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Who cites Avanika Narayan

1,077 citations of their works from 1,068 papers of our library (of the 149,439 whose bibliographies we read) · 226 with a page here, the most cited first · page 3 of 3 · 201–226 · ← Avanika Narayan

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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. Computational models of pragmatic reasoning with flexible generation of meaning and expression alternativesarXiv:2607.18443Polina Tsvilodub, Fausto Carcassi, Michael Franke2026
  7. 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
  8. Hemolix.TabGen: Optimized Table Generation from DocumentsAnnual Meeting of the Association for Computational Linguistics (ACL)Gyanendra Shrestha, Todor Ivanov, Karthik Vemireddy, et al.2026
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. The Validity of Coreference-based Evaluations of Natural Language UnderstandingarXiv:2602.16200Ian Porada2026
  20. Toward Dialect-Aware Safety Evaluation for Arabic Large Language ModelsWorkshop on Trustworthy NLPWajdi Zaghouani2026
  21. Toward Responsible and Epistemically Grounded Multilingual LLMs for Computational Social Science and HumanitiesShaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LRECWajdi Zaghouani2026
  22. 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
  23. 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
  24. The Need for Robust and Inclusive Benchmarks in Evaluating LLMs on Arabic TextInternational Conference on Natural Language and Speech ProcessingLubana Al Rayes, Ashraf Elnagar2025
  25. 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
  26. 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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