🧑‍🔬 Who cites Wanlong Liu

95 citations of their works from 95 papers of our library (of the 149,439 whose bibliographies we read) · 38 with a page here, the most cited first · ← Wanlong Liu

1. Search-o1: Agentic Search-Enhanced Large Reasoning ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaoxi Li, Guanting Dong, Jiajie Jin, et al.2025 · 211 citations
2. 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
3. Rubrics as Rewards: Reinforcement Learning Beyond Verifiable DomainsarXiv:2507.17746Anisha Gunjal, Anthony Wang, Elaine Lau, et al.2025 · 73 citations
4. 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
5. How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled BenchmarkMinglai Yang, Ethan Huang, Liang Zhang, et al.2025 · 25 citations
6. Baichuan-M1: Pushing the Medical Capability of Large Language ModelsarXiv:2502.12671Bingning Wang, Haizhou Zhao, Huozhi Zhou, et al.2025 · 24 citations
7. Baichuan-M2: Scaling Medical Capability with Large Verifier SystemarXiv:2509.02208Chengfeng Dou, Chong Liu, Fan Yang, et al.2025 · 19 citations
8. 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
9. UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xueyan Zhang, Jinman Zhao, Zhifei Yang, et al.2025 · 14 citations
10. REARANK: Reasoning Re-ranking Agent via Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Le Zhang, Bo Wang, Xipeng Qiu, et al.2025 · 12 citations
11. ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Yu Sun, Xingyu Qian, Weiwen Xu, et al.2025 · 11 citations
12. Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RLarXiv:2505.17952Che Liu, Haozhe Wang, Jiazhen Pan, et al.2025 · 10 citations
13. Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Chongyuan Dai, Jinpeng Hu, Hongchang Shi, et al.2026 · 8 citations
14. Tiny Budgets, Big Gains: Parameter Placement Strategy in Parameter Super-Efficient Fine-TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Jinman Zhao, Xueyan Zhang, Jiaru Li, et al.2025 · 8 citations
15. DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language ModelsFindings of the Association for Computational LinguisticsYakun Zhu, Zhongzhen Huang, Linjie Mu, et al.2026 · 7 citations
16. CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Eric Onyame, Akash Ghosh, Subhadip Baidya, et al.2026 · 5 citations
17. ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongxin Ding, Baixiang Huang, Yue Fang, et al.2026 · 4 citations
18. DeepMed: Building a Medical DeepResearch Agent via Multi-hop Med-Search Data and Turn-Controlled Agentic Training & InferenceFindings of the Association for Computational LinguisticsZihan Wang, Hao Wang, Shi Feng, et al.2026 · 1 citation
19. FinCall-Surprise: A Large Scale Multi-modal Benchmark for Earning Surprise PredictionAnnual Meeting of the Association for Computational Linguistics (ACL)Dong Shu, Yanguang Liu, Huopu Zhang, et al.2026 · 1 citation
20. How Robust Are Large Language Models for Clinical Numeracy? An Empirical Study on Numerical Reasoning Abilities in Clinical ContextsFindings of the Association for Computational LinguisticsMinh-Vuong Nguyen, Fatemeh Shiri, Zhuang Li, et al.2026 · 1 citation
21. Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Rahul Thapa, Qingyang Wu, Kevin Wu, et al.2026 · 1 citation
22. TAGS: A Test-Time Generalist–Specialist Framework with Retrieval-Augmented Reasoning and VerificationFindings of the Association for Computational LinguisticsJianghao Wu, Feilong Tang, Yulong Li, et al.2026 · 1 citation
23. A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Shengji Tang, Jianjian Cao, Weihao Lin, et al.2026
24. Balancing Knowledge Breadth and Task Depth for Effective Domain Adaptation Fine-TuningFindings of the Association for Computational LinguisticsMu Zhang, Yuxiang Chu, Guangya Yu, et al.2026
25. CAMEC: Complexity-Aware Multi-Expert Collaboration for Reliable Chinese Medical Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Yukang Wu, Xiyuan Jia, Jiayi Wu, et al.2026
26. Can LLMs Reason Like Doctors? Exploring the Limits of Large Language Models in Complex Medical ReasoningFindings of the Association for Computational LinguisticsFlavio Merenda, Jose Manuel Gomez-Perez, German Rigau2026
27. ClinAlign: Scaling Healthcare Alignment from Clinician PreferenceFindings of the Association for Computational LinguisticsShiwei Lyu, Xidong Wang, Hao Zhu, et al.2026
28. Crossing the Reward Bridge: Expanding Reinforcement Learning with Verifiable Rewards Across Diverse DomainsAnnual Meeting of the Association for Computational Linguistics (ACL)Yi Su, Dian Yu, Linfeng Song, et al.2026
29. From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Chen Zhan, Xiaoyu Tan, Gengchen Ma, et al.2026
30. GCIG: GraphRAG-based Cross-document Instruction Generation for Boosting LLM ReasoningFindings of the Association for Computational LinguisticsXiaoliang Xu, Huang Yuan, Junmei Wang, et al.2026
31. GR1: Reinforcement-Enhanced LLM for Geoscience ReasoningFindings of the Association for Computational LinguisticsYule Xie, Jiaxin Ding, Cheng Deng, et al.2026
32. ICDAGENT: Empowering Agentic Large Language Models for Explainable Medical CodingAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyi Yin, Yuanpu Cao, Ting Wang, et al.2026
33. MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric DiagnosisAnnual Meeting of the Association for Computational Linguistics (ACL)Xiao Sun, Ymyang, Xinyi Jiang, et al.2026
34. MFMDQwen: Multilingual Financial Misinformation Detection Based on Large Language ModelWorkshop on Multilinguality in the Era of Large Language ModelsZhiwei Liu, Yuyan Wang, Yuechen Jiang, et al.2026
35. ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model MergingAnnual Meeting of the Association for Computational Linguistics (ACL)Junyao Yang, Chen Qian, Wen Shen, et al.2026
36. SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Peihua Mai, Xuanrong Gao, Youlong Ding, et al.2026
37. Understanding LLMs' summarization capabilities: an analysis of biomedical abstract and lay summary generationFindings of the Association for Computational LinguisticsBatuhan Nursal, Cassie S. Mitchell2026
38. When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical PressureAnnual Meeting of the Association for Computational Linguistics (ACL)Boyu Xiao, Xiuqi Tian, Xuwen Song, et al.2026

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