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Who cites Sydney von Arx

991 citations of their works from 990 papers of our library (of the 149,439 whose bibliographies we read) · 238 with a page here, the most cited first · page 2 of 3 · 101–200 · ← Sydney von Arx

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  1. PaperQA: Retrieval-Augmented Generative Agent for Scientific ResearcharXiv:2312.07559Jakub Lála, Odhran O'Donoghue, Aleksandar Shtedritski, et al.2023 · 109 citations
  2. Benchmarking Foundation Models with Language-Model-as-an-ExaminerConference on Neural Information Processing Systems (NeurIPS)Yushi Bai, Jiahao Ying, Yixin Cao, et al.2023 · 106 citations
  3. Inverse Scaling: When Bigger Isn't BetterarXiv:2306.09479 · Transactions on Machine Learning Research (TMLR), 10/2023, https://openreview.net/forum?id=DwgRm72GQFIan R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.2023 · 105 citations
  4. Studying Large Language Model Generalization with Influence FunctionsarXiv:2308.03296Roger Grosse, Juhan Bae, Cem Anil, et al.2023 · 105 citations
  5. Shadow Alignment: The Ease of Subverting Safely-Aligned Language ModelsarXiv:2310.02949Xianjun Yang, Xiao Wang, Qi Zhang, et al.2023 · 103 citations
  6. Hybrid LLM: Cost-Efficient and Quality-Aware Query RoutingarXiv:2404.14618Dujian Ding, Ankur Mallick, Chi Wang, et al.2024 · 98 citations
  7. TextGrad: Automatic "Differentiation" via TextarXiv:2406.07496Mert Yuksekgonul, Federico Bianchi, Joseph Boen, et al.2024 · 96 citations
  8. The Platonic Representation HypothesisarXiv:2405.07987Minyoung Huh, Brian Cheung, Tongzhou Wang, et al.2024 · 96 citations
  9. Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data LakesProceedings of the VLDB EndowmentSimran Arora, Brandon Yang, Sabri Eyuboglu, et al.2023 · 94 citations
  10. Training Socially Aligned Language Models on Simulated Social InteractionsarXiv:2305.16960Ruibo Liu, Ruixin Yang, Chenyan Jia, et al.2023 · 94 citations
  11. Foundation Models for Decision Making: Problems, Methods, and OpportunitiesarXiv:2303.04129Sherry Yang, Ofir Nachum, Yilun Du, et al.2023 · 92 citations
  12. Language Modeling Is CompressionarXiv:2309.10668Gregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne, et al.2023 · 91 citations
  13. Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewardsConference on Neural Information Processing Systems (NeurIPS)Alexandre Rame, Guillaume Couairon, Mustafa Shukor, et al.2023 · 90 citations
  14. Automatically Auditing Large Language Models via Discrete OptimizationarXiv:2303.04381Erik Jones, Anca Dragan, Aditi Raghunathan, et al.2023 · 89 citations
  15. Large Language Models as General Pattern MachinesarXiv:2307.04721Suvir Mirchandani, Fei Xia, Pete Florence, et al.2023 · 88 citations
  16. The AI teacher test: Measuring the pedagogical ability of Blender and GPT-3 in educational dialoguesTack2022 · 88 citations
  17. Complex Claim Verification with Evidence Retrieved in the WildConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jifan Chen, Grace Kim, Aniruddh Sriram, et al.2024 · 86 citations
  18. Mathematics, word problems, common sense, and artificial intelligenceBulletin of the American Mathematical SocietyErnest Davis2023 · 86 citations
  19. SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural ReasoningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bin Wang, Zhengyuan Liu, Xin Huang, et al.2024 · 85 citations
  20. Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language GenerationTransactions of the Association for Computational Linguistics (TACL)Patrick Fernandes, Aman Madaan, Emmy Liu, et al.2023 · 84 citations
  21. ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMsarXiv:2402.11753Fengqing Jiang, Zhangchen Xu, Luyao Niu, et al.2024 · 83 citations
  22. Does Writing with Language Models Reduce Content Diversity?arXiv:2309.05196Vishakh Padmakumar, He He2023 · 82 citations
  23. Large Language Models in Law: A SurveyarXiv:2312.03718Jinqi Lai, Wensheng Gan, Jiayang Wu, et al.2023 · 80 citations
  24. Learning gain differences between ChatGPT and human tutor generated algebra hintsPardos2023 · 79 citations
  25. LEGO-Prover: Neural Theorem Proving with Growing LibrariesarXiv:2310.00656Haiming Wang, Huajian Xin, Chuanyang Zheng, et al.2023 · 79 citations
