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2020 – today
- 2023
[i8]Hangyeol Yu, Myeongho Jeong, Jamin Shin, Hyeongdon Moon
, Juneyoung Park, Seungtaek Choi:
Towards Zero-Shot Functional Compositionality of Language Models. CoRR abs/2303.03103 (2023)- 2022
- [c6]Jamin Shin, Hangyeol Yu, Hyeongdon Moon, Andrea Madotto, Juneyoung Park:
Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking. ACL (Findings) 2022: 3824-3846 - [c5]Hyeongdon Moon, Yoonseok Yang, Hangyeol Yu, Seunghyun Lee, Myeongho Jeong, Juneyoung Park, Jamin Shin, Minsam Kim, Seungtaek Choi:
Evaluating the Knowledge Dependency of Questions. EMNLP 2022: 10512-10526 - [i7]Jamin Shin, Hangyeol Yu, Hyeongdon Moon, Andrea Madotto, Juneyoung Park:
Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking. CoRR abs/2203.01552 (2022) - [i6]Hyeongdon Moon, Yoonseok Yang, Jamin Shin, Hangyeol Yu, Seunghyun Lee, Myeongho Jeong, Juneyoung Park, Minsam Kim, Seungtaek Choi:
Evaluating the Knowledge Dependency of Questions. CoRR abs/2211.11902 (2022) - 2021
- [c4]Byungsoo Kim, Hangyeol Yu, Dongmin Shin, Youngduck Choi:
Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction. EDM 2021 - [c3]Dongmin Shin, Yugeun Shim, Hangyeol Yu, Seewoo Lee, Byungsoo Kim, Youngduck Choi:
SAINT+: Integrating Temporal Features for EdNet Correctness Prediction. LAK 2021: 490-496 - [i5]Byungsoo Kim, Hangyeol Yu, Dongmin Shin, Youngduck Choi:
Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction. CoRR abs/2107.04009 (2021) - 2020
- [j1]Wonyeol Lee, Hangyeol Yu, Xavier Rival, Hongseok Yang:
Towards verified stochastic variational inference for probabilistic programs. Proc. ACM Program. Lang. 4(POPL): 16:1-16:33 (2020) - [c2]Wonyeol Lee, Hangyeol Yu, Xavier Rival, Hongseok Yang:
On Correctness of Automatic Differentiation for Non-Differentiable Functions. NeurIPS 2020 - [i4]Wonyeol Lee, Hangyeol Yu, Xavier Rival, Hongseok Yang:
On Correctness of Automatic Differentiation for Non-Differentiable Functions. CoRR abs/2006.06903 (2020) - [i3]Dongmin Shin, Yugeun Shim, Hangyeol Yu, Seewoo Lee, Byungsoo Kim, Youngduck Choi:
SAINT+: Integrating Temporal Features for EdNet Correctness Prediction. CoRR abs/2010.12042 (2020)
2010 – 2019
- 2019
- [i2]Wonyeol Lee, Hangyeol Yu, Xavier Rival, Hongseok Yang:
Towards Verified Stochastic Variational Inference for Probabilistic Programs. CoRR abs/1907.08827 (2019) - 2018
- [c1]Wonyeol Lee, Hangyeol Yu, Hongseok Yang:
Reparameterization Gradient for Non-differentiable Models. NeurIPS 2018: 5558-5568 - [i1]Wonyeol Lee, Hangyeol Yu, Hongseok Yang:
Reparameterization Gradient for Non-differentiable Models. CoRR abs/1806.00176 (2018)
Coauthor Index
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