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Who cites Daniel Hesslow

437 citations of their works from 424 papers of our library (of the 149,439 whose bibliographies we read) · 105 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Daniel Hesslow

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  1. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
  2. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  3. Emergent Abilities of Large Language ModelsarXiv:2206.07682Jason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,269 citations
  4. Flamingo: a Visual Language Model for Few-Shot LearningarXiv:2204.14198Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.2022 · 2,246 citations
  5. LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yaowei Zheng, Richong Zhang, Junhao Zhang, et al.2024 · 1,048 citations
  6. Crosslingual Generalization through Multitask FinetuningarXiv:2211.01786Niklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.2022 · 703 citations
  7. BloombergGPT: A Large Language Model for FinancearXiv:2303.17564Shijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 618 citations
  8. The Flan Collection: Designing Data and Methods for Effective Instruction TuningarXiv:2301.13688Shayne Longpre, Le Hou, Tu Vu, et al.2023 · 607 citations
  9. Few-shot Learning with Multilingual Language ModelsarXiv:2112.10668Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, et al.2021 · 500 citations
  10. The Falcon Series of Open Language ModelsarXiv:2311.16867Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 443 citations
  11. BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsFindings of the Association for Computational LinguisticsYanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.2024 · 409 citations
  12. Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-ServeOSDI 2024Amey Agrawal, Nitin Kedia, Ashish Panwar, et al.2024 · 369 citations
  13. Large Language Models Struggle to Learn Long-Tail KnowledgearXiv:2211.08411Nikhil Kandpal, Haikang Deng, Adam Roberts, et al.2022 · 366 citations
  14. UL2: Unifying Language Learning ParadigmsarXiv:2205.05131Yi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.2022 · 347 citations
  15. The Power of Noise: Redefining Retrieval for RAG SystemsInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, et al.2024 · 312 citations
  16. InternLM2 Technical ReportarXiv:2403.17297Zheng Cai, Maosong Cao, Haojiong Chen, et al.2024 · 301 citations
  17. MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training StrategiesarXiv:2404.06395Shengding Hu, Yuge Tu, Xu Han, et al.2024 · 269 citations
  18. RedPajama: an Open Dataset for Training Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Maurice Weber, Daniel Fu, Quentin Anthony, et al.2024 · 260 citations
  19. Aya Dataset: An Open-Access Collection for Multilingual Instruction TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Shivalika Singh, Freddie Vargus, Daniel D'souza, et al.2024 · 207 citations
  20. Measuring Multimodal Mathematical Reasoning with MATH-Vision DatasetConference on Neural Information Processing Systems (NeurIPS)Ke Wang, Junting Pan, Weikang Shi, et al.2024 · 203 citations
  21. Will we run out of data? Limits of LLM scaling based on human-generated dataarXiv:2211.04325Pablo Villalobos, Anson Ho, Jaime Sevilla, et al.2022 · 198 citations
  22. DataComp-LM: In search of the next generation of training sets for language modelsConference on Neural Information Processing Systems (NeurIPS)Jeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 191 citations
  23. 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
  24. Generative Representational Instruction TuningarXiv:2402.09906Niklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 172 citations
  25. A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and TrustworthinessACM Transactions on Intelligent Systems and TechnologyFali Wang, Zhiwei Zhang, Xianren Zhang, et al.2024 · 159 citations
  26. Moshi: a speech-text foundation model for real-time dialoguearXiv:2410.00037Alexandre Defossez, Laurent Mazare, Manu Orsini, et al.2024 · 157 citations
