Xu Liu
Xu Liu has 4 papers in our library, in 2019–2026, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Ang Li, Guanglai Gao, Jiang Li.
OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 87 times in our library · ⭐ Paper Stars ranking: #4909
Affiliations
Fields, topics and concepts
📚 Shelves 10The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksComputer Networks and Communications · 1 workHardware and Architecture · 1 workArts and Humanities · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 workSafety Research · 1 workSocial Sciences · 1 work
🧭 Topics 4Research subjects and languages the work is about.Evaluation & benchmarks · 1 workGPU & parallel computing · 1 workLanguage models & pretraining · 2 worksReasoning · 1 work
Works by year
2020s
2010s
Papers
- Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect (2019 · 372 citations)
Multi-GPU computing is now essential for deep learning, big data and large-scale simulation. However, practitioners have little solid knowledge of how GPUs are wired together inside and across servers, or how much that wiring affects real workloads. The authors run a systematic empirical study of modern GPU… - Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs (2025 · 19 citations)
Chain-of-Thought (CoT) prompting showed that LLMs reason better when they write out intermediate steps before giving an answer. - TaoType: Predicting Fine-Grained Typing Intent for Faster Search (2026 · 1 citation)
In mobile shopping search, users often pause between finishing a query and actually pressing "search". This paper, from Alibaba's Taobao & Tmall Group, exploits that gap. After every keystroke, TaoType estimates whether the user will keep typing, submit the query, or pick a dropdown suggestion. When submission looks… - Know Your Place: Diagnosing Implicit Social Adaptation Failures in Chinese Large Language Models (2026)
The paper asks whether Chinese LLMs adapt their conversational style to social signals that are only implied in a user's message, rather than stated in an instruction.
Co-authors here
- Ang Li
- Guanglai Gao
- Jiang Li
- Julian McAuley
- Rui Wang
- Shuaiwen Leon Song
- Tian Lan
- Tong Yu
- Xiang Chen
- Xiangdong Su
- Yu Tian
- Yu Xia
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026 ×2
- International Conference on Computational Linguistics (COLING): COLING 2025
Cited by
Updated
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