🧑‍🔬 Who cites Luca Soldaini

1,060 citations of their works from 971 papers of our library (of the 141,840 whose bibliographies we read) · 58 with a page here, the most cited first · ← Luca Soldaini

1. Qwen3 Technical ReportAn Yang, Anfeng Li, Baosong Yang, et al.2025 · 3,276 citations
2. Qwen2.5-VL Technical ReportShuai Bai, Keqin Chen, Xuejing Liu, et al.2025 · 948 citations
3. Kimi k1.5: Scaling Reinforcement Learning with LLMsKimi Team, Angang Du, Bofei Gao, et al.2025 · 413 citations
4. The FineWeb Datasets: Decanting the Web for the Finest Text Data at ScaleGuilherme Penedo, Hynek Kydlíček, Loubna Ben allal, et al.2024 · 404 citations
5. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingNathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 379 citations
6. Qwen3-VL Technical ReportShuai Bai, Yuxuan Cai, Ruizhe Chen, et al.2025 · 330 citations
7. Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation ModelsYanzhao Zhang, Mingxin Li, Dingkun Long, et al.2025 · 313 citations
8. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingZhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 276 citations
9. Understanding R1-Zero-Like Training: A Critical PerspectiveZichen Liu, Changyu Chen, Wenjun Li, et al.2025 · 266 citations
10. RedPajama: an Open Dataset for Training Large Language ModelsMaurice Weber, Daniel Fu, Quentin Anthony, et al.2024 · 247 citations
11. How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMsYi Zeng, Hongpeng Lin, Jingwen Zhang, et al.2024 · 201 citations
12. Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?Yang Yue, Zhiqi Chen, Rui Lu, et al.2025 · 196 citations
13. InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal ModelsJinguo Zhu, Weiyun Wang, Zhe Chen, et al.2025 · 195 citations
14. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 174 citations
15. SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language ModelLoubna Ben Allal, Anton Lozhkov, Elie Bakouch, et al.2025 · 171 citations
16. BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex InstructionsTerry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al.2024 · 163 citations
17. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyWeiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 159 citations
18. DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
19. Process Reinforcement through Implicit RewardsGanqu Cui, Lifan Yuan, Zefan Wang, et al.2025 · 147 citations
20. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsMicrosoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 145 citations
21. Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM ReasoningShenzhi Wang, Le Yu, Chang Gao, et al.2025 · 142 citations
22. Investigating Data Contamination in Modern Benchmarks for Large Language ModelsChunyuan Deng, Yilun Zhao, Xiangru Tang, et al.2024 · 137 citations
23. DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal UnderstandingZhiyu Wu, Xiaokang Chen, Zizheng Pan, et al.2024 · 135 citations
24. Fanar: An Arabic-Centric Multimodal Generative AI PlatformFanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.2025 · 127 citations
25. Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base ModelJingcheng Hu, Yinmin Zhang, Qi Han, et al.2025 · 121 citations
26. Demystifying Long Chain-of-Thought Reasoning in LLMsEdward Yeo, Yuxuan Tong, Morry Niu, et al.2025 · 113 citations
27. OpenThoughts: Data Recipes for Reasoning ModelsEtash Guha, Ryan Marten, Sedrick Keh, et al.2025 · 113 citations
28. Olmo 3Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 109 citations
29. MMTEB: Massive Multilingual Text Embedding BenchmarkKenneth Enevoldsen, Isaac Chung, Imene Kerboua, et al.2025 · 101 citations
30. FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every LanguageGuilherme Penedo, Hynek Kydliček, Vinko Sabolčec, et al.2025 · 97 citations
31. GLM-5: from Vibe Coding to Agentic EngineeringAohan Zeng, Xin Lv, Zhenyu Hou, et al.2026 · 89 citations
32. Small Language Models: Survey, Measurements, and InsightsZhenyan Lu, Xiang Li, Dongqi Cai, et al.2024 · 88 citations
33. A Survey on Data Selection for Language ModelsAlon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 85 citations
34. How to Train Long-Context Language Models (Effectively)Tianyu Gao, Alexander Wettig, Howard Yen, et al.2025 · 84 citations
35. Do Membership Inference Attacks Work on Large Language Models?Michael Duan, Anshuman Suri, Niloofar Mireshghallah, et al.2024 · 80 citations
36. BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive RetrievalHongjin Su, Howard Yen, Mengzhou Xia, et al.2024 · 70 citations
37. Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsAlejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, et al.2026 · 67 citations
38. Seed1.5-VL Technical ReportDong Guo, Faming Wu, Feida Zhu, et al.2025 · 64 citations
39. mmBERT: A Modern Multilingual Encoder with Annealed Language LearningMarc Marone, Orion Weller, William Fleshman, et al.2025 · 59 citations
40. Kimi-Audio Technical ReportKimiTeam, Ding Ding, Zeqian Ju, et al.2025 · 57 citations
41. DeepSeek-OCR: Contexts Optical CompressionHaoran Wei, Yaofeng Sun, Yukun Li2025 · 52 citations
42. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesChaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 42 citations
43. Jais 2: A Family of Arabic-Centric Open Large Language ModelsMohamed Anwar, Abed Alhakim Freihat, George Ibrahim, et al.2026 · 14 citations
44. AIN: The Arabic INclusive Large Multimodal ModelAhmed Heakl, Sara Ghaboura, Omkar Thawkar, et al.2025 · 11 citations
45. Arabic Stable LM: Adapting Stable LM 2 1.6B to ArabicZaid Alyafeai, Michael Pieler, Hannah Teufel, et al.2024 · 6 citations
46. MindSET: Advancing Mental Health Benchmarking through Large-Scale Social Media DataSaad Mankarious, Edward Kempa, Daniel Wiechmann, et al.2026 · 4 citations
47. Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMsShaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.2026 · 2 citations
48. CARMA: Comprehensive Automatically-annotated Reddit Mental Health Dataset for ArabicSaad Mankarious, Ayah Zirikly2025 · 2 citations
49. BSC's Submission to the Instruction Following Track of IWSLT 2026Oriol Pareras, Joan Llado, Pol Buitrago, et al.2026 · 1 citation
50. Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus ConstructionsWesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider, et al.2026 · 1 citation
51. Style Transfer as Bias Mitigation: Diffusion Models for Synthetic Mental Health Text for ArabicSaad Mankarious, Aya Zirikly2026 · 1 citation
52. ADHD-Lang: A Large-Scale Social Media Dataset for Verbal Behavior and Digital Phenotyping in Adult ADHDDaniel Wiechmann, Elma Kerz, Edward Kempa, et al.2026
53. Dialectal Filtering: Synthesizing Kurdish Corpora for Low-Resource Varieties by Utilizing “Noise” in Large Textual DataChristian Schuler, Raman Ahmad, Ānrán Wáng, et al.2026
54. How Far Can Bias Go? Tracing Bias from Pre-Training Data to AlignmentMarion Thaler, Abdullatif Köksal, Alina Leidinger, et al.2026
55. MUC-4 Revisited: Document-level Event Analysis beyond Span-based ArgumentsHelene Bøsei Olsen, Erik Velldal, Lilja Øvrelid2026
56. Probing the Dynamics of Syntactic Ability Acquisition Throughout LLM PretrainingHiroshi Matsuda, Masayuki Asahara2026
57. Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional LearningMaggie Mi, Golzar Atefi, Atsuki Yamaguchi, et al.2026
58. Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationShenbin Qian, Yves Scherrer2026

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