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Who cites Steffi Chern

414 citations of their works from 403 papers of our library (of the 149,439 whose bibliographies we read) · 118 with a page here, the most cited first · page 2 of 2 · 101–118 · ← Steffi Chern

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  1. Towards Stable and Effective Reinforcement Learning for Mixture-of-ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Di Zhang, Xun Wu, Shaohan Huang, et al.2026 · 1 citation
  2. AraEval: An Arabic Multi-Task Evaluation Suite for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Alhanoof Althnian, Norah A. Alzahrani, Shaykhah Z. Alsubaie, et al.2025 · 1 citation
  3. A multilingual hallucination benchmarkWorkshop on the Role of Resources in the Age of Large Language ModelsFreja Thoresen, Dan Saattrup Smart2026
  4. AlgBench: To What Extent Do Large Reasoning Models Understand Algorithms?Findings of the Association for Computational LinguisticsHenan Sun, Kaichi Yu, Yuyao Wang, et al.2026
  5. BrowseConf: Confidence-Guided Test-Time Scaling for Web AgentsFindings of the Association for Computational LinguisticsLitu Ou, Kuan Li, Huifeng Yin, et al.2026
  6. Distributional Clarity: The Hidden Driver of RL-Friendliness in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shaoning Sun, Mingzhu Cai, Huang He, et al.2026
  7. ExpressivityBench: Can LLMs Communicate Implicitly?Findings of the Association for Computational LinguisticsJoshua Tint, Som Sagar, Aditya Taparia, et al.2026
  8. FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMsFindings of the Association for Computational LinguisticsAlbert Sawczyn, Jakub Binkowski, Denis Janiak, et al.2026
  9. Improved Policy Optimization for Mixture-of-Experts Models: Importance Sampling and Rewarding from an Expert-Centric PerspectiveFindings of the Association for Computational LinguisticsYining Qian, Jinpeng Li, Fei Mi, et al.2026
  10. Logical Consistency as a Bridge: Improving LLM Hallucination Detection via Label Constraint Modeling between Responses and Self-JudgmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Mi, Qiang Sheng, Shaofei Wang, et al.2026
  11. MorphoBench: A Benchmark with Difficulty Adaptive to Model ReasoningFindings of the Association for Computational LinguisticsXukai Wang, Xuanbo Liu, Mingrui Chen, et al.2026
  12. Qwen3.8-Omni: Towards Native Omni-Modal AgentsarXiv:2609.25611Qwen Team2026
  13. RIFT: Repurposing Negative Samples via Reward-Informed Fine-TuningFindings of the Association for Computational LinguisticsZehua Liu, Shuqi Liu, Tao Zhong, et al.2026
  14. SciExplore: Evaluating Autonomous Agents from Scientific Navigation to Information IntegrationFindings of the Association for Computational LinguisticsYinhao Tang, Youqing Fang, Yanan Sun, et al.2026
  15. SciPedia: Unlocking the Value of Scientific Data for Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Yiwei Qin, Zhen Huang, Tiantian Mi, et al.2026
  16. The Dog the Cat Chased Stumped the Model: Measuring When Language Models Abandon Structure for ShortcutsConference of the European Chapter of the Association for Computational Linguistics (EACL)Sangmitra Madhusudan, Kaige Chen, Ali Emami2026
  17. WebClipper: Efficient Evolution of Web Agents with Graph-based Trajectory PruningAnnual Meeting of the Association for Computational Linguistics (ACL)Junjie Wang, Zequn Xie, Dan Yang, et al.2026
  18. Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationAnnual Conference of the European Association for Machine Translation (EAMT)Shenbin Qian, Yves Scherrer2026

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