🧑‍🔬 Who cites Alon Albalak

743 citations of their works from 682 papers of our library (of the 141,840 whose bibliographies we read) · 40 with a page here, the most cited first · ← Alon Albalak

1. s1: Simple test-time scalingNiklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 584 citations
2. Kimi k1.5: Scaling Reinforcement Learning with LLMsKimi Team, Angang Du, Bofei Gao, et al.2025 · 413 citations
3. The FineWeb Datasets: Decanting the Web for the Finest Text Data at ScaleGuilherme Penedo, Hynek Kydlíček, Loubna Ben allal, et al.2024 · 404 citations
4. TIES-Merging: Resolving Interference When Merging ModelsPrateek Yadav, Derek Tam, Leshem Choshen, et al.2023 · 308 citations
5. RedPajama: an Open Dataset for Training Large Language ModelsMaurice Weber, Daniel Fu, Quentin Anthony, et al.2024 · 247 citations
6. TrustLLM: Trustworthiness in Large Language ModelsYue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
7. FOLIO: Natural Language Reasoning with First-Order LogicSimeng Han, Hailey Schoelkopf, Yilun Zhao, et al.2022 · 217 citations
8. Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!Yubo Ma, Yixin Cao, Yong Hong, et al.2023 · 211 citations
9. LIMO: Less is More for ReasoningYixin Ye, Zhen Huang, Yang Xiao, et al.2025 · 204 citations
10. OpenHands: An Open Platform for AI Software Developers as Generalist AgentsXingyao Wang, Boxuan Li, Yufan Song, et al.2024 · 190 citations
11. 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
12. SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language ModelLoubna Ben Allal, Anton Lozhkov, Elie Bakouch, et al.2025 · 171 citations
13. LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic ProversTheo X. Olausson, Alex Gu, Benjamin Lipkin, et al.2023 · 171 citations
14. When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMsRyo Kamoi, Yusen Zhang, Nan Zhang, et al.2024 · 159 citations
15. DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
16. Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and BeyondFangzhi Xu, Qika Lin, Jiawei Han, et al.2023 · 141 citations
17. Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction StrategiesLiangming Pan, Michael Saxon, Wenda Xu, et al.2024 · 140 citations
18. To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoningZayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al.2024 · 133 citations
19. Faithful Logical Reasoning via Symbolic Chain-of-ThoughtJundong Xu, Hao Fei, Liangming Pan, et al.2024 · 129 citations
20. Fanar: An Arabic-Centric Multimodal Generative AI PlatformFanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.2025 · 127 citations
21. OpenThoughts: Data Recipes for Reasoning ModelsEtash Guha, Ryan Marten, Sedrick Keh, et al.2025 · 113 citations
22. Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRsKanishk Gandhi, Ayush Chakravarthy, Anikait Singh, et al.2025 · 110 citations
23. Olmo 3Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 109 citations
24. 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
25. GLM-5: from Vibe Coding to Agentic EngineeringAohan Zeng, Xin Lv, Zhenyu Hou, et al.2026 · 89 citations
26. Small Language Models: Survey, Measurements, and InsightsZhenyan Lu, Xiang Li, Dongqi Cai, et al.2024 · 88 citations
27. A Survey on Data Selection for Language ModelsAlon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 85 citations
28. How to Train Long-Context Language Models (Effectively)Tianyu Gao, Alexander Wettig, Howard Yen, et al.2025 · 84 citations
29. Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsAlejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, et al.2026 · 67 citations
30. Inference-Time Scaling for Generalist Reward ModelingZijun Liu, Peiyi Wang, Runxin Xu, et al.2025 · 64 citations
31. Seed1.5-VL Technical ReportDong Guo, Faming Wu, Feida Zhu, et al.2025 · 64 citations
32. mmBERT: A Modern Multilingual Encoder with Annealed Language LearningMarc Marone, Orion Weller, William Fleshman, et al.2025 · 59 citations
33. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesChaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 42 citations
34. When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM ReasoningNishad Singhi, Hritik Bansal, Arian Hosseini, et al.2025 · 12 citations
35. Arabic Stable LM: Adapting Stable LM 2 1.6B to ArabicZaid Alyafeai, Michael Pieler, Hannah Teufel, et al.2024 · 6 citations
36. GIL-Zaragoza at SemEval 2026 Task 11: Comparing Classification, Autoformalization, and Ontologies for Formal Reasoning CapabilitiesFrancisco Lopez-Ponce, Lucia Pitarch, Iván Saavedra Martínez, et al.2026 · 1 citation
37. Consistency of LLMs to Comparative Statements in Mathematical Reasoning TasksAidan W. San, Daniel Juyoung Son, Xiaodong Liu, et al.2026
38. Dialectal Filtering: Synthesizing Kurdish Corpora for Low-Resource Varieties by Utilizing “Noise” in Large Textual DataChristian Schuler, Raman Ahmad, Ānrán Wáng, et al.2026
39. Probing the Dynamics of Syntactic Ability Acquisition Throughout LLM PretrainingHiroshi Matsuda, Masayuki Asahara2026
40. SmolKalam: Ensemble Quality-Filtered Translation at Scale for High Quality Arabic Post-Training DataSultan Alrashed, Chadi Helwe, Francesco Orabona2025

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