Shuyue Hu
20 papers · 2017–2026 · 6 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(16)
Core AI
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Machine Learning
(7)
Reinforcement Learning
(7)
Methods
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Deep Learning
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Core Methods
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Learning Types · Machine Learning
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Optimization & Theory
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Mathematics & Optimization
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Optimization
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Natural Language Processing
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Keywords
large language model
(7)
multi-agent system
(6)
game theory
(3)
model selection
(2)
repeated sampling
(2)
model routing
(2)
reinforcement learning
(2)
multi-agent q-learning
(2)
evolutionary dynamics
(2)
fokker-planck equation
(2)
model merging
(1)
exploration exploitation
(1)
multi-agent learning
(1)
signal-to-noise ratio
(1)
incomplete information
(1)
in-context learning
(1)
bregman divergence
(1)
stochastic differential equation
(1)
regret minimization
(1)
learning dynamics
(1)
Papers
Adaptive Theory of Mind for LLM-based Multi-Agent Coordination
AAAI 2026
A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement
ACL 2026
Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute
AAAI 2026
ICL-Router: In-Context Learned Model Representations for LLM Routing
AAAI 2026
MTRouter: Cost-Aware Multi-Turn LLM Routing with History–Model Joint Embeddings
ACL 2026
Nature-Inspired Population-Based Evolution of Large Language Models
ACL 2026
The Avengers: A Routing Recipe for Collective Intelligence in Language Models
AAAI 2026
Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models
ICML 2025
Reinforcement Learning for Large Language Models via Group Preference Reward Shaping
EMNLP 2025
A Successful Strategy for Multichannel Iterated Prisoner’s Dilemma
IJCAI 2024
Configurable Mirror Descent: Towards a Unification of Decision Making
ICML 2024
Emergence of Social Norms in Generative Agent Societies: Principles and Architecture
IJCAI 2024
A Pair-Approximation Method for Modelling the Dynamics of Multi-Agent Stochastic Games
AAAI 2023
Emergence of Punishment in Social Dilemma with Environmental Feedback
AAAI 2023
The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium
NeurIPS 2023
A Formal Model for Multiagent Q-Learning Dynamics on Regular Graphs
IJCAI 2022
Modelling the Dynamics of Multi-Agent Q-learning: The Stochastic Effects of Local Interaction and Incomplete Information
IJCAI 2022
Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach
IJCAI 2022
Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach
NeurIPS 2019
Achieving Coordination in Multi-Agent Systems by Stable Local Conventions under Community Networks
IJCAI 2017