Seunghak Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
11
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WSDM | Breaking Determinism: Stochastic Modeling for Reliable Off-Policy Evaluation in Ad Auctions. | Hongseon Yeom, Jaeyoul Shin, Soojin Min, Jeongmin Yoon, Seunghak Yu, Dongyeop Kang |
| 2023 | ACL | Large-scale Lifelong Learning of In-context Instructions and How to Tackle It. | Jisoo Mok, Jaeyoung Do, Sungjin Lee, Tara Taghavi, Seunghak Yu, Sungroh Yoon |
| 2023 | CVPR | Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space. | Siwon Kim, Jinoh Oh, Sungjin Lee, Seunghak Yu, Jaeyoung Do, Tara Taghavi |
| 2023 | ICCV | Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency. | Jungbeom Lee, Sungjin Lee, Jinseok Nam, Seunghak Yu, Jaeyoung Do, Tara Taghavi |
| 2022 | NAACL | Cooperative Self-training of Machine Reading Comprehension. | Hongyin Luo, Shang-Wen Li, Mingye Gao, Seunghak Yu, James R. Glass |
| 2021 | RANLP | Interpretable Propaganda Detection in News Articles. | Seunghak Yu, Giovanni Da San Martino, Mitra Mohtarami, James R. Glass, Preslav Nakov |
| 2020 | ACL | Prta: A System to Support the Analysis of Propaganda Techniques in the News. | Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrn-Cedeo, Preslav Nakov |
| 2020 | IJCAI | A Survey on Computational Propaganda Detection. | Giovanni Da San Martino, Stefano Cresci, Alberto Barrn-Cedeo, Seunghak Yu, Roberto Di Pietro, Preslav Nakov |
| 2019 | CVPR | Factor Graph Attention. | Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing |
| 2019 | EMNLP | Fine-Grained Analysis of Propaganda in News Article. | Giovanni Da San Martino, Seunghak Yu, Alberto Barrn-Cedeo, Rostislav Petrov, Preslav Nakov |
| 2018 | ACL | A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension. | Seunghak Yu, Sathish Reddy Indurthi, Seohyun Back, Haejun Lee |
| 2018 | COLING | On-Device Neural Language Model Based Word Prediction. | Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim |
| 2018 | EMNLP | MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller. | Seohyun Back, Seunghak Yu, Sathish Reddy Indurthi, Jihie Kim, Jaegul Choo |
| 2018 | EMNLP | Supervised Clustering of Questions into Intents for Dialog System Applications. | Iryna Haponchyk, Antonio Uva, Seunghak Yu, Olga Uryupina, Alessandro Moschitti |
| 2018 | EMNLP | Cut to the Chase: A Context Zoom-in Network for Reading Comprehension. | Sathish Reddy Indurthi, Seunghak Yu, Seohyun Back, Heriberto Cuayhuitl |
| 2017 | EMNLP | Syllable-level Neural Language Model for Agglutinative Language. | Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim |
| 2017 | IJCNN | Scaling up deep reinforcement learning for multi-domain dialogue systems. | Heriberto Cuayhuitl, Seunghak Yu, Ashley Williamson, Jacob Carse |
| 2017 | Interspeech | Deep Reinforcement Learning of Dialogue Policies with Less Weight Updates. | Heriberto Cuayhuitl, Seunghak Yu |