29 citations · 30 across the 4 of their papers we have counts for
4 papers
RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks
Jinjun Huang, Zhongzhen Wen, Tongtong Xu +3
In modern AI frameworks, GPU kernels are key to overall system performance. Combining usability, portability, and near-handwritten CUDA performance, Triton is widely adopted for im…
SEER: Self-Enhancing Chain-of-Thought Compression for Reasoning Models
Kerui Huang, Shuhan Liu, Xing Hu +3
Chain-of-Thought (CoT) prompting can substantially improve the reasoning ability of large language models (LLMs), but it often comes with high inference cost due to long and poorly…
FGIT: Fault-Guided Fine-Tuning for Code Generation
Lishui Fan, Zhongxin Liu, Haoye Wang +3
Modern instruction-tuned large language models (LLMs) have made remarkable progress in code generation. However, these LLMs fine-tuned with standard supervised fine-tuning (SFT) so…
How does Working from Home Affect Developer Productivity? -- A Case Study of Baidu During COVID-19 Pandemic
Lingfeng Bao, Tao Li, Xin Xia +3
Nowadays, working from home (WFH) has become a popular work arrangement due to its many potential benefits for both companies and employees (e.g., increasing job satisfaction and r…