--- title: "Shuangyong Song · China Telecom — author profile and papers" description: "Shuangyong Song, China Telecom: 6 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/shuangyong-song/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shuangyong-song/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shuangyong Song # Shuangyong Song Shuangyong Song has 6 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Xuelong Li](https://md.research.elamur.ai/free/en/authors/xuelong-li/), [Yongxiang Li](https://md.research.elamur.ai/free/en/authors/yongxiang-li/), [Shiquan Wang](https://md.research.elamur.ai/free/en/authors/shiquan-wang/). 6 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139721863) · [**h-index 0**](https://openalex.org/authors/A5139721863) · [8 works](https://openalex.org/works?filter=author.id:A5139721863) · [0 citations](https://openalex.org/works?filter=author.id:A5139721863&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/shuangyong-song/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #12688](https://md.research.elamur.ai/free/en/paper-stars/page/127/#star-12688) 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=Shuangyong+Song) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shuangyong+Song) · [dblp](https://dblp.org/search?q=Shuangyong+Song) · [ACL Anthology](https://aclanthology.org/search/?q=Shuangyong+Song) ## Affiliations [🏢**China Telecom** Beijing · China 2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/companies/china-telecom-cn/) · [🏢**China Telecom** Changsha · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/china-telecom/) 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 8 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/) ## Works by year ### 2020s [**2026** 6 papers](https://md.research.elamur.ai/free/en/authors/shuangyong-song/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[TeleAI at SemEval-2026 Task 3: Large Language Models for Dimensional Aspect-Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/zhou-2026-teleai-semeval-2026-task-3/)** *(2026 · 1 citation)* This paper describes TeleAI's entry for Track A, Subtask 1 (DimASR) of SemEval-2026 Task 3. In this task, sentiment toward each aspect term is not a polarity label but a pair of continuous Valence–Arousal (VA) scores between 1 and 9, scored with RMSE_VA. The authors treat the problem as direct regression. The input… 2. **[CEMT:Controllable Element-Oriented Machine Translation via Structured Linguistic Reasoning](https://md.research.elamur.ai/free/en/papers/shi-2026-cemt-controllable-element-oriented-machine/)** *(2026)* LLM-based translators often mishandle small but critical pieces of input: URLs, handles, HTML tags and emojis that must be copied exactly, and idioms, slang or culture-bound terms that need careful adaptation. 3. **[Hallucinations as Orthogonal Noise: Inference-Time Manifold Alignment via Dynamic Contextual Orthogonalization](https://md.research.elamur.ai/free/en/papers/zhao-2026-hallucinations-as-orthogonal-noise-inference/)** *(2026)* The paper addresses LLM hallucinations, where outputs contradict the given context or logical constraints. 4. **[Table-R1: Region-based Reinforcement Learning for Table Understanding](https://md.research.elamur.ai/free/en/papers/wu-2026-table-r1-region-based-reinforcement/)** *(2026)* Large language models still have difficulty answering questions over tables because answers depend on how rows and columns relate. 5. **[TeleAI at SemEval-2026 Task 13: Data-Centric Full-Parameter Fine-Tuning with Multi-Level Ensembling for Generated Code Detection](https://md.research.elamur.ai/free/en/papers/wang-2026-teleai-semeval-2026-task-13/)** *(2026)* The paper describes TeleAI's entry to SemEval-2026 Task 13, which focuses on telling human-written source code apart from LLM-generated code. The task has three subtasks: 6. **[TeleAI at SemEval-2026 Task 6: A Confidence-Aware Multi-Stage Reasoning Framework with Chain-of-Thought](https://md.research.elamur.ai/free/en/papers/shi-2026-teleai-semeval-2026-task-6/)** *(2026)* The paper presents TeleAI's winning system for SemEval-2026 Task 6 (CLARITY). The task asks whether answers in English political interviews actually respond to a given sub-question. SubTask 1 uses three coarse clarity labels, and SubTask 2 uses nine fine-grained evasion categories. The authors propose CAMSR-CoT, a… ## Co-authors here 12 of 23 co-authors with a page, the most papers together first. - [Xuelong Li](https://md.research.elamur.ai/free/en/authors/xuelong-li/) ×6 - [Yongxiang Li](https://md.research.elamur.ai/free/en/authors/yongxiang-li/) ×4 - [Shiquan Wang](https://md.research.elamur.ai/free/en/authors/shiquan-wang/) ×3 - [Fang Yu](https://md.research.elamur.ai/free/en/authors/fang-yu/) ×2 - [Haoyu Jin](https://md.research.elamur.ai/free/en/authors/haoyu-jin/) ×2 - [Lingling Shi](https://md.research.elamur.ai/free/en/authors/lingling-shi/) ×2 - [Ruiyu Fang](https://md.research.elamur.ai/free/en/authors/ruiyu-fang/) ×2 - [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/) - [Jian Yang](https://md.research.elamur.ai/free/en/authors/jian-yang/) - [Jinsong Su](https://md.research.elamur.ai/free/en/authors/jinsong-su/) - [Mengjiao Bao](https://md.research.elamur.ai/free/en/authors/mengjiao-bao/) - [Mingkuan Zhao](https://md.research.elamur.ai/free/en/authors/mingkuan-zhao/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×3: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×3 - [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/) ×3: [SemEval 2026](https://md.research.elamur.ai/free/en/venues/semeval/2026/) ×3 ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read). Updated 2 November 2026