🧑‍🔬 Who cites Chaojie Wang

158 citations of their works from 147 papers of our library (of the 149,439 whose bibliographies we read) · 45 with a page here, the most cited first · ← Chaojie Wang

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. Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, et al.2026 · 68 citations
3. Inference-Time Scaling for Generalist Reward ModelingarXiv:2504.02495Zijun Liu, Peiyi Wang, Runxin Xu, et al.2025 · 65 citations
4. RM-R1: Reward Modeling as ReasoningarXiv:2505.02387Xiusi Chen, Gaotang Li, Ziqi Wang, et al.2025 · 49 citations
5. Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI SynergyarXiv:2507.01352Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, et al.2025 · 48 citations
6. 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
7. Evaluating Language Models as Synthetic Data GeneratorsAnnual Meeting of the Association for Computational Linguistics (ACL)Seungone Kim, Juyoung Suk, Xiang Yue, et al.2025 · 32 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. Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text PerceptionsAnnual Meeting of the Association for Computational Linguistics (ACL)Matthias Orlikowski, Jiaxin Pei, Paul Röttger, et al.2025 · 22 citations
10. ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process RewardingInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Zhongxiang Sun, Qipeng Wang, Weijie Yu, et al.2025 · 22 citations
11. MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Justin Chen, Archiki Prasad, Swarnadeep Saha, et al.2025 · 20 citations
12. Improve LLM-as-a-Judge Ability as a General AbilityConference on Empirical Methods in Natural Language Processing (EMNLP)Jiachen Yu, Shaoning Sun, Xiaohui Hu, et al.2025 · 15 citations
13. JuStRank: Benchmarking LLM Judges for System RankingAnnual Meeting of the Association for Computational Linguistics (ACL)Ariel Gera, Odellia Boni, Yotam Perlitz, et al.2025 · 15 citations
14. What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Gangwei Jiang, Yahui Liu, Zhaoyi Li, et al.2025 · 11 citations
15. An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Sun, Qianlong Du, Fuwei Cui, et al.2025 · 10 citations
16. PERM: Psychology-grounded Empathetic Reward Modeling for Large Language ModelsFindings of the Association for Computational LinguisticsChengbing Wang, Wuqiang Zheng, Yang Zhang, et al.2026 · 8 citations
17. Reason Only When Needed: Efficient Generative Reward Modeling via Model-Internal UncertaintyFindings of the Association for Computational LinguisticsChao Xue, Yao Wang, Mengqiao Liu, et al.2026 · 8 citations
18. MetaScale: Test-Time Scaling with Evolving Meta-ThoughtsFindings of the Association for Computational LinguisticsQin Liu, Wenxuan Zhou, Nan Xu, et al.2026 · 7 citations
19. Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Renliang Sun, Wei Cheng, Dawei Li, et al.2026 · 7 citations
20. G2: Guided Generation for Enhanced Output Diversity in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhiwen Ruan, Yixia Li, Yefeng Liu, et al.2025 · 6 citations
21. When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Ammar Khairi, Daniel D'souza, Ye Shen, et al.2025 · 6 citations
22. Spotlight Your Instructions: Instruction-following with Dynamic Attention SteeringConference of the European Chapter of the Association for Computational Linguistics (EACL)Praveen Venkateswaran, Danish Contractor2026 · 4 citations
23. Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Binghai Wang, Yantao Liu, Yuxuan Liu, et al.2026 · 3 citations
24. OpenGenAlign: A Preference Dataset and Benchmark for Trustworthy Reward Modeling in Open-Ended, Long-Context GenerationFindings of the Association for Computational LinguisticsHanning Zhang, Juntong Song, Juno Zhu, et al.2026 · 2 citations
25. Preference Learning Unlocks LLMs' Psycho-Counseling SkillsFindings of the Association for Computational LinguisticsMian Zhang, Shaun M. Eack, Zhiyu Chen2026 · 2 citations
26. 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
27. Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyuan Yang, Wenxuan Ding, Shangbin Feng, et al.2026 · 1 citation
28. CoAct: Co-Active LLM Preference Learning with Human-AI SynergyAnnual Meeting of the Association for Computational Linguistics (ACL)Ruiyao Xu, Mihir Parmar, Tiankai Yang, et al.2026 · 1 citation
29. Distillation Traps and Guards: A Calibration Knob for LLM DistillabilityAnnual Meeting of the Association for Computational Linguistics (ACL)Weixiao Zhan, Yongcheng Jing, Leszek Rutkowski, et al.2026 · 1 citation
30. From Individual to Common: An Early Exploration of Consensus in Non-verifiable Data for Balanced Preference OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Shangjian Yin, Zhouxing Shi2026 · 1 citation
31. 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
32. 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
33. MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Zhao, Hepeng Wang, Xiao Ding, et al.2026 · 1 citation
34. ReportLogic: Evaluating Logical Quality in Deep Research ReportsAnnual Meeting of the Association for Computational Linguistics (ACL)Jujia Zhao, Zhaoxin Huan, Zihan Wang, et al.2026 · 1 citation
35. SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data UtilityAnnual Meeting of the Association for Computational Linguistics (ACL)Xuyang Zhi, Peilun Zhou, Chengqiang Lu, et al.2026 · 1 citation
36. AdaJudge: Adaptive Multi-Perspective Judging for Reward ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Yongliang Miao, Yangyang Liang, Mengnan Du2026
37. Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaxuan Wang, Yulan Hu, Wenjin Yang, et al.2026
38. ConMA : Confidence-Guided Kernel Sampling with Multi-Stage Aggregation for LLM ReasoningFindings of the Association for Computational LinguisticsYinuo Wang, Qingjie Li, Wenyao Cui, et al.2026
39. From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic HorizonsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangyu Ma, Teng Xiao, Zuchao Li, et al.2026
40. Learning to Refine: Self-Refinement of Parallel Reasoning in LLMsFindings of the Association for Computational LinguisticsQibin Wang, Pu Zhao, Shaohan Huang, et al.2026
41. QuantumQA: Enhancing Scientific Reasoning via Physics-Consistent Dataset and Verification-Aware Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Songxin Qu, Tai-Ping Sun, Yun-Jie Wang, et al.2026
42. ReflectRM: Boosting Generative Reward Models via Self-Reflection within a Unified Judgment FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Kai Qin, Liangxin Liu, Yu Liang, et al.2026
43. Verifying the Subjective: Structured Multilingual Rewards for Low-Resource AlignmentFindings of the Association for Computational LinguisticsJiu Sha, Mengxiao Zhu2026
44. When Users Are Happy but Agents Are Wrong: Multi-Dimensional Evaluation of Tool-Augmented DialogueWorkshop on Generation, Evaluation and Metrics (GEM)Tanya Shourya, Yingfan Wang, Zhaoyi Joey Hou, et al.2026
45. WildReward: Learning Reward Models from In-the-Wild Human InteractionsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.2026

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