Geunseob Oh

12 papers A* 1B 1C 1Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
Revisiting In-Context Learning with Long Context Language Models.
ACL (Findings)
Jinheon Baek, Sun Jae Lee, Prakhar Gupta, Geunseob Oh, Siddharth Dalmia, Prateek Kolhar
2024 J jnl
Revisiting In-Context Learning with Long Context Language Models.
CoRR
Jinheon Baek, Sun Jae Lee, Prakhar Gupta, Geunseob Oh, Siddharth Dalmia, Prateek Kolhar
2022 J jnl
CVAE-H: Conditionalizing Variational Autoencoders via Hypernetworks and Trajectory Forecasting for Autonomous Driving.
CoRR
Geunseob Oh, Huei Peng
2022 B conf
Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning.
COLING
Geunseob Oh, Rahul Goel, Chris Hidey, Shachi Paul, Aditya Gupta, Pararth Shah, Rushin Shah
2022 J jnl
Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning.
CoRR
Geunseob Oh, Rahul Goel, Christopher Hidey, Shachi Paul, Aditya Gupta, Pararth Shah, Rushin Shah
2022 J jnl
Vehicle Energy Dataset (VED), A Large-Scale Dataset for Vehicle Energy Consumption Research.
IEEE Trans. Intell. Transp. Syst.
Geunseob Oh, David J. LeBlanc, Huei Peng
2020 C conf
A Data-driven, Falsification-based Model of Human Driver Behavior.
ACC
Nauman Sohani, Geunseob Oh, Xinpeng Wang
2020 A* conf
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting.
CVPR
Geunseob Oh, Jean-Sébastien Valois
2019 J jnl
A Data-driven, Falsification-based Model of Human Driver Behavior.
CoRR
Nauman Sohani, Geunseob Oh, Xinpeng Wang
2019 J jnl
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting.
CoRR
Geunseob Oh, Jean-Sebastien Valois
2019 J jnl
Longitudinal Trajectory Prediction of Human-driven Vehicles Near Traffic Lights.
CoRR
Geunseob Oh, Huei Peng
2018 — conf
Eco-driving at Signalized Intersections: What is Possible in the Real-World?
ITSC
Geunseob Oh, Huei Peng