Samuel Yang contributed to embeddings-benchmark/mteb by updating model metadata and expanding benchmark coverage, integrating the new inf-retriever-v1-1.5b model to support broader evaluation scenarios. He improved dataset loading security by refining trust_remote_code handling, ensuring safer remote code execution. In Alibaba-NLP/DeepResearch, Samuel stabilized API integration by correcting Jina API key environment variable usage and updating the Visit tool’s authorization logic, reducing authentication errors across environments. His work relied on Python and Shell scripting, with a focus on benchmark management, configuration, and parameter handling. The changes were well-documented, traceable, and addressed both reliability and security in production workflows.