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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 3 of 3 · 201–238 · ← Sydney von Arx

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  1. Automating Exploratory Proteomics Research via Language ModelsarXiv:2411.03743Ning Ding, Shang Qu, Linhai Xie, et al.2024 · 6 citations
  2. MedAraBench: Large-Scale Arabic Medical Question Answering Dataset and BenchmarkarXiv:2602.01714Mouath Abu-Daoud, Leen Kharouf, Omar El Hajj, et al.2026 · 5 citations
  3. AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World ContextsAnnual Meeting of the Association for Computational Linguistics (ACL)Keyu Li, Junhao Shi, Yang Xiao, et al.2026 · 4 citations
  4. Barriers to Discrete Reasoning with Transformers: A Survey Across Depth, Exactness, and BandwidthConference of the European Chapter of the Association for Computational Linguistics (EACL)Michelle Yuan, Weiyi Sun, Amir H. Rezaeian, et al.2026 · 3 citations
  5. Do Large Language Models Reflect Demographic Pluralism in Safety?Findings of the Association for Computational LinguisticsUsman Naseem, Gautam Siddharth Kashyap, Sushant Kumar Ray, et al.2026 · 3 citations
  6. Gender Disambiguation in Machine Translation: Diagnostic Evaluation in Decoder-Only ArchitecturesLanguage Resources and Evaluation Conference (LREC)Chiara Manna, Hosein Mohebbi, Afra Alishahi, et al.2026 · 3 citations
  7. Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race?Findings of the Association for Computational LinguisticsYuan Xin, Dingfan Chen, Linyi Yang, et al.2026 · 3 citations
  8. Sparse Brains are Also Adaptive Brains: Cognitive-Load-Aware Dynamic Activation for LLMsFindings of the Association for Computational LinguisticsYiheng Yang, Yujie Wang, Chi Ma, et al.2026 · 3 citations
  9. Benchmarking Large Language Models for Chinese and Japanese IMEs: Phonetic-to-Character Generation and Textual Error CorrectionLanguage Resources and Evaluation Conference (LREC)Yuchun Zou, Tedd Lee, Xiaodi Fan, et al.2026 · 2 citations
  10. Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Yiyuan Li, Rakesh Menon, Sayan Ghosh, et al.2023 · 2 citations
  11. Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the FutureAnnual Meeting of the Association for Computational Linguistics (ACL)Sihong Wu, Owen Jiang, Yilun Zhao, et al.2026 · 1 citation
  12. Compiling Activation Steering into Weights via Null-Space Constraints for Stealthy BackdoorsAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Yin, Tianxu Han, Naen Xu, et al.2026 · 1 citation
  13. From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language ModelsFindings of the Association for Computational LinguisticsJiaxin Zhang, Wendi Cui, Zhuohang Li, et al.2026 · 1 citation
  14. From Weights to Activations: Is Steering the Next Frontier of Adaptation?Annual Meeting of the Association for Computational Linguistics (ACL)Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, et al.2026 · 1 citation
  15. From “Thinking” to “Justifying”: Aligning High-Stakes Explainability with Professional Communication StandardsFindings of the Association for Computational LinguisticsChen Qian, Yimeng Wang, Yu Chen, et al.2026 · 1 citation
  16. AAPO: Enhancing the Reasoning Capabilities of LLMs with Advantage MarginAnnual Meeting of the Association for Computational Linguistics (ACL)Jian Xiong, Jingbo Zhou, Jingyong Ye, et al.2026
  17. AmazoniaNLP: A Survey of Extreme Low-Resource Languages in the Peruvian-Brazilian AmazonSIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered LanguagesRodolfo Joel Zevallos, Fabrício Carraro, John E. Ortega2026
  18. Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based OptimizersConference of the European Chapter of the Association for Computational Linguistics (EACL)Andrew Zhao, Reshmi Ghosh, Vitor R. Carvalho, et al.2026
