🧑‍🔬 Who cites Juntao Li

80 citations of their works from 80 papers of our library (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · ← Juntao Li

1. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsarXiv:2503.16419Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 157 citations
2. Generating Sentences from Disentangled Syntactic and Semantic SpacesAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Bao, Hao Zhou, Shujian Huang, et al.2019 · 154 citations
3. Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to SystemsACM Computing SurveysXupeng Miao, Gabriele Oliaro, Zhihao Zhang, et al.2023 · 110 citations
4. LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-TrainingConference on Empirical Methods in Natural Language Processing (EMNLP)Tong Zhu, Xiaoye Qu, Daize Dong, et al.2024 · 85 citations
5. PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingyang Song, Zhaochen Su, Xiaoye Qu, et al.2025 · 63 citations
6. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
7. Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?International Conference on Computational Linguistics (COLING)Mingyu Jin, Qinkai Yu, Jingyuan Huang, et al.2025 · 36 citations
8. DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion ModelsFindings of the Association for Computational LinguisticsShansan Gong, Mukai Li, Jiangtao Feng, et al.2023 · 33 citations
9. FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative SamplingAnnual Meeting of the Association for Computational Linguistics (ACL)Weilin Zhao, Tengyu Pan, Xu Han, et al.2025 · 15 citations
10. Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language ModelsarXiv:2505.03469Bin Yu, Hang Yuan, Haotian Li, et al.2025 · 13 citations
11. LogitSpec: Accelerating Retrieval-based Speculative Decoding via Next Next Token SpeculationFindings of the Association for Computational LinguisticsTianyu Liu, Qitan Lv, Hao Li, et al.2026 · 6 citations
12. Sparrow: Text-Anchored Window Attention with Visual-Semantic Glimpsing for Speculative Decoding in Video LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Libo Zhang, Zhaoning Zhang, Hongwanyang, et al.2026 · 2 citations
13. Data Foundations of Long-Context Language Models: A SurveyTransactions of the Association for Computational Linguistics (TACL)Zechen Sun, Yuyang Sun, Zhaochen Su, et al.2026
14. HCSpec: Two-Tier Horizontal Cascade Speculative Decoding for High-Efficiency Large Language Model InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Yizhou Zhang, Siming Chen, Hao Ye, et al.2026
15. ODL-TempLLM: Ontology-Guided and Description Logic-Reasoned Temporal Reasoning with LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Jinshuo Liu, Cheng Bi, Meng Wang, et al.2026
16. On the Cultural Anachronism and Temporal Reasoning in Vision Language ModelsFindings of the Association for Computational LinguisticsMukul Ranjan, Prince Jha, Khushboo Kumari, et al.2026

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