🧑‍🔬 Who cites Rafael Mosquera

281 citations of their works from 279 papers of our library (of the 149,439 whose bibliographies we read) · 77 with a page here, the most cited first · ← Rafael Mosquera

1. 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
2. ELEPHANT: Measuring and understanding social sycophancy in LLMsScienceMyra Cheng, Sunny Yu, Cinoo Lee, et al.2025 · 188 citations
3. AI Alignment: A Comprehensive SurveyarXiv:2310.19852Jiaming Ji, Tianyi Qiu, Boyuan Chen, et al.2023 · 173 citations
4. SciMON: Scientific Inspiration Machines Optimized for NoveltyAnnual Meeting of the Association for Computational Linguistics (ACL)Qingyun Wang, Doug Downey, Heng Ji, et al.2023 · 131 citations
5. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
6. Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the ArtTransactions of the Association for Computational Linguistics (TACL)Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen2025 · 90 citations
7. Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, et al.2026 · 68 citations
8. Modular Pluralism: Pluralistic Alignment via Multi-LLM CollaborationConference on Empirical Methods in Natural Language Processing (EMNLP)Shangbin Feng, Taylor Sorensen, Yuhan Liu, et al.2024 · 68 citations
9. Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNsConference on Empirical Methods in Natural Language Processing (EMNLP)Kanishka Misra, Kyle Mahowald2024 · 55 citations
10. Benchmarking Distributional Alignment of Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nicole Meister, Carlos Guestrin, Tatsunori Hashimoto2025 · 35 citations
11. Culture is Not Trivia: Sociocultural Theory for Cultural NLPAnnual Meeting of the Association for Computational Linguistics (ACL)Naitian Zhou, David Bamman, Isaac L. Bleaman2025 · 33 citations
12. Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public OpinionsAnnual Meeting of the Association for Computational Linguistics (ACL)Joseph Suh, Erfan Jahanparast, Suhong Moon, et al.2025 · 28 citations
13. The State of Multilingual LLM Safety Research: From Measuring The Language Gap To Mitigating ItConference on Empirical Methods in Natural Language Processing (EMNLP)Zheng Xin Yong, Beyza Ermis, Marzieh Fadaee, et al.2025 · 25 citations
14. Language Model Alignment in Multilingual Trolley ProblemsarXiv:2407.02273Zhijing Jin, Max Kleiman-Weiner, Giorgio Piatti, et al.2024 · 23 citations
15. What is the Role of Small Models in the LLM Era: A SurveyComputational LinguisticsLihu Chen, Gael Varoquaux2024 · 23 citations
16. Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text PerceptionsAnnual Meeting of the Association for Computational Linguistics (ACL)Matthias Orlikowski, Jiaxin Pei, Paul Röttger, et al.2025 · 22 citations
17. Can Language Models Reason about Individualistic Human Values and Preferences?Annual Meeting of the Association for Computational Linguistics (ACL)Liwei Jiang, Taylor Sorensen, Sydney Levine, et al.2025 · 21 citations
18. The AI Gap: How Socioeconomic Status Affects Language Technology InteractionsAnnual Meeting of the Association for Computational Linguistics (ACL)Elisa Bassignana, Amanda Cercas Curry, Dirk Hovy2025 · 20 citations
19. Is Child-Directed Speech Effective Training Data for Language Models?Conference on Empirical Methods in Natural Language Processing (EMNLP)Steven Y. Feng, Noah D. Goodman, Michael C. Frank2024 · 18 citations
20. IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing AssistanceTransactions of the Association for Computational Linguistics (TACL)Paul Röttger, Musashi Hinck, Valentin Hofmann, et al.2026 · 16 citations