  19. CIA: Inferring the Communication Topology from LLM-based Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Yongxuan Wu, Xixun Lin, He Zhang, et al.2026
  20. Computational models of pragmatic reasoning with flexible generation of meaning and expression alternativesarXiv:2607.18443Polina Tsvilodub, Fausto Carcassi, Michael Franke2026
  21. Fiction Flows: A Replication and Reinterpretation of Narrative SequentialityAnnual Meeting of the Association for Computational Linguistics (ACL)Andrew Piper, Sil Hamilton, Haiqi Zhou, et al.2026
  22. How Far Can Bias Go? Tracing Bias from Pre-Training Data to AlignmentLanguage Resources and Evaluation Conference (LREC)Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al.2026
  23. I Don't Need Solution. I Need Emotional Support : Empathetic LLMs based on Emotional ValidationFindings of the Association for Computational LinguisticsSuhyune Son, Jungwoo Lim, Myunghoon Kang, et al.2026
  24. Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health CorpusLanguage Resources and Evaluation Conference (LREC)Aidan Mannion, Cécile Macaire, Armand Violle, et al.2026
  25. Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical DistributionsAnnual Meeting of the Association for Computational Linguistics (ACL)Minda Zhao, Yilun Du, Mengyu Wang2026
  26. Linguistic symptoms: retrieval-augmented generation and reasoning in LLMs under Portuguese–English variation in medical contexts (Sintomas Linguísticos: Geração Aumentada por Recuperação e Raciocínio em LLMs sob a Variação Português-Inglês em Contextos Médicos)International Conference on Computational Processing of PortugueseGuilherme Vianna de Moura, Gabriel Assis, Aline Paes2026
  27. Markovian Linguistic-Temporal Bridge: Unlocking the Potential of LLMs for Time Series ForecastingAnnual Meeting of the Association for Computational Linguistics (ACL)Siming Sun, Kai Zhang, Xuejun Jiang, et al.2026
  28. Reference Attack: A New Cross-Modal Jailbreaking Attack against Multimodal Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yulong Wang, Yifei Fu, Jiayi Gao2026
  29. Sentiment Classification of Gaza War Headlines: A Comparative Analysis of Large Language Models and Arabic Fine-Tuned BERT ModelsarXiv:2604.08566 · SSRN (2026)Amr Eleraqi; Hager H. Mustafa;, Abdul Hadi N. Ahmed2026
  30. Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and ReasoningFindings of the Association for Computational LinguisticsCong Wan, Ying He, Zhongzhan Huang, et al.2026
  31. The Validity of Coreference-based Evaluations of Natural Language UnderstandingarXiv:2602.16200Ian Porada2026
  32. Toward Dialect-Aware Safety Evaluation for Arabic Large Language ModelsWorkshop on Trustworthy NLPWajdi Zaghouani2026
  33. Toward Responsible and Epistemically Grounded Multilingual LLMs for Computational Social Science and HumanitiesShaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LRECWajdi Zaghouani2026
  34. Embodied Intelligence Systems Based on Large Models: A Survey (基于大模型的具身智能系统综述)Acta Automatica Sinica (自动化学报)Wensheng Wang (王文晟), Ning Tan (谭宁), Kai Huang (黄凯), et al.2025
  35. From Measurement to Mitigation: Exploring the Transferability of Debiasing Approaches to Gender Bias in Maltese Language ModelsWorkshop on Gender Bias in Natural Language ProcessingMelanie Galea, Claudia Borg2025
  36. The Need for Robust and Inclusive Benchmarks in Evaluating LLMs on Arabic TextInternational Conference on Natural Language and Speech ProcessingLubana Al Rayes, Ashraf Elnagar2025
  37. Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)Journal of SoftwareZeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.2024
  38. Questions After ChatGPT: Opportunities and Challenges of Very Large Pre-trained Models (问答ChatGPT之后: 超大预训练模型的机遇和挑战)Acta Automatica Sinica (自动化学报)Jingwei Lu (卢经纬), Chao Guo (郭超), Xingyuan Dai (戴星原), et al.2023

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