🧑‍🔬 Who cites Rachel Dias

161 citations of their works from 160 papers of our library (of the 149,439 whose bibliographies we read) · 45 with a page here, the most cited first · ← Rachel Dias

1. OpenAI o1 System CardarXiv:2412.16720OpenAI, Aaron Jaech, Adam Kalai, et al.2024 · 1,110 citations
2. gpt-oss-120b & gpt-oss-20b Model CardarXiv:2508.10925OpenAI: Sandhini Agarwal, Lama Ahmad, Jason Ai, et al.2025 · 576 citations
3. Kimi K2: Open Agentic IntelligencearXiv:2507.20534Kimi Team, Yifan Bai, Yiping Bao, et al.2025 · 347 citations
4. OpenAI GPT-5 System CardarXiv:2601.03267Aaditya Singh, Adam Fry, Adam Perelman, et al.2025 · 279 citations
5. HealthBench: Evaluating Large Language Models Towards Improved Human HealtharXiv:2505.08775Rahul K. Arora, Jason Wei, Rebecca Soskin Hicks, et al.2025 · 126 citations
6. HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMsarXiv:2412.18925Junying Chen, Zhenyang Cai, Ke Ji, et al.2024 · 87 citations
7. MoBA: Mixture of Block Attention for Long-Context LLMsConference on Neural Information Processing Systems (NeurIPS)Enzhe Lu, Zhejun Jiang, Jingyuan Liu, et al.2025 · 80 citations
8. Kimi K2.5: Visual Agentic IntelligencearXiv:2602.02276Kimi Team, Tongtong Bai, Yifan Bai, et al.2026 · 66 citations
9. Monitoring Reasoning Models for Misbehavior and the Risks of Promoting ObfuscationarXiv:2503.11926Bowen Baker, Joost Huizinga, Leo Gao, et al.2025 · 63 citations
10. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
11. SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language ModelsarXiv:2406.09098Kehua Feng, Xinyi Shen, Weijie Wang, et al.2024 · 36 citations
12. The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1International Joint Conference on Natural Language Processing (IJCNLP)Kaiwen Zhou, Chengzhi Liu, Xuandong Zhao, et al.2025 · 30 citations
13. The State of Multilingual LLM Safety Research: From Measuring The Language Gap To Mitigating ItConference on Empirical Methods in Natural Language Processing (EMNLP)Zheng Xin Yong, Beyza Ermis, Marzieh Fadaee, et al.2025 · 25 citations
14. Personalized Generation In Large Model Era: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Yiyan Xu, Jinghao Zhang, Alireza Salemi, et al.2025 · 24 citations
15. A Survey on Evaluation of LLM-based AgentsFindings of the Association for Computational LinguisticsAsaf Yehudai, Lilach Eden, Alan Li, et al.2026 · 21 citations
16. SaRO: Enhancing LLM Safety through Reasoning-based AlignmentarXiv:2504.09420Yutao Mou, Yuxiao Luo, Shikun Zhang, et al.2025 · 11 citations
17. EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific DiscoveryarXiv:2603.08127Yougang Lyu, Xi Zhang, Xinhao Yi, et al.2026 · 10 citations
18. 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
19. RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Sunzhu Li, Jiale Zhao, Huimin Ren, et al.2026 · 9 citations
20. 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language ModelsarXiv:2505.00551Chong Zhang, Yue Deng, Xiang Lin, et al.2025 · 9 citations
21. Guiding Reasoning in Small Language Models with LLM AssistancearXiv:2504.09923Yujin Kim, Euiin Yi, Minu Kim, et al.2025 · 9 citations
22. SafeKey: Amplifying Aha-Moment Insights for Safety ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Kaiwen Zhou, Xuandong Zhao, Jayanth Srinivasa, et al.2025 · 9 citations
23. Red Teaming Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiawei Chen, Yang Yang, Chao Yu, et al.2026 · 7 citations
24. AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model DiscoveryarXiv:2604.05550Yu Li, Chenyang Shao, Xinyang Liu, et al.2026 · 5 citations
25. Patient-Similarity Cohort Reasoning in Clinical Text-to-SQLConference of the European Chapter of the Association for Computational Linguistics (EACL)Yifei Shen, Yilun Zhao, Justice Ou, et al.2026 · 4 citations
26. Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and OpportunitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Changdae Oh, Seongheon Park, To Eun Kim, et al.2026 · 4 citations
27. Beyond “I Don't Know”: Evaluating LLM Self-Awareness in Discriminating Data and Model UncertaintyAnnual Meeting of the Association for Computational Linguistics (ACL)Jingyi Ren, Ante Wang, Yunghwei Lai, et al.2026 · 3 citations
28. RubricBench: Aligning Model-Generated Rubrics with Human StandardsAnnual Meeting of the Association for Computational Linguistics (ACL)Junyi Zhou, Qiyuan Zhang, Yufei Wang, et al.2026 · 3 citations
29. WASIL: In-the-Wild Arabic Spoken Interactions with LLMsarXiv:2605.16364Zien Sheikh Ali, Hamdy Mubarak, Soon-Gyo Jung, et al.2026 · 2 citations
30. Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Pu, Chaozhuo Li, Rui Ha, et al.2026 · 1 citation
31. Knowing-but-Doing: Diagnosing and Defending Role-Play-Driven LLMs Jailbreaks via Moral DisengagementFindings of the Association for Computational LinguisticsHaiming Qin, Jianxun Lian, Qimin Zhong, et al.2026 · 1 citation
32. Reasoning Up the Instruction Ladder for Controllable Language ModelsFindings of the Association for Computational LinguisticsZishuo Zheng, Vidhisha Balachandran, Chan Young Park, et al.2026 · 1 citation
33. When Models Outthink Their Safety: Unveiling and Mitigating Self-Jailbreak in Large Reasoning ModelsFindings of the Association for Computational LinguisticsYingzhi Mao, Chunkang Zhang, Junxiang Wang, et al.2026 · 1 citation
34. Arabic Safety Alignment as Selective Refusal: An Empirical Study of SFT, DPO, and Guard CalibrationarXiv:2608.29378Mohamad Zbib, Ammar Mohanna2026
35. Benchmarking and Mitigating the Impact of Noisy User Prompts in Medical VLMs via Cross-Modal ReflectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Zhiyu Xue, Reza Abbasi-Asl, Ramtin Pedarsani2026
36. Can AI Revise Research Papers with Human Review Feedback? An Empirical Study and BenchmarkFindings of the Association for Computational LinguisticsZihan Luo, Hong Huang, Jianxun Lian, et al.2026
37. ClinAlign: Scaling Healthcare Alignment from Clinician PreferenceFindings of the Association for Computational LinguisticsShiwei Lyu, Xidong Wang, Hao Zhu, et al.2026
38. Curing Miracle Steps in LLM Mathematical Reasoning with Rubric RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Youliang Yuan, Qiuyang Mang, Jingbang Chen, et al.2026
39. Deactivating Refusal Triggers: Understanding and Mitigating Overrefusal in Safety AlignmentWorkshop on Trustworthy NLPZhiyu Xue, Zimo Qi, Guangliang Liu, et al.2026
40. From Conversation to Evaluation: Benchmarking LLMs on Development Knowledge via SimpleDevQAFindings of the Association for Computational LinguisticsJing Zhang, Lianghong Guo, Yanlin Wang, et al.2026
41. MMSciCode: Real-world Evaluation of Multilingual Multi-Discipline Scientific Research CodingAnnual Meeting of the Association for Computational Linguistics (ACL)Xue Xia, Zheyuan Yang, Arman Cohan, et al.2026
42. Open-Domain Safety Policy ConstructionFindings of the Association for Computational LinguisticsDi Wu, Siyue Liu, Zixiang Ji, et al.2026
43. Retrieval-Augmented Defense: Adaptive and Controllable Jailbreak Prevention for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Guangyu Yang, Jinghong Chen, Jingbiao Mei, et al.2026
44. SafetyMem: Adaptive Jailbreak Defense via Dual-Component Safety MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wang, Ziyi Ni, Huacan Wang, et al.2026
45. What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Yujie Luo, Zhuoyun Yu, Xuehai Wang, et al.2026

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