--- title: "Guo Tang — author profile and papers — Elamur Research" description: "Guo Tang, Harbin Institute of Technology: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/guo-tang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/guo-tang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Guo Tang # Guo Tang Guo Tang has 2 papers in our library, in 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/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/); often with [Ming Liu](https://md.research.elamur.ai/free/en/authors/ming-liu/), [Wenxiang Zheng](https://md.research.elamur.ai/free/en/authors/wenxiang-zheng/), [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139836373) · [**h-index 0**](https://openalex.org/authors/A5139836373) · [3 works](https://openalex.org/works?filter=author.id:A5139836373) · [0 citations](https://openalex.org/works?filter=author.id:A5139836373&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/guo-tang/#papers) · [⭐ Paper Stars ranking: #13580](https://md.research.elamur.ai/free/en/paper-stars/page/136/#star-13580) 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=Guo+Tang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Guo+Tang) · [dblp](https://dblp.org/search?q=Guo+Tang) · [ACL Anthology](https://aclanthology.org/search/?q=Guo+Tang) ## Affiliations [🎓**Harbin Institute of Technology** Harbin · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) 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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 4 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/guo-tang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[From Implicit Graph Encoding to Explicit Evidence: A Training-Free LLM Framework for Temporal Knowledge Graph Reasoning](https://md.research.elamur.ai/free/en/papers/tang-2026-implicit-graph-encoding-explicit-evidence/)** *(2026)* Forecasting future facts in Temporal Knowledge Graphs (TKGs) is difficult for parametric models. They degrade under distribution shift and cannot handle unseen entities or relations without retraining. Existing LLM-based alternatives have their own problems: some flatten graphs into long text and lose information… 2. **[LCR-RAG: Enhancing Logical Consistency in Retrieval-Augmented Generation via Neuro-symbolic Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zheng-2026-lcr-rag-enhancing-logical-consistency/)** *(2026)* Retrieval-augmented generation (RAG) helps large language models stay factually grounded. In multi-step reasoning, however, answers can still contradict themselves or skip inference steps. Iterative and self-reflective systems such as IRCoT and Self-RAG try to fix this, but they depend on the model judging its own… ## Co-authors here 6 co-authors with a page, the most papers together first. - [Ming Liu](https://md.research.elamur.ai/free/en/authors/ming-liu/) ×2 - [Wenxiang Zheng](https://md.research.elamur.ai/free/en/authors/wenxiang-zheng/) ×2 - [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/) - [Jian Xie](https://md.research.elamur.ai/free/en/authors/jian-xie/) - [Ke Cheng](https://md.research.elamur.ai/free/en/authors/ke-cheng/) - [Xiyuan Zhang](https://md.research.elamur.ai/free/en/authors/xiyuan-zhang/) ## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [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/) Updated 2 November 2026