Tencent/digitalhuman
Dec 2025 – Dec 2025
1 Month active
Languages Used
Python
Technical Skills
AI DevelopmentMachine LearningMulti-Agent SystemsNatural Language Processing
xbmxb
PROFILE
Xbmxb
During December 2025, Ma Xubo developed the Multi-Agent Debate Framework for the Tencent/digitalhuman repository, focusing on simulating agent discussions to analyze competition and collaboration dynamics. The framework featured a modular debate engine, enabling concurrent simulations of multiple agents and supporting rapid experimentation with different interaction scenarios. Ma Xubo implemented the system using Python, leveraging expertise in AI development, machine learning, and multi-agent systems to ensure scalability and extensibility. Comprehensive documentation and baseline test scenarios were provided to facilitate future iterations. The work demonstrated depth in both architectural design and practical implementation, addressing the need for robust agent interaction studies in digital human research.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
29,710
Activity Months1
Your Network
27 peopleSame Organization
@sjtu.edu.cn19
ZhongwangZhangMember
Di LinMember
Siyuan FengMember
Zhuoqiang CaiMember
Siyuan FengMember
Xihuai WangMember
李经纬Member
Tiancheng XieMember
Ruiwen ZhouMember
Shared Repositories
8
Work History
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary: Delivered the Multi-Agent Debate Framework for Tencent/digitalhuman, enabling scalable simulations of agent discussions to study competition and collaboration dynamics, with initial testing scenarios and documentation to enable rapid iteration.
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary: Delivered the Multi-Agent Debate Framework for Tencent/digitalhuman, enabling scalable simulations of agent discussions to study competition and collaboration dynamics, with initial testing scenarios and documentation to enable rapid iteration.
December 2025
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AI DevelopmentMachine LearningMulti-Agent SystemsNatural Language Processing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline