Fei Liu
3 papers · Latest:
Robotics
Agent-Centric Visual Reinforcement Learning under Dynamic Perturbations
ACO-MoE robustifies visual RL against dynamic perturbations by using agent-centric restoration experts, achieving near clean performance on a new benchmark.
2604.24661
Information RetrievalObjective Shaping with Hard Negatives: Windowed Partial AUC Optimization for RL-based LLM Recommenders
This paper introduces Windowed Partial AUC (WPAUC) and TAWin RL to optimize LLM recommenders, improving Top-K performance by better handling hard negatives.
2604.22504
Natural Language ProcessingGemini: A Family of Highly Capable Multimodal Models
Gemini is a new family of multimodal AI models excelling in image, audio, video, and text understanding, achieving state-of-the-art results across numerous benchmarks including human-expert level on MMLU.
2312.11805
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