  26. AudioBench: A Universal Benchmark for Audio Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bin Wang, Xunlong Zou, Geyu Lin, et al.2025 · 77 citations
  27. MetaAgents: Large Language Model Based Agents for Decision-Making on TeamingProceedings of the ACM on Human-Computer InteractionYuan Li; Lichao Sun;, Yixuan Zhang2023 · 74 citations
  28. The Ghost in the Machine has an American accent: value conflict in GPT-3arXiv:2203.07785Rebecca L Johnson, Giada Pistilli, Natalia Menedez-Gonzalez, et al.2022 · 72 citations
  29. LLMs Know More Than They Show: On the Intrinsic Representation of LLM HallucinationsarXiv:2410.02707Hadas Orgad, Michael Toker, Zorik Gekhman, et al.2024 · 68 citations
  30. AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and GuardrailsACM Conference on Learning @ Scale (L@S)Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan2024 · 66 citations
  31. MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, et al.2025 · 65 citations
  32. Can Language Models Handle Recursively Nested Grammatical Structures? A Case Study on Comparing Models and HumansComputational LinguisticsAndrew Lampinen2024 · 63 citations
  33. Large Language Model Routing with Benchmark DatasetsarXiv:2309.15789Tal Shnitzer, Anthony Ou, Mirian Silva, et al.2023 · 63 citations
  34. Large Language Model Agent: A Survey on Methodology, Applications and ChallengesarXiv:2503.21460Junyu Luo, Weizhi Zhang, Ye Yuan, et al.2025 · 62 citations
  35. LAB-Bench: Measuring Capabilities of Language Models for Biology ResearcharXiv:2407.10362Jon M. Laurent, Joseph D. Janizek, Michael Ruzo, et al.2024 · 62 citations
  36. NaturalProver: Grounded Mathematical Proof Generation with Language ModelsConference on Neural Information Processing Systems (NeurIPS)Sean Welleck, Jiacheng Liu, Ximing Lu, et al.2022 · 62 citations
  37. What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?arXiv:2204.05832Thomas Wang, Adam Roberts, Daniel Hesslow, et al.2022 · 62 citations
  38. OS-Copilot: Towards Generalist Computer Agents with Self-ImprovementarXiv:2402.07456Zhiyong Wu, Chengcheng Han, Zichen Ding, et al.2024 · 61 citations
  39. Large Language Models Are Not Strong Abstract ReasonersarXiv:2305.19555Gael Gendron, Qiming Bao, Michael Witbrock, et al.2023 · 61 citations
  40. A Family of Pretrained Transformer Language Models for RussianLanguage Resources and Evaluation Conference (LREC)Dmitry Zmitrovich, Aleksandr Abramov, Andrey Kalmykov, et al.2024 · 60 citations
  41. Simple linear attention language models balance the recall-throughput tradeoffarXiv:2402.18668Simran Arora, Sabri Eyuboglu, Michael Zhang, et al.2024 · 59 citations
  42. Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedbackarXiv:2303.05453Hannah Rose Kirk, Bertie Vidgen, Paul Rottger, et al.2023 · 57 citations
  43. A Reasoning-Focused Legal Retrieval BenchmarkarXiv:2505.03970Lucia Zheng, Neel Guha, Javokhir Arifov, et al.2025 · 55 citations
  44. Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models — A SurveyarXiv:2404.01869Philipp Mondorf, Barbara Plank2024 · 53 citations
  45. Towards responsible development of generative AI for education: An evaluation-driven approachJurenka2024 · 53 citations
  46. The Learnability of In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Noam Wies, Yoav Levine, Amnon Shashua2023 · 53 citations
  47. Large Language Models are In-Context Semantic Reasoners rather than Symbolic ReasonersarXiv:2305.14825Xiaojuan Tang, Zilong Zheng, Jiaqi Li, et al.2023 · 52 citations
  48. Opportunities and Challenges in Neural Dialog TutoringConference of the European Chapter of the Association for Computational Linguistics (EACL)Jakub Macina, Nico Daheim, Lingzhi Wang, et al.2023 · 51 citations
  49. The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational DialoguesWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Anaïs Tack, Ekaterina Kochmar, Zheng Yuan, et al.2023 · 51 citations
  50. Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs?Language Resources and Evaluation Conference (LREC)Wangyue Li, Liangzhi Li, Tong Xiang, et al.2024 · 47 citations
  51. Lost in Translation: Large Language Models in Non-English Content AnalysisarXiv:2306.07377Gabriel Nicholas, Aliya Bhatia2023 · 45 citations
