🧑‍🔬 Who cites Junjie Li

128 citations of their works from 128 papers of our library (of the 149,439 whose bibliographies we read) · 38 with a page here, the most cited first · ← Junjie Li

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. LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMsarXiv:2408.07055Yushi Bai, Jiajie Zhang, Xin Lv, et al.2024 · 66 citations
3. Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language ModelsarXiv:2406.13542Guanting Dong, Keming Lu, Chengpeng Li, et al.2024 · 54 citations
4. Checklists Are Better Than Reward Models For Aligning Language ModelsConference on Neural Information Processing Systems (NeurIPS)Vijay Viswanathan, Yanchao Sun, Shuang Ma, et al.2025 · 37 citations
5. CFBench: A Comprehensive Constraints-Following Benchmark for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Tao Zhang, ChengLIn Zhu, Yanjun Shen, et al.2025 · 30 citations
6. TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and GenerationarXiv:2410.03608Jonathan Cook, Tim Rocktaschel, Jakob Foerster, et al.2024 · 29 citations
7. Sub-Character Tokenization for Chinese Pretrained Language ModelsTransactions of the Association for Computational Linguistics (TACL)Chenglei Si, Zhengyan Zhang, Yingfa Chen, et al.2023 · 29 citations
8. OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Tianci Liu, Ran Xu, Tony Yu, et al.2026 · 25 citations
9. VerIF: Verification Engineering for Reinforcement Learning in Instruction FollowingConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.2025 · 18 citations
10. IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Xinghua Zhang, Haiyang Yu, Cheng Fu, et al.2025 · 14 citations
11. Pre-training Distillation for Large Language Models: A Design Space ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Peng, Xin Lv, Yushi Bai, et al.2025 · 14 citations
12. Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended TasksarXiv:2602.05125William F. Shen, Xinchi Qiu, Chenxi Whitehouse, et al.2026 · 9 citations
13. HunyuanOCR Technical ReportarXiv:2511.19575Hunyuan Vision Team, Pengyuan Lyu, Xingyu Wan, et al.2025 · 9 citations
14. Thinking beyond the anthropomorphic paradigm benefits LLM researchAnnual Meeting of the Association for Computational Linguistics (ACL)Lujain Ibrahim, Myra Cheng2026 · 8 citations
15. UltraIF: Advancing Instruction Following from the WildConference on Empirical Methods in Natural Language Processing (EMNLP)Kaikai An, Li Sheng, Ganqu Cui, et al.2025 · 7 citations
16. EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Tao Zou, Xinghua Zhang, Haiyang Yu, et al.2025 · 5 citations
17. Baichuan Alignment Technical ReportarXiv:2410.14940Mingan Lin, Fan Yang, Yanjun Shen, et al.2024 · 5 citations
18. Beyond Majority Voting: Towards Fine-grained and More Reliable Reward Signal for Test-Time Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Weiqin Wang, Yile Wang, Kehao Chen, et al.2026 · 4 citations
19. MulDimIF: A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language ModelsFindings of the Association for Computational LinguisticsJunjie Ye, Caishuang Huang, Zhuohan Chen, et al.2026 · 4 citations
20. MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Hui Huang, Jiaheng Liu, Yancheng He, et al.2025 · 4 citations
21. Instructions are all you need: Self-supervised Reinforcement Learning for Instruction FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Qingyu Ren, Qianyu He, Powei Chang, et al.2026 · 3 citations
22. No More Stale Feedback: Co-Evolving Critics for Open-World Agent LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhicong Li, Lingjie Jiang, Yulan Hu, et al.2026 · 3 citations
23. Beyond Outcome Verification: Verifiable Process Reward Models for Structured ReasoningFindings of the Association for Computational LinguisticsMassimiliano Pronesti, Anya Belz, Yufang Hou2026 · 2 citations
24. A Comprehensive Evaluation of Chain-of-Thought Faithfulness in Persian Classification TasksWorkshop on Language Models for Low-Resource LanguagesShakib Yazdani, Cristina España-Bonet, Eleftherios Avramidis, et al.2026 · 1 citation
25. CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Tian, Yuhao Zhou, Man Lan2026 · 1 citation
26. IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Bosi Wen, Yilin Niu, Cunxiang Wang, et al.2026 · 1 citation
27. AT\texttwosuperiorPO: Agentic Turn-based Policy Optimization via Tree SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Zefang Zong, Dingwei Chen, Yang Li, et al.2026
28. DSMentor: Curriculum-Guided Inference with Online Memory for Data-Science LLM AgentsWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraHe Wang, Alexander Hanbo Li, Yiqun Hu, et al.2026
29. Evo-PI: Aligning Medical Reasoning via Evolving Principle-Guided SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Xianda Zheng, Huan Gao, Meng-Fen Chiang, et al.2026
30. ImpRIF: Stronger Implicit Reasoning Leads to Better Complex Instruction FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Yuancheng Yang, Lin Yang, Xu Wang, et al.2026
31. MDP-GRPO: Stabilized Group Relative Policy Optimization for Multi-Constraint Instruction FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Mohammad Mahdi Salmani-Zarchi, Zahra Rahimi, Heshaam Faili, et al.2026
32. PARIF: Pushing the Pareto Frontier of Instruction Following and Reasoning with Curriculum Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Rongchuan Mu, Zexin Wang, Qianyu Wang, et al.2026
33. Reward Modeling for Scientific Writing EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Furkan Şahinuç, Subhabrata Dutta, Iryna Gurevych2026
34. ScaleBox: Enabling High-Fidelity and Scalable Code Verification for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiasheng Zheng, Xin Zheng, Boxi Cao, et al.2026
35. Sem-DPO: Mitigating Semantic Inconsistency in Preference Optimization for Prompt EngineeringFindings of the Association for Computational LinguisticsAnas Mohamed, Azal Ahmad Khan, Xinran Wang, et al.2026
36. Tailored Primitive Initialization is the Secret Key to Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yihang Yao, Guangtao Zeng, Raina Wu, et al.2026
37. Tandem Training for Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Robert West, Ashton Anderson, Ece Kamar, et al.2026
38. The Inner Monologue of Language Models: When Reasoning Traces Reveal More Than They HideFindings of the Association for Computational LinguisticsPratham Singla, Shivank Garg, Ayush Singh, et al.2026

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