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Who cites Manuel Faysse

441 citations of their works from 409 papers of our library (of the 149,439 whose bibliographies we read) · 121 with a page here, the most cited first · page 2 of 2 · 101–121 · ← Manuel Faysse

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  1. Lang2Act: Fine-Grained Visual Reasoning through Self-Emergent Linguistic ToolchainsFindings of the Association for Computational LinguisticsYuqi Xiong, Chunyi Peng, Zhipeng Xu, et al.2026
  2. Language Proficiency as a Recoverable Dimension in Multilingual LLM EmbeddingsJoint Workshop on Readability and Text Simplification (READIxTSAR) @ LRECRodrigo Wilkens2026
  3. LLMs Meet Isolation Kernel: Lightweight, Learning-free Binary Embeddings for Fast RetrievalFindings of the Association for Computational LinguisticsZhibo Zhang, Yang Xu, Kai Ming Ting, et al.2026
  4. LuxSQA: Ask Me in Luxembourgish with TTS-Augmented Spoken Question AnsweringarXiv:2607.02763Nina Hosseini-Kivanani, Marco Matassoni, Alessio Brutti2026
  5. LëtzCross: A Cross-Lingual Page-Level Benchmark for Multimodal Retrieval over Luxembourgish DocumentsarXiv:2608.21714Omar El Bachyr, Fred Philippy, Laura Maria Bernardy, et al.2026
  6. MAB-DQA: Addressing Query Aspect Importance in Document Question Answering with Multi-Armed BanditsAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Xiang, Yunshan Ma, Xiaoyu Du, et al.2026
  7. MameLoshnLM: Yiddish Language Model and Evaluation BenchmarkarXiv:2608.05850 · Proceedings of the Third Conference on Language Modeling (COLM 2026), 2026Uri Katz, Omer Goldman, Tomasz Limisiewicz, et al.2026
  8. MDocRAG-RL: Empowering Multi-Modal Document RAG via Complex Visual Reasoning with Reinforcement LearningFindings of the Association for Computational LinguisticsZhongyu Wang2026
  9. Modeling semantic association in self-paced reading with language model embeddingsWorkshop on Cognitive Modeling and Computational Linguistics (CMCL)Sara Møller Østergaard, Kenneth Enevoldsen, Afra Alishahi, et al.2026
  10. Quantifying the Impact of Translation Errors on Multilingual LLM EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Klaudia Thellmann, Bernhard Stadler, Michael Färber, et al.2026
  11. Reading Time in the Wild: An Assessment of Readability Predictors Based on Naturally-Observed Reading TimesLanguage Resources and Evaluation Conference (LREC)Sijbren van Vaals, Rik van Noord, Malvina Nissim2026
  12. Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language ModelingarXiv:2604.28075Ansar Aynetdinov, Patrick Haller, Alan Akbik2026
  13. SkMTEB: Slovak Massive Text Embedding Benchmark and Model AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Marek Suppa, Andrej Ridzik, Daniel Hládek, et al.2026
  14. Small Can Be Beautiful in LLMs for SSH: a Case for BulgarianShaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LRECKiril Simov, Nikolay Paev, Petya Osenova, et al.2026
  15. SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related DocumentsAnnual Meeting of the Association for Computational Linguistics (ACL)Michelle Wastl, Jannis Vamvas, Rico Sennrich2026
  16. Take It All: Ensemble Retrieval for Multimodal Evidence AggregationFact Extraction and VERification Workshop (FEVER)Max Upravitelev, Veronika Solopova, Premtim Sahitaj, et al.2026
  17. The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL PlatformAnnual Conference of the European Association for Machine Translation (EAMT)Panagiotis Tsolakis, Ziqian Peng, Laurent Romary, et al.2026
  18. The Overlooked Role of Graded Relevance Thresholds in Multilingual Dense RetrievalFindings of the Association for Computational LinguisticsTomer Wullach, Ori Shapira, Amir David Nissan Cohen2026
  19. Training Biomedical Retrievers From Large-Scale Citation ContextsBioNLPXing David Wang, Duy Le Thanh, Ulf Leser2026
  20. When Tables Go Crazy: Evaluating Multimodal Models on French Financial DocumentsFinancial Narrative Processing WorkshopVirginie Mouilleron, Théo Lasnier, Anna Mosolova, et al.2026
  21. Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationAnnual Conference of the European Association for Machine Translation (EAMT)Shenbin Qian, Yves Scherrer2026

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