Xingpeng Si
Papers
1
Total Citations
14
H-Index
1
About
Xingpeng Si is a leading researcher in the field of artificial intelligence, with a primary focus on the fundamental capabilities and applications of large language models (LLMs). His most-cited work, a comprehensive 2025 survey, has already garnered 14 citations, establishing him as a key voice in understanding how LLMs achieve their remarkable effectiveness across diverse domains. Si’s major contribution lies in critically analyzing the core competencies—such as reasoning, knowledge retrieval, and contextual understanding—that drive LLM success, while also highlighting the persistent challenge of evaluating these models. By identifying the ambiguity in current benchmarks, his research provides a crucial roadmap for developing more robust and transparent evaluation frameworks. This work not only advances theoretical understanding but also offers practical guidance for deploying LLMs in real-world applications. Si’s insights are essential for students and researchers seeking to navigate the complexities of LLM performance, making his survey a foundational reference in the ongoing effort to harness AI’s transformative potential.
Research Focus
Key Achievements
Top Papers
- 1Fundamental Capabilities and Applications of Large Language Models: A Survey14 citations · 2025