  27. Efficient Training of Language Models to Fill in the MiddlearXiv:2207.14255Mohammad Bavarian, Heewoo Jun, Nikolas Tezak, et al.2022 · 144 citations
  28. The Impact of Positional Encoding on Length Generalization in TransformersConference on Neural Information Processing Systems (NeurIPS)Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, et al.2023 · 134 citations
  29. EuroLLM: Multilingual Language Models for EuropearXiv:2409.16235Pedro Henrique Martins, Patrick Fernandes, Joao Alves, et al.2024 · 133 citations
  30. Scaling Up Models and Data with t5x and seqioarXiv:2203.17189Adam Roberts, Hyung Won Chung, Anselm Levskaya, et al.2022 · 130 citations
  31. Emergent and Predictable Memorization in Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Stella Biderman, USVSN Sai Prashanth, Lintang Sutawika, et al.2023 · 123 citations
  32. SaulLM-7B: A pioneering Large Language Model for LawarXiv:2403.03883Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, et al.2024 · 119 citations
  33. QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice CodebooksarXiv:2402.04396Albert Tseng, Jerry Chee, Qingyao Sun, et al.2024 · 117 citations
  34. A Survey on Efficient Inference for Large Language ModelsarXiv:2404.14294Zixuan Zhou, Xuefei Ning, Ke Hong, et al.2024 · 113 citations
  35. DistiLLM: Towards Streamlined Distillation for Large Language ModelsarXiv:2402.03898Jongwoo Ko, Sungnyun Kim, Tianyi Chen, et al.2024 · 112 citations
  36. Transformer Language Models without Positional Encodings Still Learn Positional InformationarXiv:2203.16634Adi Haviv, Ori Ram, Ofir Press, et al.2022 · 111 citations
  37. RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text DetectorsAnnual Meeting of the Association for Computational Linguistics (ACL)Liam Dugan, Alyssa Hwang, Filip Trhlík, et al.2024 · 110 citations
  38. A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and RecommendationsConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.2024 · 105 citations
  39. A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & ToxicityarXiv:2305.13169Shayne Longpre, Gregory Yauney, Emily Reif, et al.2023 · 104 citations
  40. FLASK: Fine-grained Language Model Evaluation based on Alignment Skill SetsarXiv:2307.10928Seonghyeon Ye, Doyoung Kim, Sungdong Kim, et al.2023 · 100 citations
  41. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
  42. Massive Activations in Large Language ModelsarXiv:2402.17762Mingjie Sun, Xinlei Chen, J. Zico Kolter, et al.2024 · 88 citations
  43. Benchmark Data Contamination of Large Language Models: A SurveyarXiv:2406.04244Cheng Xu, Shuhao Guan, Derek Greene, et al.2024 · 85 citations
  44. AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq ModelarXiv:2208.01448Saleh Soltan, Shankar Ananthakrishnan, Jack FitzGerald, et al.2022 · 84 citations
  45. Large Language Models in Law: A SurveyarXiv:2312.03718Jinqi Lai, Wensheng Gan, Jiayang Wu, et al.2023 · 80 citations
  46. Benchmarking Large Language Models on Answering and Explaining Challenging Medical QuestionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hanjie Chen, Zhouxiang Fang, Yash Singla, et al.2025 · 75 citations
  47. What Language Model to Train if You Have One Million GPU Hours?arXiv:2210.15424Teven Le Scao, Thomas Wang, Daniel Hesslow, et al.2022 · 73 citations
  48. FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Konstantin Dobler, Gerard de Melo2023 · 62 citations
  49. Instruction Pre-Training: Language Models are Supervised Multitask LearnersConference on Empirical Methods in Natural Language Processing (EMNLP)Daixuan Cheng, Yuxian Gu, Shaohan Huang, et al.2024 · 59 citations
  50. IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar, et al.2024 · 48 citations
  51. Getting the most out of your tokenizer for pre-training and domain adaptationarXiv:2402.01035Gautier Dagan, Gabriel Synnaeve, Baptiste Roziere2024 · 47 citations
  52. Language models scale reliably with over-training and on downstream tasksarXiv:2403.08540Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.2024 · 46 citations
  53. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 46 citations
  54. EuroLLM-9B: Technical ReportarXiv:2506.04079Pedro Henrique Martins, Joao Alves, Patrick Fernandes, et al.2025 · 45 citations