  52. Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare deliveryarXiv:2304.13714Debadutta Dash, Rahul Thapa, Juan M. Banda, et al.2023 · 44 citations
  53. Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language ModelsarXiv:2308.11764Mohamed Elaraby, Mengyin Lu, Jacob Dunn, et al.2023 · 43 citations
  54. SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language ModelsarXiv:2311.08370Bertie Vidgen, Nino Scherrer, Hannah Rose Kirk, et al.2023 · 42 citations
  55. MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment TasksConference on Neural Information Processing Systems (NeurIPS)Allen Nie, Yuhui Zhang, Atharva Amdekar, et al.2023 · 41 citations
  56. Evaluating Language Models for Mathematics through InteractionsarXiv:2306.01694Katherine M. Collins, Albert Q. Jiang, Simon Frieder, et al.2023 · 40 citations
  57. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
  58. BioCoder: A Benchmark for Bioinformatics Code Generation with Large Language ModelsBioinformaticsXiangru Tang, Bill Qian, Rick Gao, et al.2023 · 38 citations
  59. JASMINE: Arabic GPT Models for Few-Shot LearningConference on Empirical Methods in Natural Language Processing (EMNLP)El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, AbdelRahim Elmadany, et al.2023 · 38 citations
  60. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling ApproachesFindings of the Association for Computational LinguisticsDaniel Fried, Nicholas Tomlin, Jennifer Hu, et al.2023 · 38 citations
  61. OG-RAG: Ontology-grounded retrieval-augmented generation for large language modelsConference on Empirical Methods in Natural Language Processing (EMNLP)Kartik Sharma, Peeyush Kumar, Yunqing Li2025 · 37 citations
  62. Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement LearningarXiv:2402.05808Zhiheng Xi, Wenxiang Chen, Boyang Hong, et al.2024 · 36 citations
  63. Human-Timescale Adaptation in an Open-Ended Task SpacearXiv:2301.07608Adaptive Agent Team, Jakob Bauer, Kate Baumli, et al.2023 · 36 citations
  64. Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model TutorsConference on Empirical Methods in Natural Language Processing (EMNLP)Nico Daheim, Jakub Macina, Manu Kapur, et al.2024 · 35 citations
  65. MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM TutorsConference on Empirical Methods in Natural Language Processing (EMNLP)Jakub Macina, Nico Daheim, Ido Hakimi, et al.2025 · 33 citations
  66. Linear algebra with transformersarXiv:2112.01898François Charton2021 · 31 citations
  67. Privacy Issues in Large Language Models: A SurveyarXiv:2312.06717Seth Neel, Peter Chang2023 · 30 citations
  68. A Holistic Assessment of the Carbon Footprint of Noor, a Very Large Arabic Language ModelBigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language ModelsImad Lakim, Ebtesam Almazrouei, Ibrahim Abualhaol, et al.2022 · 30 citations
  69. Kosmos: An AI Scientist for Autonomous DiscoveryarXiv:2511.02824Ludovico Mitchener; Angela Yiu; Benjamin Chang; Mathieu Bourdenx; Tyler Nadolski; Arvis Sulovari; Eric C. Landsness; Daniel L. Barabasi; Siddharth Narayanan; Nicky Evans; Shriya Reddy; Martha Foiani; Aizad Kamal; Leah P. Shriver; Fang Cao; Asmamaw T. Wassie; Jon M. Laurent; Edwin Melville-Green; Mayk Caldas; Albert Bou; Kaleigh F. Roberts; Sladjana Zagorac; Timothy C. Orr; Miranda E. Orr; Kevin J. Zwezdaryk; Ali E. Ghareeb; Laurie McCoy; Bruna Gomes; Euan A. Ashley; Karen E. Duff; Tonio Buonassisi; Tom Rainforth; Randall J. Bateman; Michael Skarlinski; Samuel G. Rodriques; Michaela M. Hinks;, Andrew D. White2025 · 29 citations
  70. Length Generalization in Arithmetic TransformersarXiv:2306.15400Samy Jelassi, Stéphane d'Ascoli, Carles Domingo-Enrich, et al.2023 · 29 citations
  71. Feedback Loops With Language Models Drive In-Context Reward HackingarXiv:2402.06627Alexander Pan, Erik Jones, Meena Jagadeesan, et al.2024 · 26 citations
  72. Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT ModelsarXiv:2306.16322Zaid Alyafeai, Maged S. Alshaibani, Badr AlKhamissi, et al.2023 · 25 citations
  73. PaniniQA: Enhancing Patient Education Through Interactive Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Pengshan Cai, Zonghai Yao, Fei Liu, et al.2023 · 24 citations
  74. Language Model Alignment in Multilingual Trolley ProblemsarXiv:2407.02273Zhijing Jin, Max Kleiman-Weiner, Giorgio Piatti, et al.2024 · 23 citations
