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Who cites Robert Dadashi

5,761 citations of their works from 5,175 papers of our library (of the 149,439 whose bibliographies we read) · 1,355 with a page here, the most cited first · page 5 of 14 · 401–500 · ← Robert Dadashi

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  1. BOND: Aligning LLMs with Best-of-N DistillationarXiv:2407.14622Pier Giuseppe Sessa, Robert Dadashi, Leonard Hussenot, et al.2024 · 23 citations
  2. Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language ModelarXiv:2404.04167Xinrun Du; Zhouliang Yu; Songyang Gao; Ding Pan; Yuyang Cheng; Ziyang Ma; Ruibin Yuan; Xingwei Qu; Jiaheng Liu; Tianyu Zheng; Xinchen Luo; Guorui Zhou; Wenhu Chen;, Ge Zhang2024 · 23 citations
  3. MiniCPM4: Ultra-Efficient LLMs on End DevicesarXiv:2506.07900MiniCPM Team, Chaojun Xiao, Yuxuan Li, et al.2025 · 22 citations
  4. Scaling Latent Reasoning via Looped Language ModelsarXiv:2510.25741Rui-Jie Zhu, Zixuan Wang, Kai Hua, et al.2025 · 22 citations
  5. The Leaderboard IllusionConference on Neural Information Processing Systems (NeurIPS)Shivalika Singh, Yiyang Nan, Alex Wang, et al.2025 · 22 citations
  6. AI Sandbagging: Language Models can Strategically Underperform on EvaluationsarXiv:2406.07358Teun van der Weij, Felix Hofstatter, Ollie Jaffe, et al.2024 · 22 citations
  7. Learning How Hard to Think: Input-Adaptive Allocation of LM ComputationarXiv:2410.04707Mehul Damani, Idan Shenfeld, Andi Peng, et al.2024 · 22 citations
  8. West-of-N: Synthetic Preferences for Self-Improving Reward ModelsarXiv:2401.12086Alizee Pace, Jonathan Mallinson, Eric Malmi, et al.2024 · 22 citations
  9. CodeI/O: Condensing Reasoning Patterns via Code Input-Output PredictionarXiv:2502.07316Junlong Li, Daya Guo, Dejian Yang, et al.2025 · 21 citations
  10. MoRAL: MoE Augmented LoRA for LLMs' Lifelong LearningarXiv:2402.11260Shu Yang; Muhammad Asif Ali; Cheng-Long Wang; Lijie Hu;, Di Wang2024 · 21 citations
  11. Personality Alignment of Large Language ModelsarXiv:2408.11779Minjun Zhu, Yixuan Weng, Linyi Yang, et al.2024 · 21 citations
  12. MindSearch: Mimicking Human Minds Elicits Deep AI SearcherarXiv:2407.20183Zehui Chen, Kuikun Liu, Qiuchen Wang, et al.2024 · 20 citations
  13. MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific UnderstandingarXiv:2407.04903Zekun Li, Xianjun Yang, Kyuri Choi, et al.2024 · 20 citations
  14. Self-Improvement in Language Models: The Sharpening MechanismarXiv:2412.01951Audrey Huang; Adam Block; Dylan J. Foster; Dhruv Rohatgi; Cyril Zhang; Max Simchowitz; Jordan T. Ash;, Akshay Krishnamurthy2024 · 20 citations
  15. From AI for Science to Agentic Science: A Survey on Autonomous Scientific DiscoveryarXiv:2508.14111Jiaqi Wei, Yuejin Yang, Xiang Zhang, et al.2025 · 19 citations
  16. In-Context Principle Learning from MistakesarXiv:2402.05403Tianjun Zhang, Aman Madaan, Luyu Gao, et al.2024 · 19 citations
  17. Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language modelsarXiv:2405.02287Piotr Padlewski, Max Bain, Matthew Henderson, et al.2024 · 19 citations
  18. Do Large Language Models Understand Word Senses?Domenico Meconi, Simone Stirpe, Federico Martelli2025 · 18 citations
  19. CamelEval: Advancing Culturally Aligned Arabic Language Models and BenchmarksarXiv:2409.12623Zhaozhi Qian, Faroq Altam, Muhammad Alqurishi, et al.2024 · 18 citations
