Fengshuo Bai
8 papers · 2022–2026 · 7 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (23) 🐣 Hot Topic Early Bird 🏆 Grand Slam
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Artificial Intelligence
(6)
Core AI
(6)
Deep Learning
(5)
Learning Types · Deep Learning
(5)
Machine Learning
(4)
Reinforcement Learning
(4)
Applications · Reinforcement Learning
(3)
Methods
(3)
Robotics
(2)
Learning Paradigms
(2)
Learning Types · Machine Learning
(2)
Natural Language Processing
(1)
Application Areas
(1)
Applications · Robotics
(1)
Capabilities
(1)
Keywords
large language model
(3)
human preference
(2)
deep reinforcement learning
(2)
sample efficiency
(1)
policy optimization
(1)
robotic manipulation
(1)
online learning
(1)
optimal transport
(1)
policy learning
(1)
instruction tuning
(1)
continuous control
(1)
reward learning
(1)
bilevel optimization
(1)
adversarial attack
(1)
hallucination mitigation
(1)
gaussian distribution
(1)
preference-based reinforcement learning
(1)
data efficiency
(1)
agentic workflow
(1)
gradient-based optimization
(1)
Papers
ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling
ACL 2026
AdaptFlow: Adaptive Workflow Optimization via Meta-Learning
EMNLP 2025
Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs
ICLR 2025
GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation
NAACL 2025
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
AAAI 2025
PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation
ICML 2024
PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction
AAAI 2023
Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning
NeurIPS 2022