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Wei Wu
Observed name:
Wu, Wei
Institutions:
University of Science and Technology of China,
Zero Emissions Resource Organisation
Observed institutions:
University of Science and Technology of China,
Zero Emissions Resource Organisation
OpenAlex ID:
A5137049380
Grounded Skill Synthesis from Code at Scale for Agentic Intelligence
2026
·
Tong, Yongqi
, Wang, Pan
, et al.
·
arXiv (Cornell University)
PDF
Open Research Materials for "Specialized Multi-scale ROMS Data Assimilation for Improved Representation of Ocean Multiscale Variability"
2026
·
Zhou, Chaojie
, Wu, Wei
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Learning Preference Adaptation for Large Language Model Personalization via Verbal Reinforcement Learning
2026
·
Liu, Yuting
, Wu, Wei
, et al.
·
arXiv (Cornell University)
PDF
How to Train a Real-World Silicon Concierge? Internalizing Complex Business Workflow to Only OneModel
2026
·
Liu, Chang
, Ning, Chaoyang
, et al.
·
arXiv (Cornell University)
PDF
When Errors Become Narratives: A Longitudinal Taxonomy of Silent Failures in a Production LLM Agent Runtime
2026
·
Wu, Wei
·
arXiv (Cornell University)
PDF
Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models
2026
·
Association for Computational Linguistics 2026
, Hu, Xiang
, et al.
·
Underline Science Inc.
Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning Models
2026
·
Association for Computational Linguistics 2026
, Chen, Liyi
, et al.
·
Underline Science Inc.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments
2026
·
Hu, Yihao
, Wen, Zhihao
, et al.
·
arXiv (Cornell University)
PDF
MemForest: An Efficient Agent Memory System with Hierarchical Temporal Indexing
2026
·
Chen, Han
, Zhang, Zining
, et al.
·
arXiv (Cornell University)
PDF
Scaling Human-AI Coding Collaboration Requires a Governable Consensus Layer
2026
·
Wang, Tianfu
, Hao, Zhezheng
, et al.
·
arXiv (Cornell University)
PDF
Elastic Horizon: Discovering the Effective Interaction Frontier in Agentic Reinforcement Learning
2026
·
Gangyi Zhang
, Junjie Meng
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
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11
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