DAEHOON GWAK
7 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer
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Hot Topic Early Bird
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Cross-Pollinator
(15)
Conferences
EMNLP (2)
ACL (1)
CORL (1)
ICCV (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
large language model
(2)
semantic segmentation
(1)
sample efficiency
(1)
domain adaptation
(1)
anomaly detection
(1)
loss landscape
(1)
time series forecasting
(1)
event forecasting
(1)
diffusion model
(1)
language model
(1)
reward model
(1)
distribution alignment
(1)
event prediction
(1)
gradient propagation
(1)
token sampling
(1)
dataset annotation
(1)
non-autoregressive generation
(1)
international relation
(1)
logit scaling
(1)
urban scene
(1)
Papers
Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs
EMNLP 2025
Uncertainty-aware Accurate Elevation Modeling for Off-road Navigation via Neural Processes
CORL 2025
Revisiting LLMs as Zero-Shot Time Series Forecasters: Small Noise Can Break Large Models
ACL 2025
Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling
EMNLP 2024
Self-Supervised Contrastive Learning for Long-term Forecasting
ICLR 2024
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning
NIPS 2023
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation
ICCV 2021