🔗 Who cites «TeleChat Technical Report»

22 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «TeleChat Technical Report»

1. LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yaowei Zheng, Richong Zhang, Junhao Zhang, et al.2024 · 1,048 citations
2. Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language ModelarXiv:2404.04167Xinrun Du; Zhouliang Yu; Songyang Gao; Ding Pan; Yuyang Cheng; Ziyang Ma; Ruibin Yuan; Xingwei Qu; Jiaheng Liu; Tianyu Zheng; Xinchen Luo; Guorui Zhou; Wenhu Chen;, Ge Zhang2024 · 23 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. A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Shengji Tang, Jianjian Cao, Weihao Lin, et al.2026
5. CEMT:Controllable Element-Oriented Machine Translation via Structured Linguistic ReasoningFindings of the Association for Computational LinguisticsLingling Shi, Haoyu Jin, Ruiyu Fang, et al.2026
6. 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
7. 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

15 more papers of our library cite it; they have no page here yet.

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