Seunghak Yu

36 papers A* 7A 2B 1Misc 1Journal 16Unranked 9
YearRankTypeTitle / Venue / Authors
2026 A conf
Breaking Determinism: Stochastic Modeling for Reliable Off-Policy Evaluation in Ad Auctions.
WSDM
Hongseon Yeom, Jaeyoul Shin, Soojin Min, Jeongmin Yoon, Seunghak Yu, Dongyeop Kang
2025 J jnl
Breaking Determinism: Stochastic Modeling for Reliable Off-Policy Evaluation in Ad Auctions.
CoRR
Hongseon Yeom, Jaeyoul Shin, Soojin Min, Jeongmin Yoon, Seunghak Yu, Dongyeop Kang
2023 A* conf
Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space.
CVPR
Siwon Kim, Jinoh Oh, Sungjin Lee, Seunghak Yu, Jaeyoung Do, Tara Taghavi
2023 — conf
Large-scale Lifelong Learning of In-context Instructions and How to Tackle It.
ACL (1)
Jisoo Mok, Jaeyoung Do, Sungjin Lee, Tara Taghavi, Seunghak Yu, Sungroh Yoon
2023 A* conf
Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency.
ICCV
Jungbeom Lee, Sungjin Lee, Jinseok Nam, Seunghak Yu, Jaeyoung Do, Tara Taghavi
2022 — conf
Cooperative Self-training of Machine Reading Comprehension.
NAACL-HLT
Hongyin Luo, Shang-wen Li, Mingye Gao, Seunghak Yu, James R. Glass
2021 J jnl
Cooperative Learning of Zero-Shot Machine Reading Comprehension.
CoRR
Hongyin Luo, Shang-wen Li, Seunghak Yu, James R. Glass
2021 Misc conf
Interpretable Propaganda Detection in News Articles.
RANLP
Seunghak Yu, Giovanni Da San Martino, Mitra Mohtarami, James R. Glass, Preslav Nakov
2021 J jnl
Interpretable Propaganda Detection in News Articles.
CoRR
Seunghak Yu, Giovanni Da San Martino, Mitra Mohtarami, James R. Glass, Preslav Nakov
2020 A* conf
A Survey on Computational Propaganda Detection.
IJCAI
Giovanni Da San Martino, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro, Preslav Nakov
2020 J jnl
A Survey on Computational Propaganda Detection.
CoRR
Giovanni Da San Martino, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro, Preslav Nakov
2020 J jnl
Constructing a Knowledge Graph from Unstructured Documents without External Alignment.
CoRR
Seunghak Yu, Tianxing He, James R. Glass
2020 — conf
Prta: A System to Support the Analysis of Propaganda Techniques in the News.
ACL (demo)
Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrón-Cedeño, Preslav Nakov
2020 J jnl
Prta: A System to Support the Analysis of Propaganda Techniques in the News.
CoRR
Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrón-Cedeño, Preslav Nakov
2019 J jnl
Ensemble-Based Deep Reinforcement Learning for Chatbots.
CoRR
Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Yongjin Cho, Sungja Choi, Satish Reddy Indurthi, Seunghak Yu, Hyungtak Choi, Inchul Hwang, Jihie Kim
2019 J jnl
Ensemble-based deep reinforcement learning for chatbots.
Neurocomputing
Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Yongjin Cho, Sungja Choi, Satish Reddy Indurthi, Seunghak Yu, Hyungtak Choi, Inchul Hwang, Jihie Kim
2019 J jnl
Experiments in Detecting Persuasion Techniques in the News.
CoRR
Seunghak Yu, Giovanni Da San Martino, Preslav Nakov
2019 A* conf
Factor Graph Attention.
CVPR
Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing
2019 J jnl
Factor Graph Attention.
CoRR
Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing
2019 — conf
Fine-Grained Analysis of Propaganda in News Article.
EMNLP/IJCNLP (1)
Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, Rostislav Petrov, Preslav Nakov
2019 J jnl
Fine-Grained Analysis of Propaganda in News Articles.
CoRR
Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, Rostislav Petrov, Preslav Nakov
2018 — conf
A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension.
QA@ACL
Seunghak Yu, Sathish Reddy Indurthi, Seohyun Back, Haejun Lee
2018 A* conf
Cut to the Chase: A Context Zoom-in Network for Reading Comprehension.
EMNLP
Sathish Reddy Indurthi, Seunghak Yu, Seohyun Back, Heriberto Cuayáhuitl
2018 A* conf
MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller.
EMNLP
Seohyun Back, Seunghak Yu, Sathish Reddy Indurthi, Jihie Kim, Jaegul Choo
2018 — conf
On-Device Neural Language Model Based Word Prediction.
COLING (Demos)
Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim
2018 A* conf
Supervised Clustering of Questions into Intents for Dialog System Applications.
EMNLP
Iryna Haponchyk, Antonio Uva, Seunghak Yu, Olga Uryupina, Alessandro Moschitti
2017 J jnl
An Embedded Deep Learning based Word Prediction.
CoRR
Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim
2017 A conf
Deep Reinforcement Learning of Dialogue Policies with Less Weight Updates.
INTERSPEECH
Heriberto Cuayáhuitl, Seunghak Yu
2017 B conf
Scaling up deep reinforcement learning for multi-domain dialogue systems.
IJCNN
Heriberto Cuayáhuitl, Seunghak Yu, Ashley Williamson, Jacob Carse
2017 — conf
Syllable-level Neural Language Model for Agglutinative Language.
SWCN@EMNLP
Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim
2017 J jnl
Syllable-level Neural Language Model for Agglutinative Language.
CoRR
Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim
2016 J jnl
Deep Reinforcement Learning for Multi-Domain Dialogue Systems.
CoRR
Heriberto Cuayáhuitl, Seunghak Yu, Ashley Williamson, Jacob Carse
2014 J jnl
Design of a bitmap-based QoS-aware memory controller for a packet memory.
IEICE Electron. Express
Seunghak Yu, Sungroh Yoon, Eui-Young Chung, Hyuk-Jun Lee
2014 — conf
Ensemble algorithms for DNA motif finding.
ICEIC
Juho Kim, Seunghak Yu, Sungroh Yoon
2014 — conf
Ensemble learning for robust prediction of microRNA-mRNA interactions.
BigComp
Seunghak Yu, Juho Kim, Hyeyoung Min, Sungroh Yoon
2009 J jnl
A robust peak detection method for RNA structure inference by high-throughput contact mapping.
Bioinform.
Jinkyu Kim, Seunghak Yu, Byonghyo Shim, Hanjoo Kim, Hyeyoung Min, Eui-Young Chung, Rhiju Das, Sungroh Yoon