 attrition in lexical retrieval: Age of acquisition versus language experience
Kitaek Kim, Hyunwoo Kim
SJR Q1Bilingualism Language and CognitionOA

Abstract This study investigated the unresolved issue of potential sources of heritage language attrition. To test contributing effects of three learner variables – age of second language acquisition, length of residence, and language input – on heritage children's lexical retrieval accuracy and speed, we conducted a real-time word naming task with 68 children (age 11–14 years) living in South Korea who spoke either Chinese or Russian as a heritage language. Results of regression analyses showed

Cognitive NeuroscienceNeuroscience
14
논문|인용수 14·2007
Induction of apoptosis signal-regulating kinase 1 and oxidative stress mediate age-dependent vulnerability to 3-nitropropionic acid in the mouse striatum
Yang‐Ki Minn, Kyoungjoo Cho, Hyunwoo Kim, Hyun‐Jeong Kim, Seung‐Han Suk, Byung I. Lee, Gyung Whan Kim
SJR Q2Neuroscience LettersOA
Cellular and Molecular NeuroscienceNeuroscience
15
논문|인용수 14·2009
The adenoviral vector-mediated increase in apurinic/apyrimidinic endonuclease inhibits the induction of neuronal cell death after transient ischemic stroke in mice
Hyunwoo Kim, Kyoungjoo Cho, Soo-Chul Park, Hyun‐Jeong Kim, Gyung Whan Kim
SJR Q2Brain ResearchOA
Molecular BiologyBiochemistry, Genetics and Molecular Biology

대표 연구 분야

Artificial IntelligenceComputer Networks and CommunicationsCognitive NeuroscienceSociology and Political ScienceDevelopmental and Educational PsychologyLanguage and Linguistics

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