Hangyeol Yu

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 15

Top Topics

Natural Language Dialogue

Variational Inference

Interactive Question Answering

Top Venues

Proc. ACM Program. Lang.

Publications

Hangyeol Yu, Myeongho Jeong, Jamin Shin, Hyeongdon Moon, Juneyoung Park, Seungtaek Choi
Towards Zero-Shot Functional Compositionality of Language Models. CoRR (2023)
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)
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)
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 (2022)
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 (2022)
Dongmin Shin, Yugeun Shim, Hangyeol Yu, Seewoo Lee, Byungsoo Kim, Youngduck Choi
SAINT+: Integrating Temporal Features for EdNet Correctness Prediction. LAK (2021)
Byungsoo Kim, Hangyeol Yu, Dongmin Shin, Youngduck Choi
Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction. EDM (2021)
Byungsoo Kim, Hangyeol Yu, Dongmin Shin, Youngduck Choi
Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction. CoRR (2021)
Wonyeol Lee, Hangyeol Yu, Xavier Rival, Hongseok Yang
On Correctness of Automatic Differentiation for Non-Differentiable Functions. CoRR (2020)
Dongmin Shin, Yugeun Shim, Hangyeol Yu, Seewoo Lee, Byungsoo Kim, Youngduck Choi
SAINT+: Integrating Temporal Features for EdNet Correctness Prediction. CoRR (2020)
Wonyeol Lee, Hangyeol Yu, Xavier Rival, Hongseok Yang
Towards verified stochastic variational inference for probabilistic programs. Proc. ACM Program. Lang. 4 (POPL) (2020)
Wonyeol Lee, Hangyeol Yu, Xavier Rival, Hongseok Yang
On Correctness of Automatic Differentiation for Non-Differentiable Functions. NeurIPS (2020)
Wonyeol Lee, Hangyeol Yu, Xavier Rival, Hongseok Yang
Towards Verified Stochastic Variational Inference for Probabilistic Programs. CoRR (2019)
Wonyeol Lee, Hangyeol Yu, Hongseok Yang
Reparameterization Gradient for Non-differentiable Models. NeurIPS (2018)
Wonyeol Lee, Hangyeol Yu, Hongseok Yang
Reparameterization Gradient for Non-differentiable Models. CoRR (2018)