  55. HyperCLOVA X Technical ReportarXiv:2404.01954Kang Min Yoo, Jaegeun Han, Sookyo In, et al.2024 · 44 citations
  56. Transcending Scaling Laws with 0.1% Extra ComputearXiv:2210.11399Yi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 42 citations
  57. Observational Scaling Laws and the Predictability of Language Model PerformancearXiv:2405.10938Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 40 citations
  58. Efficient Language Model Training through Cross-Lingual and Progressive Transfer LearningarXiv:2301.09626Malte Ostendorff, Georg Rehm2023 · 36 citations
  59. 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
  60. TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormerarXiv:2307.14995Zhen Qin, Dong Li, Weigao Sun, et al.2023 · 33 citations
  61. Benchmarking Linguistic Diversity of Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Yanzhu Guo, Guokan Shang, Chloé Clavel2025 · 32 citations
  62. QIAS 2025: Overview of the Shared Task on Islamic Inheritance Reasoning and Knowledge AssessmentArabic Natural Language Processing Conference (ArabicNLP)Abdessalam Bouchekif, Samer Rashwani, Emad Soliman Ali Mohamed, et al.2025 · 32 citations
  63. Assessing Large Language Models on Islamic Legal Reasoning: Evidence from Inheritance Law EvaluationArabic Natural Language Processing Conference (ArabicNLP)Abdessalam Bouchekif, Samer Rashwani, Heba Sbahi, et al.2025 · 31 citations
  64. Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language ModelsarXiv:2402.14714Seungduk Kim, Seungtaek Choi, Myeongho Jeong2024 · 29 citations
  65. 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
  66. Investigating Hallucinations in Pruned Large Language Models for Abstractive SummarizationTransactions of the Association for Computational Linguistics (TACL)George Chrysostomou, Zhixue Zhao, Miles Williams, et al.2024 · 27 citations
  67. IberoBench: A Benchmark for LLM Evaluation in Iberian LanguagesInternational Conference on Computational Linguistics (COLING)Irene Baucells, Javier Aula-Blasco, Iria de-Dios-Flores, et al.2025 · 24 citations
  68. HALoGEN: Fantastic LLM Hallucinations and Where to Find ThemAnnual Meeting of the Association for Computational Linguistics (ACL)Abhilasha Ravichander, Shrusti Ghela, David Wadden, et al.2025 · 22 citations
  69. Personality Alignment of Large Language ModelsarXiv:2408.11779Minjun Zhu, Yixuan Weng, Linyi Yang, et al.2024 · 21 citations
  70. TADA : Task Agnostic Dialect Adapters for EnglishFindings of the Association for Computational LinguisticsWilliam Held, Caleb Ziems, Diyi Yang2023 · 17 citations
  71. VinaLLaMA: LLaMA-based Vietnamese Foundation ModelarXiv:2312.11011Quan Nguyen, Huy Pham, Dung Dao2023 · 16 citations
  72. 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
  73. QU-NLP at QIAS 2025 Shared Task: A Two-Phase LLM Fine-Tuning and Retrieval-Augmented Generation Approach for Islamic Inheritance ReasoningArabic Natural Language Processing Conference (ArabicNLP)Mohammad AL-Smadi2025 · 10 citations
  74. 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
  75. Culturally-Nuanced Story Generation for Reasoning in Low-Resource Languages: The Case of Javanese and SundaneseWorkshop on Multilingual Representation LearningSalsabila Zahirah Pranida, Rifo Ahmad Genadi, Fajri Koto2025 · 8 citations
  76. Just read twice: closing the recall gap for recurrent language modelsarXiv:2407.05483Simran Arora; Aman Timalsina; Aaryan Singhal; Benjamin Spector; Sabri Eyuboglu; Xinyi Zhao; Ashish Rao; Atri Rudra;, Christopher Re2024 · 8 citations
  77. NYUAD at QIAS Shared Task: Benchmarking the Legal Reasoning of LLMs in Arabic Islamic Inheritance CasesArabic Natural Language Processing Conference (ArabicNLP)Nouar AlDahoul, Yasir Zaki2025 · 7 citations
  78. 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
  79. Hala Technical Report Building Arabic-Centric Instruction & Translation Models at ScaleWorkshop on NLP for Languages Using Arabic ScriptHasan Abed Al Kader Hammoud, Mohamad Bilal Zbib, Bernard Ghanem2026 · 5 citations