21. JuStRank: Benchmarking LLM Judges for System RankingAnnual Meeting of the Association for Computational Linguistics (ACL)Ariel Gera, Odellia Boni, Yotam Perlitz, et al.2025 · 15 citations
22. Value Profiles for Encoding Human VariationConference on Empirical Methods in Natural Language Processing (EMNLP)Taylor Sorensen, Pushkar Mishra, Roma Patel, et al.2025 · 15 citations
23. When One LLM Drools, Multi-LLM Collaboration RulesAnnual Meeting of the Association for Computational Linguistics (ACL)Shangbin Feng, Wenxuan Ding, Alisa Liu, et al.2026 · 14 citations
24. Do Construction Distributions Shape Formal Language Learning In German BabyLMs?Conference on Computational Natural Language Learning (CoNLL)Bastian Bunzeck, Daniel Duran, Sina Zarrieß2025 · 13 citations
25. DevBench: A multimodal developmental benchmark for language learningConference on Neural Information Processing Systems (NeurIPS)Alvin Wei Ming Tan, Sunny Yu, Bria Long, et al.2024 · 13 citations
26. Latent Inter-User Difference Modeling for LLM PersonalizationConference on Empirical Methods in Natural Language Processing (EMNLP)Yilun Qiu, Tianhao Shi, Xiaoyan Zhao, et al.2025 · 12 citations
27. Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User PersonasAnnual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Vishakh Padmakumar, Fumeng Yang, et al.2025 · 12 citations
28. Cognitive Plausibility in Natural Language ProcessingComputational LinguisticsYevgen Matusevych2024 · 12 citations
29. Can Language Models Learn Typologically Implausible Languages?Transactions of the Association for Computational Linguistics (TACL)Tianyang Xu, Tatsuki Kuribayashi, Yohei Oseki, et al.2026 · 10 citations
30. Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic BiasesAnnual Meeting of the Association for Computational Linguistics (ACL)Michael Y. Hu, Jackson Petty, Chuan Shi, et al.2025 · 9 citations
31. Language Models Fail to Introspect About Their Knowledge of LanguagearXiv:2503.07513Siyuan Song, Jennifer Hu, Kyle Mahowald2025 · 9 citations
32. BabyLM Challenge: Curriculum learning based on sentence complexity approximating language acquisitionConference on Computational Natural Language Learning (CoNLL)Miyu Oba, Akari Haga, Akiyo Fukatsu, et al.2023 · 9 citations
33. Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiulin Yang, Tatsuya Aoyama, Yuekun Yao, et al.2025 · 8 citations
34. Manipulating language models' training data to study syntactic constraint learning: the case of English passivizationarXiv:2407.04593Cara Su-Yi Leong, Tal Linzen2024 · 8 citations
35. Towards more Human-like Language Models based on Contextualizer Pretraining StrategyConference on Computational Natural Language Learning (CoNLL)Chenghao Xiao, G Thomas Hudson, Noura Al Moubayed2023 · 7 citations
36. IPA CHILDES & G2P+: Feature-Rich Resources for Cross-Lingual Phonology and Phonemic Language ModelingConference on Computational Natural Language Learning (CoNLL)Zébulon Goriely, Paula Buttery2025 · 6 citations
37. Minimal Pair-Based Evaluation of Code-SwitchingAnnual Meeting of the Association for Computational Linguistics (ACL)Igor Sterner, Simone Teufel2025 · 6 citations
38. Acquiring Linguistic Knowledge from Multimodal InputConference on Computational Natural Language Learning (CoNLL)Theodor Amariucai, Alexander Scott Warstadt2023 · 6 citations
39. LLM Alignment for the Arabs: A Homogenous Culture or Diverse OnesWorkshop on Cross-Cultural Considerations in NLPAmr Keleg2025 · 5 citations
40. Extending ASR Evaluation Resources for Modern Greek DialectsWorkshop on NLP for Similar Languages, Varieties and Dialects (VarDial)Chara Tsoukala, Stavros Bompolas, Antigoni Margariti, et al.2026 · 4 citations
