Yingcong Li
10 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (33) π€ Dynamic Duo (10)
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Keyword Collector
(50)
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Century Club Β· Bronze
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Prolific Year Β· Productive
Venues
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(8)
Artificial Intelligence
(7)
Optimization & Theory
(6)
Architectures
(5)
Core AI
(5)
Learning Types Β· Machine Learning
(5)
Learning Paradigms
(4)
Natural Language Processing
(2)
Core Methods
(2)
Generation
(2)
Learning Types Β· Deep Learning
(2)
Mathematics & Optimization
(1)
Application Areas
(1)
Mathematics
(1)
Keywords
in-context learning
(4)
gradient descent
(3)
multi-task learning
(2)
attention mechanism
(2)
generalization bound
(2)
neural network
(2)
model pruning
(1)
sparse learning
(1)
double descent
(1)
hierarchical clustering
(1)
feature correlation
(1)
stability analysis
(1)
sample complexity
(1)
feature learning
(1)
support vector machine
(1)
markov model
(1)
projected gradient descent
(1)
token selection
(1)
sparse model
(1)
representation learning
(1)
Papers
Provable Benefits of Task-Specific Prompts for In-context Learning
AISTATS 2025
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond
NeurIPS 2024
From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers
ICML 2024
Mechanics of Next Token Prediction with Self-Attention
AISTATS 2024
Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning
NeurIPS 2023
Max-Margin Token Selection in Attention Mechanism
NeurIPS 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths
AAAI 2023
Stochastic Contextual Bandits with Long Horizon Rewards
AAAI 2023
Transformers as Algorithms: Generalization and Stability in In-context Learning
ICML 2023
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks
AAAI 2021