Get started
Author

Yao Shu

COBRA-Skills: Contextual Bandit-Guided Evolution for Agent Skill Optimization
2026 · Lu, Pingchen, Wang, Xiangyi, et al. · arXiv (Cornell University)
PDF
ZoAQ: Adaptive Zeroth-Order Querying via Query-Reuse Coupling
2026 · Feng, Yangyang, Shu, Yao · arXiv (Cornell University)
PDF
Revisiting Zeroth-Order Hessian Approximation: A Single-Step Policy Optimization Lens
2026 · Qiu, Junbin, Hong, Zhaowei, et al. · arXiv (Cornell University)
PDF
DRIFT: Decoupled Rollouts and Importance-Weighted Fine-Tuning for Efficient Multi-Turn Optimization
2026 · Mu, Jian, Lin, Tianyi, et al. · arXiv (Cornell University)
PDF
AR1-ZO: Topology-Aware Rank-1 Zeroth-Order Queries for High-Rank LoRA Fine-Tuning
2026 · Chen, Ziye, Lin, Hongbin, et al. · arXiv (Cornell University)
PDF
Compander-Aligned Query Geometry for Quantized Zeroth-Order Optimization
2026 · Shu, Yao, Zhu, Zilin · arXiv (Cornell University)
PDF
Why Zeroth-Order Adaptation May Forget Less: A Randomized Shaping Theory
2026 · Shu, Yao, Mu, Jian, et al. · arXiv (Cornell University)
PDF
Reference-Sampled Boltzmann Projection for KL-Regularized RLVR: Target-Matched Weighted SFT, Finite One-Shot Gaps, and Policy Mirror Descent
2026 · Shu, Yao, Wei, Chenxing, et al. · arXiv (Cornell University)
PDF
Model-based Offline RL via Robust Value-Aware Model Learning with Implicitly Differentiable Adaptive Weighting
2026 · Qiao, Zhongjian, Lyu, Jiafei, et al. · arXiv (Cornell University)
PDF
ACE-Merging: Data-Free Model Merging with Adaptive Covariance Estimation
2026 · Xu, Bo, Wu, Haotian, et al. · arXiv (Cornell University)
PDF
MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks
2026 · Hong, Zhi, Zhang, Qian, et al. · arXiv (Cornell University)
PDF
Words & Weights: Streamlining Multi-Turn Interactions via Co-Adaptation
2026 · Wei, Chenxing, Wang, Hong, et al. · arXiv (Cornell University)
PDF
BranPO: Scalable Contrastive Branch Sampling for Long-Horizon Agentic Reinforcement Learning
2026 · Zhao, Yubao, Huang, Weiquan, et al. · arXiv (Cornell University)
PDF
Can One-Shot Test-Time Data Augmentation Help with Generalization?
2026 · Bai, Yunwei, Shu, Yao, et al. · arXiv (Cornell University)
PDF
Meta-Prompt Optimization for LLM-Based Sequential Decision Making
2026 · Mingze Kong, Zhiyong Wang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Controllable Concept Bottleneck Models
2026 · Lin, Hongbin, Ren, Chenyang, et al. · arXiv (Cornell University)
PDF
Efficient Token-Level Policy Optimization for Masked Diffusion Models via Velocity Alignment
2026 · Chenxing Wei, Jiazhen Kang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Works count: 17
Citation count:
H-index:
I10-index:
Year
Topic
Type