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Who cites Badreddine Noune

367 citations of their works from 366 papers of our library (of the 149,439 whose bibliographies we read) · 99 with a page here, the most cited first · ← Badreddine Noune

  1. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
  2. Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-ServeOSDI 2024Amey Agrawal, Nitin Kedia, Ashish Panwar, et al.2024 · 369 citations
  3. InternLM2 Technical ReportarXiv:2403.17297Zheng Cai, Maosong Cao, Haojiong Chen, et al.2024 · 301 citations
  4. MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training StrategiesarXiv:2404.06395Shengding Hu, Yuge Tu, Xu Han, et al.2024 · 269 citations
  5. SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language ModelarXiv:2502.02737Loubna Ben Allal, Anton Lozhkov, Elie Bakouch, et al.2025 · 181 citations
  6. Moshi: a speech-text foundation model for real-time dialoguearXiv:2410.00037Alexandre Defossez, Laurent Mazare, Manu Orsini, et al.2024 · 157 citations
  7. SaulLM-7B: A pioneering Large Language Model for LawarXiv:2403.03883Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, et al.2024 · 119 citations
  8. QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice CodebooksarXiv:2402.04396Albert Tseng, Jerry Chee, Qingyao Sun, et al.2024 · 117 citations
  9. A Survey on Efficient Inference for Large Language ModelsarXiv:2404.14294Zixuan Zhou, Xuefei Ning, Ke Hong, et al.2024 · 113 citations
  10. DistiLLM: Towards Streamlined Distillation for Large Language ModelsarXiv:2402.03898Jongwoo Ko, Sungnyun Kim, Tianyi Chen, et al.2024 · 112 citations
  11. FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every LanguagearXiv:2506.20920Guilherme Penedo, Hynek Kydliček, Vinko Sabolčec, et al.2025 · 99 citations
  12. Massive Activations in Large Language ModelsarXiv:2402.17762Mingjie Sun, Xinlei Chen, J. Zico Kolter, et al.2024 · 88 citations
  13. Getting the most out of your tokenizer for pre-training and domain adaptationarXiv:2402.01035Gautier Dagan, Gabriel Synnaeve, Baptiste Roziere2024 · 47 citations
  14. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 46 citations
  15. HyperCLOVA X Technical ReportarXiv:2404.01954Kang Min Yoo, Jaegeun Han, Sookyo In, et al.2024 · 44 citations
  16. Observational Scaling Laws and the Predictability of Language Model PerformancearXiv:2405.10938Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 40 citations
  17. Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMsarXiv:2402.12030 · Transactions on Machine Learning Research, January 2025Nicolas Boizard, Kevin El Haddad, Celine Hudelot, et al.2024 · 35 citations
  18. Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language ModelsarXiv:2402.14714Seungduk Kim, Seungtaek Choi, Myeongho Jeong2024 · 29 citations
  19. Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language ModelsarXiv:2403.14859Carina Kauf, Emmanuele Chersoni, Alessandro Lenci, et al.2024 · 29 citations
  20. Personality Alignment of Large Language ModelsarXiv:2408.11779Minjun Zhu, Yixuan Weng, Linyi Yang, et al.2024 · 21 citations
  21. CamelEval: Advancing Culturally Aligned Arabic Language Models and BenchmarksarXiv:2409.12623Zhaozhi Qian, Faroq Altam, Muhammad Alqurishi, et al.2024 · 18 citations
  22. VinaLLaMA: LLaMA-based Vietnamese Foundation ModelarXiv:2312.11011Quan Nguyen, Huy Pham, Dung Dao2023 · 16 citations
  23. Jais 2: A Family of Arabic-Centric Open Large Language ModelsarXiv:2608.13580Mohamed Anwar, Abed Alhakim Freihat, George Ibrahim, et al.2026 · 14 citations
  24. Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models — The Story Goes OnarXiv:2407.08348Liang Zeng, Liangjun Zhong, Liang Zhao, et al.2024 · 14 citations
