Who cites Yudi Zhang
- SarcasmBench: Towards Evaluating Large Language Models on Sarcasm UnderstandingarXiv:2408.11319Yazhou Zhang, Chunwang Zou, Zheng Lian, et al.2024 · 35 citations
- A Survey of Multimodal Sarcasm DetectionarXiv:2410.18882Shafkat Farabi, Tharindu Ranasinghe, Diptesh Kanojia, et al.2024 · 26 citations
- Answer Convergence as a Signal for Early Stopping in ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Xin Liu, Lu Wang2025 · 22 citations
- MiniCPM4: Ultra-Efficient LLMs on End DevicesarXiv:2506.07900MiniCPM Team, Chaojun Xiao, Yuxuan Li, et al.2025 · 22 citations
- AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
- CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zixin Chen, Hongzhan Lin, Ziyang Luo, et al.2024 · 20 citations
- AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model DiscoveryarXiv:2604.05550Yu Li, Chenyang Shao, Xinyang Liu, et al.2026 · 5 citations
- Speculative Decoding with a Speculative VocabularyFindings of the Association for Computational LinguisticsMiles Williams, Young D. Kwon, Rui Li, et al.2026 · 2 citations
- T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and PlaygroundConference of the European Chapter of the Association for Computational Linguistics (EACL)Dmitrii Stoianov, Danil Taranets, Olga Tsymboi, et al.2026 · 2 citations
- Incentivizing Strong Reasoning from Weak SupervisionConference of the European Chapter of the Association for Computational Linguistics (EACL)Yige Yuan, Teng Xiao, Shuchang Tao, et al.2026 · 1 citation
- 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
- TokenTiming: A Dynamic Alignment Method for Universal Speculative Decoding Model PairsAnnual Meeting of the Association for Computational Linguistics (ACL)Sibo Xiao, Fu Jinyuan, Zhongle Xie, et al.2026
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