41. Language Statistics and False Belief Reasoning: Evidence from 41 Open-Weight LMsAnnual Meeting of the Association for Computational Linguistics (ACL)Sean Trott, Samuel M. Taylor, Cameron Robert Jones, et al.2026 · 3 citations
42. TafBERTa: Learning Grammatical Rules from Small-Scale Language Acquisition Data in HebrewAnita Gelboim, Elior Sulem2025 · 3 citations
43. Kenji-Endo: a BabyLM @EVALITAEvaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final WorkshopCalogero Jerik Scozzaro, Matteo Rinaldi, Gianluca Mittone, et al.2026 · 2 citations
44. Using Curriculum Masking Based on Child Language Development to Train a Large Language Model with Limited Training DataConference on Computational Natural Language Learning (CoNLL)Evan Lucas, Dylan Gaines, Tagore Rao Kosireddy, et al.2024 · 2 citations
45. An Existence Proof for Neural Language Models That Can Explain Garden-Path Effects via SurprisalAnnual Meeting of the Association for Computational Linguistics (ACL)Ryo Yoshida, Shinnosuke Isono, Taiga Someya, et al.2026 · 1 citation
46. CuMA: Aligning LLMs with Sparse Cultural Values via Demographic-Aware Mixture of AdaptersAnnual Meeting of the Association for Computational Linguistics (ACL)Ao Sun, Xiaoyu Wang, Zhe Tan, et al.2026 · 1 citation
47. Do BabyLMs Wanna Learn Wanna Contraction? On the Learnability without Language-Specific BiasFindings of the Association for Computational LinguisticsKangsan Noh, Sanghoun Song2026 · 1 citation
48. Human-like Fleeting Memory Improves Language Learning but Impairs Reading Time Prediction in Transformer Language ModelsTransactions of the Association for Computational Linguistics (TACL)Abishek Thamma, Micha Heilbron2026 · 1 citation
49. Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus ConstructionsConference on Computational Natural Language Learning (CoNLL)Wesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider, et al.2026 · 1 citation
50. P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic ChecklistAnnual Meeting of the Association for Computational Linguistics (ACL)Kwangwook Seo, Dongha Lee2026 · 1 citation
51. What Exactly do Children Receive in Language Acquisition? A Case Study on CHILDES with Automated Detection of Filler-Gap DependenciesConference on Computational Natural Language Learning (CoNLL)Zhenghao Zhou, William Dai, Maya Viswanathan, et al.2026 · 1 citation
52. When Do Language Models Endorse Limitations on Human Rights Principles?Findings of the Association for Computational LinguisticsKeenan Samway, Miu Nicole Takagi, Rada Mihalcea, et al.2026 · 1 citation
53. Babies Learn to Look Ahead: Multi-Token Prediction in Small LMsBabyLM WorkshopAnsar Aynetdinov, Alan Akbik2025 · 1 citation
54. Batch-wise Convergent Pre-training: Step-by-Step Learning Inspired by Child Language DevelopmentBabyLM WorkshopKo Yoshida, Daiki Shiono, Kai Sato, et al.2025 · 1 citation
55. Dreaming Out Loud: A Self-Synthesis Approach For Training Vision-Language Models With Developmentally Plausible DataConference on Computational Natural Language Learning (CoNLL)Badr AlKhamissi, Yingtian Tang, Abdülkadir Gökce, et al.2024 · 1 citation
56. \textitOne Persona, \textitMany Cues, \textitDifferent Results: How Sociodemographic Cues Impact LLM PersonalizationAnnual Meeting of the Association for Computational Linguistics (ACL)Franziska Weeber, Vera Neplenbroek, Jan Batzner, et al.2026
57. Bias Dynamics in BabyLMs: Towards a Compute-Efficient Sandbox for Democratising Pre-Training DebiasingFindings of the Association for Computational LinguisticsFilip Trhlík, Andrew Caines, Paula Buttery2026
58. Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty EstimationAnnual Meeting of the Association for Computational Linguistics (ACL)Bhaktipriya Radharapu, Eshika Saxena, Kenneth Li, et al.2026
