Justin Chen
17 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(11)
Artificial Intelligence
(10)
Core AI
(10)
Mathematics & Optimization
(5)
Core Methods
(5)
Optimization & Theory
(5)
Computer Science
(4)
Foundations
(4)
Optimization
(4)
Deep Learning
(3)
Application Areas
(3)
Natural Language Processing
(2)
Generation
(2)
Learning Types
(2)
Computer Vision
(1)
Keywords
large language model
(4)
multi-agent system
(3)
reward modeling
(1)
knowledge distillation
(1)
question answering
(1)
multimodal learning
(1)
sample complexity
(1)
linear regression
(1)
visual reasoning
(1)
neural network optimization
(1)
iterative refinement
(1)
worst-case analysis
(1)
statistical estimation
(1)
machine learning
(1)
weisfeiler-lehman test
(1)
bipartite matching
(1)
approximation error
(1)
expressive power
(1)
piecewise constant approximation
(1)
conformal prediction
(1)
Papers
DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning
EACL 2026
PRInTS: Reward Modeling for Long-Horizon Information Seeking
ACL 2026
Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection
ACL 2026
MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning
EMNLP 2025
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration
NAACL 2025
Reverse Thinking Makes LLMs Stronger Reasoners
NAACL 2025
System 1.x: Learning to Balance Fast and Slow Planning with Language Models
ICLR 2025
MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models
ICML 2024
ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs
ACL 2024
Constant Approximation for Individual Preference Stable Clustering
NeurIPS 2023
Improved Frequency Estimation Algorithms with and without Predictions
NeurIPS 2023
Location-Aware Visual Question Generation with Lightweight Models
EMNLP 2023
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks
NeurIPS 2022
Faster Fundamental Graph Algorithms via Learned Predictions
ICML 2022
(Optimal) Online Bipartite Matching with Degree Information
NeurIPS 2022
Streaming Algorithms for Support-Aware Histograms
ICML 2022
Worst-Case Analysis for Randomly Collected Data
NeurIPS 2020