Boyi Liu
16 papers · 2019–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Triple Crown
π€
Dynamic Duo
(13)
π§¬
Topic Evolution
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(74)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(8)
Core AI
(8)
Optimization & Theory
(8)
Reinforcement Learning
(6)
Learning Types
(6)
Methods
(6)
Deep Learning
(3)
Natural Language Processing
(3)
Architectures
(3)
Mathematics & Optimization
(2)
Applications
(2)
Core Methods
(2)
Optimization
(2)
Resources & Methods
(2)
Keywords
model-based reinforcement learning
(3)
direct preference optimization
(2)
multi-agent system
(2)
graph matching
(2)
large language model
(2)
policy gradient
(2)
neural network
(2)
function approximation
(1)
preference alignment
(1)
off-policy evaluation
(1)
graph representation learning
(1)
global convergence
(1)
primal-dual optimization
(1)
language model alignment
(1)
constrained reinforcement learning
(1)
fenchel duality
(1)
posterior distribution
(1)
markov decision process
(1)
relational reasoning
(1)
reinforcement learning from human feedback
(1)
Papers
BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning
ICML 2025
Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward
EMNLP 2025
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs
ICML 2025
Towards Database-Free Text-to-SQL Evaluation: A Graph-Based Metric for Functional Correctness
COLING 2025
Let Models Speak Ciphers: Multiagent Debate through Embeddings
ICLR 2024
Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer
NeurIPS 2024
Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents
ICML 2024
Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints
ICML 2023
Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning
JMLR 2023
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms
NeurIPS 2023
Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction
IJCAI 2022
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence
NeurIPS 2022
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL
NeurIPS 2022
BooVI: Provably Efficient Bootstrapped Value Iteration
NeurIPS 2021
Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy
NeurIPS 2019
Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy
ICLR 2019