Kevin Li
12 papers · 2021–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (11) π Renaissance Researcher (5) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (20)
π
Conference Polyglot
(10)
π
Grand Slam
β‘
Prolific Year
(5)
π
Century Club
(12)
Conferences
NIPS (2)
SEMEVAL (2)
AAAI (1)
ACL (1)
AISTATS (1)
CONLL (1)
ICLR (1)
ICML (1)
IJCAI (1)
NAACL (1)
Top co-authors
Research topics
Keywords
text classification
(4)
transformer model
(3)
reinforcement learning
(2)
encoder embedding
(2)
ridge regression
(2)
ensemble learning
(2)
uncertainty quantification
(1)
gaussian process
(1)
image generation
(1)
class imbalance
(1)
data efficiency
(1)
gaussian process regression
(1)
reward learning
(1)
generative model
(1)
kernel approximation
(1)
curriculum masking
(1)
uncertainty estimation
(1)
normalized maximum likelihood
(1)
diffusion model
(1)
authorship attribution
(1)
Papers
Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters
ICLR 2025
Team MLab at SemEval-2024 Task 8: Analyzing Encoder Embeddings for Detecting LLM-generated Text
SEMEVAL 2024
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression
AISTATS 2024
Using Curriculum Masking Based on Child Language Development to Train a Large Language Model with Limited Training Data
CONLL 2024
Interactive Visual Learning for Stable Diffusion
IJCAI 2024
Team MLab at SemEval-2024 Task 8: Analyzing Encoder Embeddings for Detecting LLM-generated Text
NAACL 2024
Self-Predictive Universal AI
NIPS 2023
Evaluating Robustness of Vision Transformers on Imbalanced Datasets (Student Abstract)
AAAI 2023
Francis Bacon at SemEval-2023 Task 4: Ensembling BERT and GloVe for Value Identification in Arguments
ACL 2023
Francis Bacon at SemEval-2023 Task 4: Ensembling BERT and GloVe for Value Identification in Arguments
SEMEVAL 2023
Bounded rationality in structured density estimation
NIPS 2023
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
ICML 2021