Carsten Eickhoff
Carsten Eickhoff has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Vision & language, Multilingual & cross-lingual NLP; often with Michal Golovanevsky, Ritambhara Singh, William Rudman.
OpenAlex · ORCID · Wikidata · h-index 30 · 246 works · 4,948 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 204 times in our library · 13 more in our library without a page yet · ⭐ Paper Stars ranking: #9129
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksArts and Humanities · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work
🧭 Topics 3Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 workLanguage models & pretraining · 2 worksVision & language · 2 works
Works by year
2020s
Papers
- Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline (2025 · 9 citations)
Multilingual LLMs often answer the same factual question differently depending on the language, and they tend to do worse outside high-resource languages. - Pixels Versus Priors: Controlling Knowledge Priors in Vision-Language Models through Visual Counterfacts (2025 · 8 citations)
Multimodal LLMs answer visual questions well, but it is unclear whether they rely on knowledge memorized during pretraining or on the image they are shown. - Mechanisms of Prompt-Induced Hallucination in Vision–Language Models (2026 · 2 citations)
Vision–language models sometimes trust a user's wording more than what the image shows. This paper studies that failure, called prompt-induced hallucination (PIH), using object counting. Images from CountBench are first counted correctly by the model. The same images are then paired with a request to describe more…
All works
- Linearly Mapping from Image to Text Space ↗arXiv (Cornell University) · no summary yetJack Merullo et al.2022 · 65 citations
- Language Models Implement Simple Word2Vec-style Vector Arithmetic ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetJack Merullo, Carsten Eickhoff, Ellie Pavlick2024 · 53 citations
- Circuit Component Reuse Across Tasks in Transformer Language Models ↗arXiv (Cornell University) · no summary yetJack Merullo, Carsten Eickhoff, Ellie Pavlick2023 · 48 citations
- SIMSUM: Document-level Text Simplification via Simultaneous Summarization ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetSofia Blinova et al.2023 · 24 citations
- Are “Undocumented Workers” the Same as “Illegal Aliens”? Disentangling Denotation and Connotation in Vector Spaces ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetAlbert Webson et al.2020 · 23 citations
- The Same But Different: Structural Similarities and Differences in Multilingual Language Modeling ↗arXiv (Cornell University) · no summary yetRuochen Zhang et al.2024 · 14 citations
- Re-Evaluating Evaluation for Multilingual Summarization ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetJessica Zosa Forde et al.2024 · 12 citations
- Paths Not Taken: Understanding and Mending the Multilingual Factual Recall PipelineConference on Empirical Methods in Natural Language Processing (EMNLP)Meng Lu, Ruochen Zhang, Carsten Eickhoff, et al.2025 · 9 citations
- Text Simplification via Adaptive Teaching ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetSeyed Ali Bahrainian, Jonathan Dou, Carsten Eickhoff2024 · 9 citations
- Talking Heads: Understanding Inter-Layer Communication in Transformer Language Models ↗neural information processing systems · no summary yetJack Merullo, Carsten Eickhoff, Ellie Pavlick2024 · 9 citations
- Pixels Versus Priors: Controlling Knowledge Priors in Vision-Language Models through Visual CounterfactsConference on Empirical Methods in Natural Language Processing (EMNLP)Michal Golovanevsky, William Rudman, Michael A. Lepori, et al.2025 · 8 citations
- Pretraining on Interactions for Learning Grounded Affordance Representations ↗Proceedings of the 11th Joint Conference on Lexical and Computational Semantics · no summary yetJack Merullo et al.2022 · 5 citations
- Mechanisms of Prompt-Induced Hallucination in Vision–Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)William Rudman, Michal Golovanevsky, Dana Arad, et al.2026 · 2 citations
- A Novel Corpus of Discourse Structure in Humans and Computers ↗arXiv (Cornell University) · no summary yetBabak Hemmatian et al.2021 · 1 citation
- The Anatomy of Discourse: Linguistic Predictors of Narrative and Argument Quality Motivation ↗no summary yetSheridan Feucht et al.2021
- Generative Neural Information Retrieval Models ↗OSF Preprints (OSF Preprints) · no summary yetEllie Pavlick, Carsten Eickhoff2019
Co-authors here
- Michal Golovanevsky ×2
- Ritambhara Singh ×2
- William Rudman ×2
- Dana Arad
- Ellie Pavlick
- Kyle Mahowald
- Meng Lu
- Ruochen Zhang
- Yonatan Belinkov
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP) ×4: EMNLP 2025 ×2
- Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026
- Findings of the Association for Computational Linguistics: ACL 2024
- OSF Preprints (OSF Preprints)
- Proceedings of the 11th Joint Conference on Lexical and Computational Semantics
- Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- neural information processing systems
Cited by
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