🧑‍🔬 Who cites Mingyang Song

110 citations of their works from 105 papers of our library (of the 149,439 whose bibliographies we read) · 40 with a page here, the most cited first · ← Mingyang Song

1. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
2. BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-HaystackConference on Neural Information Processing Systems (NeurIPS)Yuri Kuratov, Aydar Bulatov, Petr Anokhin, et al.2024 · 88 citations
3. A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?arXiv:2503.24235Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, et al.2025 · 79 citations
4. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
5. 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
6. Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI SynergyarXiv:2507.01352Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, et al.2025 · 48 citations
7. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time ScalingarXiv:2502.06703Runze Liu, Junqi Gao, Jian Zhao, et al.2025 · 41 citations
8. Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?Annual Meeting of the Association for Computational Linguistics (ACL)Yancheng He, Shilong Li, Jiaheng Liu, et al.2025 · 30 citations
9. NovelQA: Benchmarking Question Answering on Documents Exceeding 200K TokensarXiv:2403.12766Cunxiang Wang, Ruoxi Ning, Boqi Pan, et al.2024 · 29 citations
10. ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error DetectionFindings of the Association for Computational LinguisticsYibo Yan, Shen Wang, Jiahao Huo, et al.2026 · 23 citations
11. R-PRM: Reasoning-Driven Process Reward ModelingConference on Empirical Methods in Natural Language Processing (EMNLP)Shuaijie She, Junxiao Liu, Yifeng Liu, et al.2025 · 18 citations
12. Hunyuan-MT Technical ReportarXiv:2509.05209Mao Zheng, Zheng Li, Bingxin Qu, et al.2025 · 17 citations
13. 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language ModelsarXiv:2505.00551Chong Zhang, Yue Deng, Xiang Lin, et al.2025 · 9 citations
14. Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical StudyInternational Conference on Computational Linguistics (COLING)Mingyang Song, Mao Zheng, Xuan Luo2025 · 9 citations
15. ViLBench: A Suite for Vision-Language Process Reward ModelingConference on Empirical Methods in Natural Language Processing (EMNLP)Haoqin Tu, Weitao Feng, Hardy Chen, et al.2025 · 9 citations
16. Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Yanzhi Tian, Cunxiang Wang, Zeming Liu, et al.2026 · 5 citations
17. Test-Time Scaling of Reasoning Models for Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL)Zihao Li, Shaoxiong Ji, Jörg Tiedemann2026 · 5 citations
18. Beyond Outcome Verification: Verifiable Process Reward Models for Structured ReasoningFindings of the Association for Computational LinguisticsMassimiliano Pronesti, Anya Belz, Yufang Hou2026 · 2 citations
19. C2-Faith: Benchmarking LLM Judges for Causal and Coverage Faithfulness in Chain-of-Thought ReasoningWorkshop on Generation, Evaluation and Metrics (GEM)Avni Mittal, Rauno Arike2026 · 2 citations
20. GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical ReasoningWorkshop on Advances in Language and Vision Research (ALVR)Jianghangfan Zhang, Yibo Yan, Kening Zheng, et al.2026 · 2 citations
21. Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier MathAnnual Meeting of the Association for Computational Linguistics (ACL)Shrey Pandit, Austin Xu, Xuan-Phi Nguyen, et al.2026 · 2 citations
22. Mending the Holes: Mitigating Reward Hacking in Reinforcement Learning for Multilingual TranslationFindings of the Association for Computational LinguisticsYifeng Liu, Siqi Ouyang, Yatish H R, et al.2026 · 2 citations
23. Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error AnnotationsFindings of the Association for Computational LinguisticsShaomu Tan, Ryosuke Mitani, Ritvik Choudhary, et al.2026 · 2 citations
24. Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement LearningFindings of the Association for Computational LinguisticsZhiyin Yu, Bo Zhang, Qibin Hou, et al.2026 · 1 citation
25. IF-RewardBench: Benchmarking Judge Models for Instruction-Following EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Bosi Wen, Yilin Niu, Cunxiang Wang, et al.2026 · 1 citation
26. NeoAMT: Neologism-Aware Agentic Machine Translation with Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhongtao Miao, Kaiyan Zhao, Masaaki Nagata, et al.2026 · 1 citation
27. Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Raffaele Pisano, Roberto Navigli2026 · 1 citation
28. RAFFLES: Reasoning-based Attribution of Faults for LLM SystemsConference of the European Chapter of the Association for Computational Linguistics (EACL)Chenyang Zhu, Spencer Hong, Jingyu Wu, et al.2026 · 1 citation
29. A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and UsageAnnual Meeting of the Association for Computational Linguistics (ACL)Congmin Zheng, Jiachen Zhu, Zhuoying Ou, et al.2026
30. A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and SolutionsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyin Yu, Yuchen Mou, Juncheng Yan, et al.2026
31. CEMT:Controllable Element-Oriented Machine Translation via Structured Linguistic ReasoningFindings of the Association for Computational LinguisticsLingling Shi, Haoyu Jin, Ruiyu Fang, et al.2026
32. 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
33. FeedTrans: Enhance Machine Translation via FeedbackTransactions of the Association for Computational Linguistics (TACL)Zengkui Sun, Jiali Zeng, Jiaan Wang, et al.2026
34. GenProve: Learning to Generate Text with Fine-Grained ProvenanceAnnual Meeting of the Association for Computational Linguistics (ACL)Jingxuan Wei, Xingyue Wang, Yanghaoyu Liao, et al.2026
35. NeedleChain: Measuring Intact Context Comprehension Capability of Large Language ModelsFindings of the Association for Computational LinguisticsHyeonseok Moon, Heuiseok Lim2026
36. NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yingfeng Luo, Ziqiang Xu, Yuxuan Ouyang, et al.2026
37. PEGRL: Improving Machine Translation by Post-Editing Guided Reinforcement LearningFindings of the Association for Computational LinguisticsYunzhi Shen, Hao Zhou, Xin Huang, et al.2026
38. Scaling Performance and Low-Resource Annotation with Many-Shot In-Context Learning for Named Entity RecognitionFindings of the Association for Computational LinguisticsQi Zhang, Fangping Lan, Cornelia Caragea, et al.2026
39. Simultaneous Speech-to-Text Translation Web Application for EstonianConference of the European Chapter of the Association for Computational Linguistics (EACL)Bohdan Podziubanchuk, Aivo Olev, Jiaming Kong, et al.2026
40. Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Yongshi Ye, Biao Fu, Chongxuan Huang, et al.2026

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