--- title: "Xin Wu — author profile and papers — Elamur Research" description: "Xin Wu, Jingdong: 4 papers on Elamur Research (2024–2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/xin-wu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xin-wu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xin Wu # Xin Wu Xin Wu has 4 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Yi Cai](https://md.research.elamur.ai/free/en/authors/yi-cai/), [Chengyuan Yao](https://md.research.elamur.ai/free/en/authors/chengyuan-yao/), [Da Pan](https://md.research.elamur.ai/free/en/authors/da-pan/). 4 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5139847356) · [ORCID](https://orcid.org/0000-0002-0207-0278) · [Wikidata](https://www.wikidata.org/wiki/Q130834562) · [**h-index 0**](https://openalex.org/authors/A5139847356) · [6 works](https://openalex.org/works?filter=author.id:A5139847356) · [0 citations](https://openalex.org/works?filter=author.id:A5139847356&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/xin-wu/#papers) · [🔗 Cited 7 times in our library](https://md.research.elamur.ai/free/en/authors/xin-wu/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10230](https://md.research.elamur.ai/free/en/paper-stars/page/103/#star-10230) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Xin+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xin+Wu) · [dblp](https://dblp.org/search?q=Xin+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Xin+Wu) ## Affiliations [🎓**South China University of Technology** Guangzhou · China 2026 · 3 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/south-china-university-of-technology/) · [🏢**Jingdong** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/jingdong/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/xin-wu/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/xin-wu/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning](https://md.research.elamur.ai/free/en/papers/hu-2026-pacore-learning-scale-test-time/)** *(2026 · 5 citations)* Language models that reason step by step in a single chain hit a hard limit: once the context window is full, reasoning must stop. 2. **[BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline](https://md.research.elamur.ai/free/en/papers/dong-2024-baichuanseed-sharing-potential-extensive/)** *(2024 · 2 citations)* Pre-training corpora largely determine what a large language model can do. Yet many developers, including some that release open weights, keep their data collection and mixing recipes private. Some models are also tuned toward particular benchmarks, which hides their real abilities. 3. **[SpecEdit: A Spectral Approach for Multi-Round Knowledge Editing](https://md.research.elamur.ai/free/en/papers/liu-2026-specedit-spectral-approach-multi-round/)** *(2026)* Repeated batch editing of a large language model tends to wear down quality over time. Newly inserted facts are written less reliably, paraphrased queries generalize worse, and neighbouring knowledge gets disturbed. The authors study this in locate-then-edit methods such as MEMIT and AlphaEdit. In these methods, the… 4. **[Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies](https://md.research.elamur.ai/free/en/papers/shen-2026-truth-or-sophistry-lofa-benchmark/)** *(2026)* Most research on LLMs and logical fallacies tests whether models can name or classify a flawed argument. This paper asks a different question: can a model hold onto a correct answer when someone pushes fallacious reasoning at it? Earlier debate-style studies such as LOGICOM used contested opinion topics, so a model… ## All works 5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. **[PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning](https://md.research.elamur.ai/free/en/papers/hu-2026-pacore-learning-scale-test-time/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingcheng Hu, Yinmin Zhang, Shijie Shang, et al.*2026 · 5 citations* 2. [**BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline arXiv:2408.15079**Guosheng Dong, Da Pan, Yiding Sun, et al.*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/dong-2024-baichuanseed-sharing-potential-extensive/) 3. **[SpecEdit: A Spectral Approach for Multi-Round Knowledge Editing](https://md.research.elamur.ai/free/en/papers/liu-2026-specedit-spectral-approach-multi-round/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junxian Liu, Zikun Deng, Xin Wu, et al.*2026* 4. **[Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies](https://md.research.elamur.ai/free/en/papers/shen-2026-truth-or-sophistry-lofa-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xudong Shen, li Yuan, Ye Chen, et al.*2026* 5. **[Unlocking Human-Like Visible Logic: How Logic Diagrams Boost Logic Reasoning in Large Language Models? ↗](https://aclanthology.org/2026.findings-acl.1602/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Xin Wu et al.*2026* ## Co-authors here 12 of 20 co-authors with a page, the most papers together first. - [Yi Cai](https://md.research.elamur.ai/free/en/authors/yi-cai/) ×2 - [Chengyuan Yao](https://md.research.elamur.ai/free/en/authors/chengyuan-yao/) - [Da Pan](https://md.research.elamur.ai/free/en/authors/da-pan/) - [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/) - [Fanqi Wan](https://md.research.elamur.ai/free/en/authors/fanqi-wan/) - [Guosheng Dong](https://md.research.elamur.ai/free/en/authors/guosheng-dong/) - [Haoze Sun](https://md.research.elamur.ai/free/en/authors/haoze-sun/) - [Jianhua Xu](https://md.research.elamur.ai/free/en/authors/jianhua-xu/) - [Jingcheng Hu](https://md.research.elamur.ai/free/en/authors/jingcheng-hu/) - [li Yuan](https://md.research.elamur.ai/free/en/authors/li-yuan/) - [Mingan Lin](https://md.research.elamur.ai/free/en/authors/mingan-lin/) - [Shijie Shang](https://md.research.elamur.ai/free/en/authors/shijie-shang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - Findings of the Association for Computational Linguistics: ACL 2026 ## Cited by Papers of our library cite their works 7 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xin-wu/cited-by/). Updated 1 November 2026