  25. Why do small language models underperform? Studying Language Model Saturation via the Softmax BottleneckarXiv:2404.07647Nathan Godey, Eric de la Clergerie, Benoit Sagot2024 · 9 citations
  26. Evaluating Arabic Large Language Models: A Survey of Benchmarks, Methods, and GapsarXiv:2510.13430Ahmed Alzubaidi, Shaikha Alsuwaidi, Basma El Amel Boussaha, et al.2025 · 8 citations
  27. From Guidelines to Practice: A New Paradigm for Arabic Language Model EvaluationarXiv:2506.01920Serry Sibaee, Omer Nacar, Adel Ammar, et al.2025 · 8 citations
  28. Arabic Stable LM: Adapting Stable LM 2 1.6B to ArabicarXiv:2412.04277Zaid Alyafeai, Michael Pieler, Hannah Teufel, et al.2024 · 6 citations
  29. Give me a hint: Can LLMs take a hint to solve math problems?arXiv:2410.05915Vansh Agrawal, Pratham Singla, Amitoj Singh Miglani, et al.2024 · 6 citations
  30. The Landscape of Arabic Large Language Models (ALLMs): A New Era for Arabic Language TechnologyarXiv:2506.01340Shahad Al-Khalifa; Nadir Durrani; Hend Al-Khalifa;, Firoj Alam2025 · 4 citations
  31. GemmAr: Enhancing LLMs Through Arabic Instruction-TuningarXiv:2407.02147Hasna Chouikhi, Manel Aloui, Cyrine Ben Hammou, et al.2024 · 4 citations
  32. ALARB: An Arabic Legal Argument Reasoning BenchmarkArabic Natural Language Processing Conference (ArabicNLP)Harethah Abu Shairah, Somayah AlHarbi, Abdulaziz AlHussein, et al.2025 · 3 citations
  33. A Sovereign, Open-Source Foundation Model for German and EnglisharXiv:2607.09424Soofi-Team: Benedikt Droste, David Fitzek, Ruben Harle, et al.2026 · 2 citations
  34. Hypothesis-only Biases in Large Language Model-Elicited Natural Language InferencearXiv:2410.08996Grace Proebsting, Adam Poliak2024 · 2 citations
  35. Large Language Models for Citation Function ClassificationLanguage Resources and Evaluation Conference (LREC)Daniel Vodička, Pavel Kral, Christophe Cerisara, et al.2026 · 1 citation
  36. Towards Inclusive NLP: Assessing Compressed Multilingual Transformers across Diverse Language BenchmarksarXiv:2507.19699Maitha Alshehhi, Ahmed Sharshar, Mohsen Guizani2025 · 1 citation
  37. DRU at WojoodNER 2024: ICL LLM for Arabic NERArabic Natural Language Processing Conference (ArabicNLP)Nancy Hamdan, Hadi Hamoud, Chadi Abou Chakra, et al.2024 · 1 citation
  38. Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language ModelsarXiv:2405.12884Abdurahmman Alzahrani, Eyad Babkier, Faisal Yanbaawi, et al.2024 · 1 citation
  39. ALPS: A Diagnostic Challenge Set for Arabic Linguistic & Pragmatic ReasoningarXiv:2602.17054Hussein S. Al-Olimat, Ahmad Alshareef2026
  40. Grounding Arabic LLMs in the Doha Historical Dictionary: Retrieval-Augmented Understanding of Quran and HaditharXiv:2603.23972Somaya Eltanbouly, Samer Rashwani2026
  41. Mizan: A National Benchmark for Evaluating Large Language Models on Iraqi Arabic and the Iraqi Civic ContextarXiv:2609.13980Nawar S. Alseelawi, Mustafa S. Aljumaily2026
  42. State-of-the-Art Arabic Language Modeling with Sparse MoE Fine-Tuning and Chain-of-Thought DistillationarXiv:2604.06421Navan Preet Singh, Anurag Garikipati, Ahmed Abulkhair, et al.2026
  43. YallaMorph: A Benchmark for Evaluating Arabic Morphological Generation in Large Language ModelsMahmoud Reda, Salam Khalifa, Reham Marzouk, et al.2026
  44. Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health carearXiv:2406.15966Hassan Alhuzali, Ashwag Alasmari2024
  45. Language Adaptation on a Tight Academic Compute Budget: Tokenizer Swapping Works and Pure bfloat16 Is EnougharXiv:2408.15793Konstantin Dobler, Gerard de Melo2024

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