🧑‍🔬 Xuelong Li

🏛️ Affiliations

🏢China TelecomBeijing · China2026 · 9 paperscurrent🏢China TelecomChangsha · China2026 · 6 paperscurrent🎓University of Science and Technology of ChinaHefei · China2026 · 1 papercurrent

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. 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 (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 (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 (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 (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 (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 (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 ReportarXiv:2401.03804Zhongjiang He, Zihan Wang, Xinzhang Liu, et al.2024 · 24 citations
2. Improve LLM-as-a-Judge Ability as a General AbilityConference on Empirical Methods in Natural Language Processing (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 AnalysisInternational Workshop on Semantic Evaluation (SemEval)Yan Zhou, Wangshicheng Wang, Shiquan Wang, et al.2026 · 1 citation
4. CEMT:Controllable Element-Oriented Machine Translation via Structured Linguistic ReasoningFindings of the Association for Computational LinguisticsLingling 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 DetectionInternational Workshop on Semantic Evaluation (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-ThoughtInternational Workshop on Semantic Evaluation (SemEval)Lingling Shi, Haoyu Jin, Shiquan Wang, et al.2026
7. The Mark Fades: Adaptive Evolutionary Paraphrase-based Attack against LLM WatermarksFindings of the Association for Computational LinguisticsYusheng Zhao, Jian Zhao, Tianle Zhang, et al.2026
8. Hallucinations as Orthogonal Noise: Inference-Time Manifold Alignment via Dynamic Contextual Orthogonalization ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetMingkuan Zhao et al.2026

🤝 Co-authors here

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

• Shuangyong Song ×4
• Yongxiang Li ×4
• Shiquan Wang ×3
• Fang Yu ×2
• Haoyu Jin ×2
• Lingling Shi ×2
• Ruiyu Fang ×2
• Jian Zhao
• Jinsong Su
• Kaidong Yu
• Shaoning Sun
• 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) ×3: SemEval 2026 ×3
• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
• Conference on Empirical Methods in Natural Language Processing (EMNLP): 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 →.

Updated 1 November 2026

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