  20. Chinchilla Scaling: A replication attemptarXiv:2404.10102Tamay Besiroglu, Ege Erdil, Matthew Barnett, et al.2024 · 18 citations
  21. Densing Law of LLMsarXiv:2412.04315Chaojun Xiao, Jie Cai, Weilin Zhao, et al.2024 · 18 citations
  22. Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and PlanningarXiv:2312.05230Zhiting Hu, Tianmin Shu2023 · 18 citations
  23. Hunyuan-MT Technical ReportarXiv:2509.05209Mao Zheng, Zheng Li, Bingxin Qu, et al.2025 · 17 citations
  24. Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-ThoughtarXiv:2504.05599Yi Peng, Peiyu Wang, Xiaokun Wang, et al.2025 · 17 citations
  25. MultiPragEval: Multilingual Pragmatic Evaluation of Large Language ModelsProceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLPDojun Park, Jiwoo Lee, Seohyun Park, et al.2024 · 17 citations
  26. Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource TranslationConference on Machine Translation (WMT)Vivek Iyer; Bhavitvya Malik; Pavel Stepachev; Pinzhen Chen; Barry Haddow;, Alexandra Birch2024 · 17 citations
  27. PL-MTEB: Polish Massive Text Embedding BenchmarkFindings of the Association for Computational LinguisticsRafał Poświata, Sławomir Dadas, Michał Wiktor Perełkiewicz2026 · 16 citations
  28. Sparks of Science: Hypothesis Generation Using Structured Paper DataarXiv:2504.12976Charles O'Neill, Tirthankar Ghosal, Roberta R\uaileanu, et al.2025 · 16 citations
  29. Towards Reasoning Ability of Small Language ModelsarXiv:2502.11569Gaurav Srivastava, Shuxiang Cao, Xuan Wang2025 · 16 citations
  30. Linearizing Large Language ModelsarXiv:2405.06640Jean Mercat, Igor Vasiljevic, Sedrick Keh, et al.2024 · 16 citations
  31. MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn InteractionsarXiv:2405.19444Zhenwen Liang, Dian Yu, Wenhao Yu, et al.2024 · 16 citations
  32. Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and PerformancearXiv:2507.22448Jingwei Zuo, Maksim Velikanov, Ilyas Chahed, et al.2025 · 15 citations
  33. Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction CapabilitiesShaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.2024 · 15 citations
  34. DafnyBench: A Benchmark for Formal Software VerificationarXiv:2406.08467Chloe Loughridge, Qinyi Sun, Seth Ahrenbach, et al.2024 · 15 citations
  35. Jais 2: A Family of Arabic-Centric Open Large Language ModelsarXiv:2608.13580Mohamed Anwar, Abed Alhakim Freihat, George Ibrahim, et al.2026 · 14 citations
  36. MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought ReasoningarXiv:2505.20096Thang Nguyen, Peter Chin, Yu-Wing Tai2025 · 14 citations
  37. Mastering Board Games by External and Internal Planning with Language ModelsarXiv:2412.12119John Schultz, Jakub Adamek, Matej Jusup, et al.2024 · 14 citations
  38. The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR SummarizationarXiv:2403.17031Shengyi Huang, Michael Noukhovitch, Arian Hosseini, et al.2024 · 14 citations
  39. AFRIDOC-MT: Document-level MT Corpus for African LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Jesujoba Oluwadara Alabi, Israel Abebe Azime, Miaoran Zhang, et al.2025 · 13 citations
  40. OmniScience: A Domain-Specialized LLM for Scientific Reasoning and DiscoveryarXiv:2503.17604Vignesh Prabhakar, Md Amirul Islam, Adam Atanas, et al.2025 · 13 citations

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