Dehan Kong
7 papers · 2018–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (5) π£ Hot Topic Early Bird
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(26)
Conferences
ACL (2)
EMNLP (2)
JMLR (2)
AISTATS (1)
Top co-authors
Keywords
robustness evaluation
(2)
nonparametric regression
(2)
adversarial robustness
(1)
black-box optimization
(1)
principal component analysis
(1)
natural language processing
(1)
in-context learning
(1)
high-dimensional regression
(1)
prompt engineering
(1)
offensive language detection
(1)
minimax optimization
(1)
outlier detection
(1)
cross validation
(1)
multiple instance learning
(1)
attention mechanism
(1)
variable selection
(1)
minimax theory
(1)
bag-level labels
(1)
robust estimation
(1)
zero-shot learning
(1)
Papers
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning
ACL 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
ACL 2023
Adversarial Text Generation by Search and Learning
EMNLP 2023
Multiple Instance Learning for Offensive Language Detection
EMNLP 2022
Nonparametric Principal Subspace Regression
JMLR 2022
Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model
JMLR 2021
Outlier Detection and Robust Estimation in Nonparametric Regression
AISTATS 2018