Michael Chen
9 papers · 2018–2026 · 8 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird
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Research topics
Machine Learning
(7)
Artificial Intelligence
(6)
Core AI
(6)
Optimization & Theory
(4)
Natural Language Processing
(3)
Learning Types
(3)
Application Areas
(2)
Applications
(2)
Core Methods
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Methods
(1)
Models
(1)
Optimization
(1)
Keywords
language model
(3)
multi-armed bandit
(2)
large language model
(2)
sample complexity
(1)
parallel optimization
(1)
best arm identification
(1)
distributed training
(1)
regret bound
(1)
delayed feedback
(1)
lower bound
(1)
scaling law
(1)
human-ai collaboration
(1)
human expert
(1)
linear bandit
(1)
pre-trained model
(1)
resource allocation
(1)
model scaling
(1)
downstream performance
(1)
commonsense reasoning
(1)
data annotation
(1)
Papers
Potato 2.0: A Comprehensive Annotation Platform with AI-in-the-Loop Support
ACL 2026
Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions
EMNLP 2025
RE-Bench: Evaluating Frontier AI R&D Capabilities of Language Model Agents against Human Experts
ICML 2025
Regret-Optimal List Replicable Bandit Learning: Matching Upper and Lower Bounds
ICLR 2025
MAST: Global Scheduling of ML Training across Geo-Distributed Datacenters at Hyperscale
OSDI 2024
The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning
ICML 2024
CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense
NAACL 2019
Best arm identification in multi-armed bandits with delayed feedback
AISTATS 2018
Depression Detection from Short Utterances via Diverse Smartphones in Natural Environmental Conditions
Interspeech 2018