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Xun Wu
Observed name:
Wu, Xun
Institutions:
Microsoft (United States),
Microsoft Research (United Kingdom)
Observed institutions:
Microsoft (United States),
Peking University,
Microsoft Research Asia (China),
Microsoft Research (United Kingdom),
Tsinghua University
OpenAlex ID:
A5108923083
Multimodal Large Language Models Make Text-to-Image Generative Models Align Better
2024
·
Xun Wu
, Shaohan Huang
, et al.
·
neural information processing systems
·
8
Textual Aesthetics in Large Language Models
2025
·
Lingjie Jiang
, Shaohan Huang
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
1
PDF
Reward Reasoning Models
2025
·
Jiaxin Guo
, Zewen Chi
, et al.
·
neural information processing systems
·
1
KOSMOS-E : Learning to Follow Instruction for Robotic Grasping
2024
·
Zhi Wang
, Xun Wu
, et al.
·
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
·
1
Boosting Text-to-Video Generative Model with MLLMs Feedback
2024
·
Xun Wu
, Shaohan Huang
, et al.
·
neural information processing systems
·
1
Learning to Coach for Experiential Learning
2026
·
Chen, Guanheng
, Ye, Tianzhu
, et al.
·
arXiv (Cornell University)
PDF
Online Experiential Learning for Language Models
2026
·
Ye, Tianzhu
, Dong, Li
, et al.
·
arXiv (Cornell University)
PDF
On-Policy Context Distillation for Language Models
2026
·
Ye, Tianzhu
, Dong, Li
, et al.
·
arXiv (Cornell University)
PDF
Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts
2026
·
Di Zhang
, Xun Wu
, et al.
·
Annual Meeting of the Association for Computational Linguistics (ACL)
PDF
Black-Box On-Policy Distillation of Large Language Models
2025
·
Ye, Tianzhu
, Dong, Li
, et al.
·
arXiv (Cornell University)
PDF
Rethinking DPO-Style Diffusion Aligning Frameworks
2025
·
Xun Wu
, Shaohan Huang
, et al.
·
IEEE/CVF International Conference on Computer Vision (ICCV)
On-Policy RL with Optimal Reward Baseline
2025
·
Hao, Yaru
, Dong, Li
, et al.
·
arXiv (Cornell University)
PDF
Multimodal Large Language Model is a Human-Aligned Annotator for Text-to-Image Generation
2024
·
Wu, Xun
, Huang, Shaohan
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
19
Citation count:
12
H-index:
1
I10-index:
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