🧑‍🔬 Who cites Matthias Assenmacher

31 citations of their works from 31 papers of our library (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · ← Matthias Assenmacher

1. Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL)Bolei Ma, Yuting Li, Wei Zhou, et al.2025 · 49 citations
2. “Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?Findings of the Association for Computational LinguisticsBeiduo Chen, Xinpeng Wang, Siyao Peng, et al.2024 · 18 citations
3. A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLIFindings of the Association for Computational LinguisticsBeiduo Chen, Siyao Peng, Anna Korhonen, et al.2025 · 9 citations
4. Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMsTransactions of the Association for Computational Linguistics (TACL)Sara Papi, Javier Garcia Gilabert, Zachary Hopton, et al.2026 · 7 citations
5. Don't Trust Generative Agents to Mimic Communication on Social Networks Unless You Benchmarked their Empirical RealismConference of the European Chapter of the Association for Computational Linguistics (EACL)Simon Münker, Nils Schwager, Achim Rettinger2026 · 4 citations
6. Digitizing Nepal's Written Heritage: A Comprehensive HTR Pipeline for Old Nepali ManuscriptsAnnual Meeting of the Association for Computational Linguistics (ACL)Anjali Sarawgi, Esteban Garces Arias, Christof Zotter2026 · 2 citations
7. Almost Clinical: Linguistic properties of synthetic electronic health recordsWorkshop on Linguistic Analysis for HealthSerge Sharoff, John Baker, Dr David Francis Hunt, et al.2026 · 1 citation
8. German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM StudiesLanguage Resources and Evaluation Conference (LREC)Jens Rupprecht, Leon Froehling, Claudia Wagner, et al.2026 · 1 citation
9. Learning from Convenience Samples: A Case Study on Fine-Tuning LLMs for Survey Non-response in the German Longitudinal Election StudyarXiv:2509.25063Tobias Holtdirk, Dennis Assenmacher, Arnim Bleier, et al.2025 · 1 citation
10. From Traditional Taggers to LLMs: A Comparative Study of POS Tagging for Medieval Romance LanguagesInternational Conference on Natural Language Processing for the Digital HumanitiesMatthias Schöffel, Esteban Garces Arias2026
11. Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social SimulationConference of the European Chapter of the Association for Computational Linguistics (EACL)Bolei Ma, Yong Cao, Indira Sen, et al.2026

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