Michael Hahn
Michael Hahn has 5 papers in our library, in 2020–2026, most of them on Language models & pretraining, Idioms & multiword expressions; often with Richard Futrell, Christopher D. Manning, Clara Meister.
OpenAlex · ORCID · Wikidata · h-index 14 · 64 works · 718 citations OpenAlex, 2026-10-14
📄 5 works in our library · 🔗 Cited 94 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #6600
Affiliations
Fields, topics and concepts
📚 Shelves 10The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksComputer Science · 4 worksLanguage and Linguistics · 5 worksArtificial Intelligence · 4 worksComputational Theory and Mathematics · 1 workPsychology · 2 worksDevelopmental and Educational Psychology · 1 workCultural Studies · 1 workExperimental and Cognitive Psychology · 1 workSocial Sciences · 1 work
🧭 Topics 2Research subjects and languages the work is about.Idioms & multiword expressions · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- RNNs can generate bounded hierarchical languages with optimal memory (2020 · 65 citations)
RNN language models capture natural-language syntax well in practice, but the theory behind this has been thin. - Sensitivity as a Complexity Measure for Sequence Classification Tasks (2021 · 26 citations)
Why can bag-of-words models handle some NLP classification tasks, while others yielded only to large pretrained networks? Hahn, Jurafsky and Futrell answer this by adapting sensitivity, a concept from the analysis of Boolean functions, to natural-language inputs. - A Cross-Linguistic Pressure for Uniform Information Density in Word Order (2023 · 24 citations)
Languages differ in word order but share statistical tendencies, which are often explained by functional pressures such as dependency length minimization. - Tug-of-war between idioms' figurative and literal interpretations in LLMs (2026 · 1 citation)
The paper asks how autoregressive transformers handle idioms, which can be read both figuratively (e.g., "to die") and literally (e.g., physically kicking a bucket). - Systematicity between Forms and Meanings across Languages Supports Efficient Communication (2026)
Research on efficient communication shows that lexicons balance simplicity against accuracy. Its standard formalization, the Information Bottleneck (IB) model, treats word forms as unanalysable symbols. As a result, IB can only detect syncretism (one form shared by several meanings), not partial, systematic overlap…
All works
- Modeling Human Reading with Neural Attention ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetMichael Hahn, Frank Keller2016 · 75 citations
- RNNs can generate bounded hierarchical languages with optimal memoryConference on Empirical Methods in Natural Language Processing (EMNLP)John Hewitt, Michael Hahn, Surya Ganguli, et al.2020 · 65 citations
- An information-theoretic explanation of adjective ordering preferences ↗eScholarship (California Digital Library) · no summary yetMichael Hahn et al.2018 · 43 citations
- Sensitivity as a Complexity Measure for Sequence Classification TasksTransactions of the Association for Computational Linguistics (TACL)Michael Hahn, Dan Jurafsky, Richard Futrell2021 · 26 citations
- A Cross-Linguistic Pressure for Uniform Information Density in Word OrderTransactions of the Association for Computational Linguistics (TACL)Thomas Hikaru Clark, Clara Meister, Tiago Pimentel, et al.2023 · 24 citations
- Tug-of-war between idioms' figurative and literal interpretations in LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Soyoung Oh, Xinting Huang, Mathis Pink, et al.2026 · 1 citation
- Born a Transformer — Always a Transformer? On the Effect of Pretraining on Architectural Abilities ↗neural information processing systems · no summary yetMayank Jobanputra et al.2025 · 1 citation
- Systematicity between Forms and Meanings across Languages Supports Efficient CommunicationAnnual Meeting of the Association for Computational Linguistics (ACL)Doreen Osmelak, Yang Xu, Michael Hahn, et al.2026
Co-authors here
- Richard Futrell ×2
- Christopher D. Manning
- Clara Meister
- Dan Jurafsky
- John Hewitt
- Percy Liang
- Roger Levy
- Ryan Cotterell
- Surya Ganguli
- Thomas Hikaru Clark
- Tiago Pimentel
- Vera Demberg
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2: EMNLP 2020
- Transactions of the Association for Computational Linguistics (TACL) ×2: Transactions of the Association for Computational Linguistics (TACL) 2023, Transactions of the Association for Computational Linguistics (TACL) 2021
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
- eScholarship (California Digital Library)
- neural information processing systems
Cited by
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