🧑‍🔬 Who cites Yanjun Shen

37 citations of their works from 36 papers of our library (of the 149,439 whose bibliographies we read) · 17 with a page here, the most cited first · ← Yanjun Shen

1. ReSearch: Learning to Reason with Search for LLMs via Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Mingyang Chen, Linzhuang Sun, Tianpeng Li, et al.2025 · 99 citations
2. Baichuan-Omni-1.5 Technical ReportarXiv:2501.15368Yadong Li, Jun Liu, Tao Zhang, et al.2025 · 28 citations
3. Baichuan-M2: Scaling Medical Capability with Large Verifier SystemarXiv:2509.02208Chengfeng Dou, Chong Liu, Fan Yang, et al.2025 · 19 citations
4. 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
5. Baichuan-Omni Technical ReportarXiv:2410.08565Yadong Li, Haoze Sun, Mingan Lin, et al.2024 · 18 citations
6. 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
7. LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaodong Wu, Minhao Wang, Yichen Liu, et al.2025 · 11 citations
8. 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
9. Baichuan Alignment Technical ReportarXiv:2410.14940Mingan Lin, Fan Yang, Yanjun Shen, et al.2024 · 5 citations
10. 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
11. 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
12. Baichuan-M3: Modeling Clinical Inquiry for Reliable Medical Decision-MakingarXiv:2602.06570Chengfeng Dou, Fan Yang, Fei Li, et al.2026 · 2 citations
13. 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
14. 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
15. 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
16. 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
17. TinyJudge: Unverifiable Constraint Alignment via Lightweight Specialist EnsemblesAnnual Meeting of the Association for Computational Linguistics (ACL)Yirong Zeng, Yufei Liu, Xiao Ding, et al.2026

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