Geunseob Oh
3 papers · 2020–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(14)
Venues
Top co-authors
Research topics
Artificial Intelligence
(3)
Deep Learning
(3)
Machine Learning
(3)
Learning Types · Machine Learning
(3)
Natural Language Processing
(2)
Core AI
(2)
Generation
(2)
Models
(2)
Computer Vision
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Domain-Specific
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Resources & Methods
(1)
Keywords
few-shot learning
(1)
density estimation
(1)
data augmentation
(1)
in-context learning
(1)
semantic parsing
(1)
random sampling
(1)
language model
(1)
probabilistic forecasting
(1)
beam search
(1)
long context
(1)
autoregressive flow
(1)
non-autoregressive decoding
(1)
example selection
(1)
long-context language model
(1)
virtual assistant
(1)
intent conditioning
(1)
top-k decoding
(1)
self-driving vehicle
(1)
occupancy forecasting
(1)
occupancy map
(1)
Papers
Revisiting In-Context Learning with Long Context Language Models
ACL 2025
Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning
COLING 2022
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting
CVPR 2020