🧑‍🔬 Who cites Timo Kaufmann

63 citations of their works from 63 papers of our library (of the 149,439 whose bibliographies we read) · 24 with a page here, the most cited first · ← Timo Kaufmann

1. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
2. HybridFlow: A Flexible and Efficient RLHF FrameworkarXiv:2409.19256Guangming Sheng, Chi Zhang, Zilingfeng Ye, et al.2024 · 624 citations
3. Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningarXiv:2503.09516Bowen Jin, Hansi Zeng, Zhenrui Yue, et al.2025 · 322 citations
4. ToolRL: Reward is All Tool Learning NeedsarXiv:2504.13958Cheng Qian, Emre Can Acikgoz, Qi He, et al.2025 · 94 citations
5. Secrets of RLHF in Large Language Models Part II: Reward ModelingarXiv:2401.06080Binghai Wang, Rui Zheng, Lu Chen, et al.2024 · 72 citations
6. Safer or Luckier? LLMs as Safety Evaluators Are Not Robust to ArtifactsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongyu Chen, Seraphina Goldfarb-Tarrant2025 · 13 citations
7. LLM-Based Human-Agent Collaboration and Interaction Systems: A SurveyFindings of the Association for Computational LinguisticsHenry Peng Zou, Wei-Chieh Huang, Yaozu Wu, et al.2026 · 12 citations
8. EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language ModelsarXiv:2402.11430Jun Gao, Huan Zhao, Wei Wang, et al.2024 · 11 citations
9. A Survey of Inductive Reasoning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Kedi Chen, Dezhao Ruan, Yuhao Dan, et al.2026 · 10 citations
10. Automatic Reviewers Fail to Detect Faulty Reasoning in Research Papers: A New Counterfactual Evaluation FrameworkTransactions of the Association for Computational Linguistics (TACL)Nils Dycke, Iryna Gurevych2026 · 5 citations
11. Can LLMs Automate Fact-Checking Article Writing?Transactions of the Association for Computational Linguistics (TACL)Dhruv Sahnan, David Corney, Irene Larraz, et al.2026 · 5 citations
12. AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph ConstructionAnnual Meeting of the Association for Computational Linguistics (ACL)Hong Ting Tsang, Jiaxin Bai, Haoyu Huang, et al.2026 · 4 citations
13. 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
14. 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
15. Position: From Noise to Signal to Selbstzweck - Reframing Human Label Variation in the Era of Post-training in NLPFindings of the Association for Computational LinguisticsShanshan Xu, Santosh T.Y.S.S, Barbara Plank2026 · 1 citation
16. CARL: Constraint-Aware Reinforcement Learning for Planning with LLMsFindings of the Association for Computational LinguisticsQiuyi Qi, Jinjian Zhang, Mutian Bao, et al.2026
17. 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
18. Improving LLM Domain Certification with Pretrained Guide ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Jiaqian Zhang, Zhaozhi Qian, Faroq AL-Tam, et al.2026
19. Joint Optimization of Training Data and Policy in RLHFFindings of the Association for Computational LinguisticsZhuohao Yu, Jiali Zeng, Weizheng Gu, et al.2026
20. Nanda Family: Open-Weights Generative Large Language Models for HindiConference of the European Chapter of the Association for Computational Linguistics (EACL)Aaryamonvikram Singh, Debopriyo Banerjee, Dhruv Sahnan, et al.2026
21. NITI: Neural Plan Concretization for Incremental Execution, Bridging and Trigger Inference from Underspecified Human PoliciesFindings of the Association for Computational LinguisticsAyan Banerjee, Shomrik Barua Banerjee, Sandeep Gupta2026
22. PARL: Prompt-based Agents for Reinforcement LearningLanguage Resources and Evaluation Conference (LREC)Yarik Menchaca Resendiz, Roman Klinger2026
23. See2Refine: Vision-Language Feedback Improves LLM-Based eHMI Action DesignersAnnual Meeting of the Association for Computational Linguistics (ACL)Ding Xia, Xinyue Gui, Mark Colley, et al.2026
24. Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social SimulationConference of the European Chapter of the Association for Computational Linguistics (EACL)Bolei Ma, Yong Cao, Indira Sen, et al.2026

39 more citing papers of our library have no page here yet.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/timo-kaufmann/cited-by/