Reparameterization Gradient for Non-differentiable Models. - Wonyeol Lee 001; Hangyeol Yu; Hongseok Yang (NeurIPS, 2018)

On Correctness of Automatic Differentiation for Non-Differentiable Functions. - Wonyeol Lee 001; Hangyeol Yu; Xavier Rival; Hongseok Yang (NeurIPS, 2020)

Towards verified stochastic variational inference for probabilistic programs. - Wonyeol Lee 001; Hangyeol Yu; Xavier Rival; Hongseok Yang (Proc. ACM Program. Lang., 2020)

Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction. - Byungsoo Kim 002; Hangyeol Yu; Dongmin Shin; Youngduck Choi (EDM, 2021)

SAINT+: Integrating Temporal Features for EdNet Correctness Prediction. - Dongmin Shin; Yugeun Shim; Hangyeol Yu; Seewoo Lee; Byungsoo Kim 002; Youngduck Choi (LAK, 2021)

Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking. - Jamin Shin; Hangyeol Yu; Hyeongdon Moon; Andrea Madotto; Juneyoung Park (ACL (Findings), 2022)

Evaluating the Knowledge Dependency of Questions. - Hyeongdon Moon; Yoonseok Yang; Hangyeol Yu; Seunghyun Lee; Myeongho Jeong; Juneyoung Park; Jamin Shin; Minsam Kim; Seungtaek Choi (EMNLP, 2022)

Towards Zero-Shot Functional Compositionality of Language Models. - Hangyeol Yu; Myeongho Jeong; Jamin Shin; Hyeongdon Moon; Juneyoung Park; Seungtaek Choi (CoRR, 2023)