Xiyao Wang
17 papers · 2022–2026 · 8 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (38) π€ Dynamic Duo (14)
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Dynamic Duo
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The Questioner
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Keyword Collector
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Research topics
Artificial Intelligence
(10)
Reinforcement Learning
(9)
Core AI
(9)
Methods
(9)
Deep Learning
(8)
Machine Learning
(7)
Learning Types Β· Deep Learning
(6)
Learning Types Β· Machine Learning
(6)
Learning Paradigms
(3)
Models
(3)
Application Areas
(2)
Applications
(2)
Computer Vision
(1)
Robotics
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Capabilities
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Keywords
sample efficiency
(5)
model-based reinforcement learning
(4)
continuous control
(4)
vision-language model
(3)
policy learning
(2)
domain generalization
(2)
modality alignment
(2)
instruction following
(2)
large multimodal model
(2)
visual reinforcement learning
(2)
transfer learning
(1)
preference optimization
(1)
knowledge distillation
(1)
visual grounding
(1)
reinforcement learning
(1)
preference learning
(1)
reinforcement learning from human feedback
(1)
sequential decision making
(1)
benchmark evaluation
(1)
model predictive control
(1)
Papers
Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following
CVPR 2026
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data
EMNLP 2025
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
NAACL 2025
LLaVA-Critic: Learning to Evaluate Multimodal Models
CVPR 2025
Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension
ICCV 2025
World Models with Hints of Large Language Models for Goal Achieving
NAACL 2025
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
ICML 2024
Calibrated Self-Rewarding Vision Language Models
NeurIPS 2024
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
ICLR 2024
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
ICLR 2024
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences
ACL 2024
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation
EMNLP 2024
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
ICML 2024
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
NeurIPS 2023
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function
ICLR 2023
Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy
ICML 2023
Transfer RL across Observation Feature Spaces via Model-Based Regularization
ICLR 2022