Jian Xu
Jian Xu has 4 papers in our library, in 2021–2026, most of them on Reasoning, Evaluation & benchmarks, Vision & language; often with Bo Zheng, Cheng-Lin Liu, Bin Yu.
OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 70 times in our library · ⭐ Paper Stars ranking: #7862
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksBiochemistry, Genetics and Molecular Biology · 1 workMolecular Biology · 1 workComputer Vision and Pattern Recognition · 2 worksInformation Systems · 2 works
🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksReasoning · 3 worksVision & language · 1 work
Works by year
2020s
Papers
- CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark (2021 · 71 citations)
Biomedical NLP evaluation resources such as BLURB and PubMedQA are almost entirely English. Chinese, spoken by roughly a quarter of humanity, has had no shared yardstick for medical language understanding. The authors address this with CBLUE, which they describe as the first Chinese benchmark of its kind. It combines… - LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating (2025 · 30 citations)
Evaluation of document understanding has not kept pace with large vision-language models (LVLMs). Standard datasets such as DocVQA cover only single pages and are close to saturated. Multi-page sets like MP-DocVQA and DUDE stay under 20 pages and rarely test how models connect different layout elements. - MR-ALIGN: Meta-Reasoning Informed Factuality Alignment for Large Reasoning Models (2026 · 2 citations)
Large reasoning models (LRMs) handle multi-step problems well, but extended thinking adds little on fact-based questions. - LoRE: Enhancing Search Relevance with Progressive Chain-of-Thought and Preference Alignment (2026)
The paper tackles e-commerce search relevance: deciding whether a retrieved item truly fits a user's query.
Co-authors here
- Bo Zheng ×2
- Cheng-Lin Liu ×2
- Bin Yu
- Chao Deng
- Chuanqi Tan
- Fei Huang
- Han Hu
- Hongzhu Yi
- Jun Song
- Lei Li
- Luo Si
- Ningyu Zhang
Venues
- Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2025
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/jian-xu/