59. Can a Remedy Find a Researcher? Exploring the Development of Semantic Knowledge in Italian BabyLMsJoint Conference on Lexical and Computational Semantics (*SEM)Alice Suozzi, Luca Capone, Gianluca Lebani, et al.2026
60. Carefully Considering Culture: Analyzing LLM Alignment in Single- and Multi-Cultural Settings using Cultural Consensus TheoryFindings of the Association for Computational LinguisticsKrishna Pothugunta, John P. Lalor2026
61. Character-aware Transformers Learn an Irregular Morphological Pattern Yet None Generalize Like HumansWorkshop on Cognitive Modeling and Computational Linguistics (CMCL)Akhilesh Kakolu Ramarao, Kevin Tang, Dinah Baer-Henney2026
62. Child-directed speech facilitates production, not comprehension, in BabyLMsConference on Computational Natural Language Learning (CoNLL)Bastian Bunzeck, Sina Zarrieß2026
63. ChineseDevBench: A Chinese Developmental Benchmark for Language DevelopmentWorkshop on Cognitive Modeling and Computational Linguistics (CMCL)Shaonan Wang, Yiwen Wu, Na Li, et al.2026
64. Computational Benchmarks for Egyptian Arabic Child Directed SpeechConference of the European Chapter of the Association for Computational Linguistics (EACL)Salam Khalifa, Abed Qaddoumi, Nizar Habash, et al.2026
65. CoopValue: Revealing LLM Value Preferences Through Multi-Agent CooperationFindings of the Association for Computational LinguisticsZee Hen Tang, Mi-Yen Yeh2026
66. Evaluating Language Model Pluralism through In-the-wild Crowd DiscussionsAnnual Meeting of the Association for Computational Linguistics (ACL)Gagan Mundada, Rohan Surana, Nandhini Swaminathan, et al.2026
67. From Coarse to Fine: Benchmarking and Reward Modeling for Writing-Centric Generation TasksFindings of the Association for Computational LinguisticsQingyu Ren, Tianjun Pan, Xingzhou Chen, et al.2026
68. Grounded Concreteness: Human-Like Concreteness Sensitivity in Vision–Language ModelsFindings of the Association for Computational LinguisticsAryan Roy, Zekun Wang, Christopher J. MacLellan2026
69. Language Acquisition Device in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Masato Mita, Taiga Someya, Ryo Yoshida, et al.2026
70. Learning to Retrieve User History and Generate User Profiles for Personalized Persuasiveness PredictionFindings of the Association for Computational LinguisticsSejun Park, Yoonah Park, Jongwon Lim, et al.2026
71. Making Synthetic Questions More Child-Directed: Prompting and Sampling EffectsWorkshop on Computational Developmental Linguistics (CDL)Whitney Poh, Michael Tombolini, Libby Barak2026
72. Memory efficiency and resource-rational encoding in sentence processingAnnual Meeting of the Association for Computational Linguistics (ACL)Weijie Xu, Brian Dillon, Richard Futrell2026
73. Probing the Plasticity and Correlation of LLM Value Systems: LLM Value Rankings are Not StableFindings of the Association for Computational LinguisticsZhenheng Tang, Qihua Pan, Jingya Shen, et al.2026
74. Show or Tell? Modeling the evolution of request-making in Human-LLM conversationsFindings of the Association for Computational LinguisticsShengqi Zhu, Jeffrey Rzeszotarski, David Mimno2026
75. Simulating Sense ExtensionTransactions of the Association for Computational Linguistics (TACL)Rowan Hall Maudslay, Simone Teufel2026
76. Toward Cognitive Alignment in Large Language Models: Integrating Linguistic Theory and Human DataWorkshop on Cognitive Modeling and Computational Linguistics (CMCL)Wajdi Zaghouani2026
77. Word predictability estimates from language models are not robust to tokenizer vocabularyConference on Computational Natural Language Learning (CoNLL)Kien Nguyen, Suhas Arehalli2026

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