  75. MiniCPM4: Ultra-Efficient LLMs on End DevicesarXiv:2506.07900MiniCPM Team, Chaojun Xiao, Yuxuan Li, et al.2025 · 22 citations
  76. Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from JailbreakingConference on Empirical Methods in Natural Language Processing (EMNLP)Junda Zhu, Lingyong Yan, Shuaiqiang Wang, et al.2025 · 21 citations
  77. AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language ProcessingFindings of the Association for Computational LinguisticsAsaad Alghamdi, Xinyu Duan, Wei Jiang, et al.2023 · 21 citations
  78. DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic RulesYanchen Liu, William Held, Diyi Yang2023 · 20 citations
  79. Efficient RLHF: Reducing the Memory Usage of PPOarXiv:2309.00754Michael Santacroce, Yadong Lu, Han Yu, et al.2023 · 20 citations
  80. The Vector Grounding ProblemarXiv:2304.01481Dimitri Coelho Mollo, Raphael Milliere2023 · 20 citations
  81. Quality-Diversity through AI FeedbackarXiv:2310.13032Herbie Bradley, Andrew Dai, Hannah Teufel, et al.2023 · 19 citations
  82. REFORMS: Reporting Standards for Machine Learning Based SciencearXiv:2308.07832Sayash Kapoor, Emily Cantrell, Kenny Peng, et al.2023 · 19 citations
  83. Densing Law of LLMsarXiv:2412.04315Chaojun Xiao, Jie Cai, Weilin Zhao, et al.2024 · 18 citations
  84. Evaluating statistical language models as pragmatic reasonersarXiv:2305.01020Benjamin Lipkin, Lionel Wong, Gabriel Grand, et al.2023 · 18 citations
  85. ChatGLM-RLHF: Practices of Aligning Large Language Models with Human FeedbackarXiv:2404.00934Zhenyu Hou, Yilin Niu, Zhengxiao Du, et al.2024 · 17 citations
  86. TADA : Task Agnostic Dialect Adapters for EnglishFindings of the Association for Computational LinguisticsWilliam Held, Caleb Ziems, Diyi Yang2023 · 17 citations
  87. Jailbreaking LLMs with Arabic Transliteration and ArabiziConference on Empirical Methods in Natural Language Processing (EMNLP)Mansour Al Ghanim, Saleh Almohaimeed, Mengxin Zheng, et al.2024 · 16 citations
  88. Understanding Natural Language Understanding Systems. A Critical AnalysisarXiv:2303.04229Alessandro Lenci2023 · 16 citations
  89. FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative SamplingAnnual Meeting of the Association for Computational Linguistics (ACL)Weilin Zhao, Tengyu Pan, Xu Han, et al.2025 · 15 citations
  90. OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in CodearXiv:2405.15568Maxence Faldor, Jenny Zhang, Antoine Cully, et al.2024 · 15 citations
  91. MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teamingAnnual Meeting of the Association for Computational Linguistics (ACL)Weiyang Guo, Jing Li, Wenya Wang, et al.2025 · 14 citations
  92. Open-Endedness is Essential for Artificial Superhuman IntelligencearXiv:2406.04268Edward Hughes, Michael Dennis, Jack Parker-Holder, et al.2024 · 14 citations
  93. Paralinguistics-Aware Speech-Empowered Large Language Models for Natural ConversationConference on Neural Information Processing Systems (NeurIPS)Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, et al.2024 · 13 citations
  94. Task-Agnostic Low-Rank Adapters for Unseen English DialectsConference on Empirical Methods in Natural Language Processing (EMNLP)Zedian Xiao, William Held, Yanchen Liu, et al.2023 · 13 citations
  95. MiniPLM: Knowledge Distillation for Pre-Training Language ModelsarXiv:2410.17215Yuxian Gu, Hao Zhou, Fandong Meng, et al.2024 · 12 citations
  96. AlphaOne: Reasoning Models Thinking Slow and Fast at Test TimeConference on Empirical Methods in Natural Language Processing (EMNLP)Junyu Zhang, Runpei Dong, Han Wang, et al.2025 · 10 citations
  97. Distilling Internet-Scale Vision-Language Models into Embodied AgentsarXiv:2301.12507Theodore Sumers, Kenneth Marino, Arun Ahuja, et al.2023 · 9 citations
  98. Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for SwedishWorkshop on the Role of Resources in the Age of Large Language ModelsOskar Holmström, Jenny Kunz, Marco Kuhlmann2023 · 8 citations
  99. Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation ModelsarXiv:2405.15143Cong Lu, Shengran Hu, Jeff Clune2024 · 7 citations
  100. Training AI Co-Scientists Using Rubric RewardsarXiv:2512.23707Shashwat Goel, Rishi Hazra, Dulhan Jayalath, et al.2025 · 6 citations

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