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BUPT Artificial Intelligence undergraduate working on agent systems, interpretability, embodied safety evaluation, and deep learning foundations.
- Agent systems: evaluation, trace replay, failure attribution, and execution-agent tooling
- Interpretability: mechanism-oriented diagnostics and model behavior analysis
- Embodied safety: unsafe action detection and benchmark design
- Deep learning foundations: readable implementations, reproducible experiments, and framework internals
- AgenTracer: failure attribution trajectory curation for LLM agentic systems
- MyTorch: minimal NumPy-based autograd and neural network framework
- NLP_NER_Transformer: Transformer NER experiments with residual mechanism comparison
- SE-AC-Hotel-System: distributed hotel central AC management and billing system
For a cleaner overview, start from my personal homepage: https://zzl-2005.github.io