(incoming) ML Engineer at Karrot
location_on Seoul, KoreaHello! I am a machine learning researcher with previous experience in quantitative trading (2.5 years) and natural language processing (6 years). I obtained PhD in CSE from Seoul National University where I was advised by Prof. Gunhee Kim and supported by Google PhD Fellowship and NAVER PhD Fellowship.
Perspective-Taking and Pragmatics for Generating Empathetic Responses
Focused on Emotion Causes
Hyunwoo Kim, Byeongchang Kim and Gunhee Kim
EMNLP 2021
How Robust are Fact Checking Systems on Colloquial Claims?
Byeongchang Kim*, Hyunwoo Kim*, Seokhee Hong and Gunhee Kim
NAACL-HLT 2021
(also at ICLR 2021 Neural Conversational AI (NeuCAIR) Workshop)
[code/dataset]
Will I Sound Like Me? Improving Persona Consistency in Dialogues through
Pragmatic Self-Consciousness
Hyunwoo Kim, Byeongchang Kim and Gunhee Kim
EMNLP 2020
(also at ICLR 2020 Bridging AI and Cognitive Science (BAICS) Workshop (oral))
[code]
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue
Byeongchang Kim, Jaewoo Ahn and Gunhee Kim
ICLR 2020 (spotlight)
[OpenReview]
[code/dataset]
[slide]
AudioCaps: Generating Captions for Audios in The Wild
Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee and Gunhee Kim
NAACL-HLT 2019 (oral)
Project Page [code/dataset]
Abstractive Summarization of Reddit Posts with Multi-level Memory Networks
Byeongchang Kim, Hyunwoo Kim and Gunhee Kim
NAACL-HLT 2019 (oral)
[code/dataset]
[slide]
Towards Personalized Image Captioning via Multimodal Memory Networks
Cesc Chunseong Park, Byeongchang Kim and Gunhee Kim
IEEE TPAMI 2018
[code/dataset]
[slide]
Attend to you: Personalized Image Captioning with Context Sequence Memory Networks
Cesc Chunseong Park, Byeongchang Kim and Gunhee Kim
CVPR 2017 (spotlight)
[code/dataset]
[slide]
[poster]