  80. Paramanu: Compact and Competitive Monolingual Language Models for Low-Resource Morphologically Rich Indian LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Mitodru Niyogi, Eric Gaussier, Arnab Bhattacharya2026 · 5 citations
  81. Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic EvaluationsConference on Empirical Methods in Natural Language Processing (EMNLP)Ananth Agarwal, Jasper Jian, Christopher D Manning, et al.2025 · 4 citations
  82. HAMiSoN-Generative at ClimateActivism 2024: Stance Detection using generative large language modelsWorkshop on Challenges and Applications of Automated Extraction of Socio-political Events from TextJesus M. Fraile-Hernandez, Anselmo Peñas2024 · 4 citations
  83. NYUAD at AraHealthQA Shared Task: Benchmarking the Medical Understanding and Reasoning of Large Language Models in Arabic Healthcare TasksArabic Natural Language Processing Conference (ArabicNLP)Nouar AlDahoul, Yasir Zaki2025 · 3 citations
  84. No Context Needed: Contextual Quandary In Idiomatic Reasoning With Pre-Trained Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kellen Tan Cheng, Suma Bhat2024 · 3 citations
  85. Probing Large Language Models for Scalar Adjective Lexical Semantics and Scalar Diversity PragmaticsLanguage Resources and Evaluation Conference (LREC)Fangru Lin, Daniel Altshuler, Janet B. Pierrehumbert2024 · 3 citations
  86. A Sovereign, Open-Source Foundation Model for German and EnglisharXiv:2607.09424Soofi-Team: Benedikt Droste, David Fitzek, Ruben Harle, et al.2026 · 2 citations
  87. SEA-Team at QIAS 2025: Enhancing LLMs for Question Answering in Islamic TextsArabic Natural Language Processing Conference (ArabicNLP)Sanaa Alowaidi2025 · 2 citations
  88. Hypothesis-only Biases in Large Language Model-Elicited Natural Language InferencearXiv:2410.08996Grace Proebsting, Adam Poliak2024 · 2 citations
  89. Talking the Talk Does Not Entail Walking the Walk: On the Limits of Large Language Models in Lexical Entailment RecognitionFindings of the Association for Computational LinguisticsCandida Maria Greco, Lucio La Cava, Andrea Tagarelli2024 · 2 citations
  90. Large Language Models for Citation Function ClassificationLanguage Resources and Evaluation Conference (LREC)Daniel Vodička, Pavel Kral, Christophe Cerisara, et al.2026 · 1 citation
  91. Spotlights and Blindspots: Evaluating Machine-Generated Text DetectionLanguage Resources and Evaluation Conference (LREC)Kevin Stowe, Kailash Patil2026 · 1 citation
  92. Biases in Large Language Model-Elicited Text: A Case Study in Natural Language InferenceInternational Conference on Computational Linguistics (COLING)Grace Proebsting, Adam Poliak2025 · 1 citation
  93. Beyond Static Synthetic Noise: Assessing the Robustness of Large Language Models to Natural Context Variation in the Real WorldFindings of the Association for Computational LinguisticsYulong Wu, Viktor Schlegel, Riza Batista-Navarro2026
  94. Detoxification for LLM: From Dataset ItselfAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Shao, Yihang Wang, Gao yu Zhu, et al.2026
  95. GhostWriter: Hidden AI-Generated Texts over Multiple Languages, Domains and GeneratorsLanguage Resources and Evaluation Conference (LREC)Manuel Schaaf, Kevin Bönisch, Alexander Mehler2026
  96. Grounding Arabic LLMs in the Doha Historical Dictionary: Retrieval-Augmented Understanding of Quran and HaditharXiv:2603.23972Somaya Eltanbouly, Samer Rashwani2026
  97. Interpreto: An Explainability Library for TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Antonin Poché, Thomas Mullor, Gabriele Sarti, et al.2026
  98. Mediocrity is the key for LLM as a Judge Anchor SelectionAnnual Meeting of the Association for Computational Linguistics (ACL)Shachar Don-Yehiya, Asaf Yehudai, Leshem Choshen, et al.2026
  99. Merge and Conquer: Instructing Multilingual Models by Adding Target Language WeightsLanguage Resources and Evaluation Conference (LREC)Eneko Valero, Maria Ribalta i Albado, Oscar Sainz, et al.2026
  100. Nanda Family: Open-Weights Generative Large Language Models for HindiConference of the European Chapter of the Association for Computational Linguistics (EACL)Aaryamonvikram Singh, Debopriyo Banerjee, Dhruv Sahnan, et al.2026

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