---
title: "China Telecom — works of 2026: 8 papers, the most cited first"
description: "8 works of China Telecom from 2026 in our library, the most cited first. Among them: TeleAI at SemEval-2026 Task 3: Large Language…"
canonical: "https://research.elamur.ai/free/en/companies/china-telecom-cn/year/2026/"
---
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# Works of China Telecom from 2026

8 works · the most cited first · [← China Telecom](https://md.research.elamur.ai/free/en/companies/china-telecom-cn/)

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/) [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*
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/) [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*
3. **[Evaluating the Expressive Appropriateness of Speech in Rich Contexts](https://md.research.elamur.ai/free/en/papers/wang-2026-evaluating-expressive-appropriateness-speech-rich/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianrui Wang, Ziyang Ma, Yizhou Peng, et al.*2026*
4. **[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/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mingkuan Zhao, Wentao Hu, Tianchen Huang, et al.*2026*
5. **[Table-R1: Region-based Reinforcement Learning for Table Understanding](https://md.research.elamur.ai/free/en/papers/wu-2026-table-r1-region-based-reinforcement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenhe Wu, Jian Yang, Zhongjiang He, et al.*2026*
6. **[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*
7. **[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*
8. **[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*
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