Ligeng focused on improving documentation accuracy for the pytorch/FBGEMM repository, specifically addressing the int4_row_quantize function. He identified and corrected an error in the docstring describing the output tensor’s shape, updating it from [N, K // 2] to the correct [N, K]. This change clarified the API’s behavior for downstream users and reduced the risk of implementation errors. Ligeng’s work involved careful code review and precise documentation updates using Python, ensuring that quantization utilities reflected actual function outputs. His contribution strengthened documentation standards and provided clearer guidance for developers working with quantization features in the FBGEMM codebase.