---
title: "Xuelong Li — author profile and papers — Elamur Research"
description: "Xuelong Li, University of Science and Technology of China: 7 papers on Elamur Research (2024–2026), h-index 1 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/xuelong-li/"
---
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# Xuelong Li

Xuelong Li has 7 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/), [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with [Shuangyong Song](https://md.research.elamur.ai/free/en/authors/shuangyong-song/), [Yongxiang Li](https://md.research.elamur.ai/free/en/authors/yongxiang-li/), [Shiquan Wang](https://md.research.elamur.ai/free/en/authors/shiquan-wang/).

7 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5139799028) · [**h-index 1**](https://openalex.org/authors/A5139799028) · [10 works](https://openalex.org/works?filter=author.id:A5139799028) · [2 citations](https://openalex.org/works?filter=author.id:A5139799028&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/xuelong-li/#papers) · [🔗 Cited 35 times in our library](https://md.research.elamur.ai/free/en/authors/xuelong-li/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8086](https://md.research.elamur.ai/free/en/paper-stars/page/81/#star-8086)

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=Xuelong+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xuelong+Li) · [dblp](https://dblp.org/search?q=Xuelong+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Xuelong+Li)

## Affiliations

[🏢**China Telecom** Beijing · China 2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/companies/china-telecom-cn/) · [🏢**China Telecom** Changsha · China 2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/companies/china-telecom/) · [🎓**University of Science and Technology of China** Hefei · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/)

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 11 The field of science this work belongs to (OpenAlex fields).[Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [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/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [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 · 4 works](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** 5 papers](https://md.research.elamur.ai/free/en/authors/xuelong-li/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/xuelong-li/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/xuelong-li/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[TeleChat Technical Report](https://md.research.elamur.ai/free/en/papers/he-2024-telechat-technical-report/)** *(2024 · 24 citations)* TeleChat is a family of open bilingual (Chinese–English) large language models from China Telecom, with 3B, 7B and 12B parameters, released as base and chat versions.
2. **[Improve LLM-as-a-Judge Ability as a General Ability](https://md.research.elamur.ai/free/en/papers/yu-2025-improve-llm-as-judge-ability/)** *(2025 · 15 citations)* The paper addresses training generative LLM judges, which produce reasoned verdicts on which of two responses is better.
3. **[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…
4. **[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.
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…
7. **[The Mark Fades: Adaptive Evolutionary Paraphrase-based Attack against LLM Watermarks](https://md.research.elamur.ai/free/en/papers/zhao-2026-mark-fades-adaptive-evolutionary-paraphrase/)** *(2026)* The paper looks at how fragile statistical watermarks in LLM-generated text are when an attacker can only rewrite the text. Existing paraphrase attacks force a trade-off: light rewriting leaves the watermark detectable, while heavy rewriting damages meaning and fluency.

## All works

8 works of theirs in our library, the most cited first; 7 with a page here, the others link their original until we summarise them.

1. [**TeleChat Technical Report arXiv:2401.03804**Zhongjiang He, Zihan Wang, Xinzhang Liu, et al.*2024 · 24 citations*](https://md.research.elamur.ai/free/en/papers/he-2024-telechat-technical-report/)
2. **[Improve LLM-as-a-Judge Ability as a General Ability](https://md.research.elamur.ai/free/en/papers/yu-2025-improve-llm-as-judge-ability/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiachen Yu, Shaoning Sun, Xiaohui Hu, et al.*2025 · 15 citations*
3. **[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/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Yan Zhou, Wangshicheng Wang, Shiquan Wang, et al.*2026 · 1 citation*
4. **[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/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lingling Shi, Haoyu Jin, Ruiyu Fang, et al.*2026*
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/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Shiquan Wang, Fang Yu, Shuangyong Song, et al.*2026*
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/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Lingling Shi, Haoyu Jin, Shiquan Wang, et al.*2026*
7. **[The Mark Fades: Adaptive Evolutionary Paraphrase-based Attack against LLM Watermarks](https://md.research.elamur.ai/free/en/papers/zhao-2026-mark-fades-adaptive-evolutionary-paraphrase/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yusheng Zhao, Jian Zhao, Tianle Zhang, et al.*2026*
8. **[Hallucinations as Orthogonal Noise: Inference-Time Manifold Alignment via Dynamic Contextual Orthogonalization ↗](https://aclanthology.org/2026.findings-acl.1822/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Mingkuan Zhao et al.*2026*

## Co-authors here

12 of 17 co-authors with a page, the most papers together first.

- [Shuangyong Song](https://md.research.elamur.ai/free/en/authors/shuangyong-song/) ×4
- [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
- [Jian Zhao](https://md.research.elamur.ai/free/en/authors/jian-zhao/)
- [Jinsong Su](https://md.research.elamur.ai/free/en/authors/jinsong-su/)
- [Kaidong Yu](https://md.research.elamur.ai/free/en/authors/kaidong-yu/)
- [Shaoning Sun](https://md.research.elamur.ai/free/en/authors/shaoning-sun/)
- [Shixuan Liu](https://md.research.elamur.ai/free/en/authors/shixuan-liu/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [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
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)
- Findings of the Association for Computational Linguistics: ACL 2026

## Cited by

Papers of our library cite their works 35 times (of the 149,439 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xuelong-li/cited-by/).

Updated 1 November 2026