Fengshuo Bai
8 papers · 2022–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (6) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (17)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Grand Slam
Conferences
AAAI (2)
ACL (1)
EMNLP (1)
ICLR (1)
ICML (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
large language model
(2)
deep reinforcement learning
(2)
sample efficiency
(1)
multi-task learning
(1)
policy optimization
(1)
robotic manipulation
(1)
gradient-based optimization
(1)
policy learning
(1)
instruction tuning
(1)
continuous control
(1)
reward learning
(1)
adversarial attack
(1)
bi-level optimization
(1)
hallucination mitigation
(1)
preference-based reinforcement learning
(1)
data efficiency
(1)
agentic workflow
(1)
task adaptation
(1)
structured output generation
(1)
human preference
(1)
Papers
ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling
ACL 2026
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
AAAI 2025
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
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
NIPS 2022