Michael Hahn 0001

17 publications

6 venues

H Index 9

Affiliation

Saarland University, Department of Language Science and Technology, Saarbr cken, Germany
Stanford University, Linguistics Department, CA, USA
University of Edinburgh, School of Informatics, UK
University of T bingen, Germany

Links

Name Venue Year citations
Language models can learn implicit multi-hop reasoning, but only if they have lots of training data. EMNLP 2025 4
Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers. ICML 2025 23
A Formal Framework for Understanding Length Generalization in Transformers. ICLR 2025 0
Separations in the Representational Capabilities of Transformers and Recurrent Architectures. NIPS/NeurIPS 2024 26
More frequent verbs are associated with more diverse valency frames: Efficient principles at the lexicon-grammar interface. ACL 2024 1
InversionView: A General-Purpose Method for Reading Information from Neural Activations. NIPS/NeurIPS 2024 9
Why are Sensitive Functions Hard for Transformers? ACL 2024 54
Information Locality in the Processing of Classifier-Noun Dependencies in Mandarin Chinese. Cognitive Science 2024 0
The Expressive Capacity of State Space Models: A Formal Language Perspective. NIPS/NeurIPS 2024 32
How Do Syntactic Statistics and Semantic Plausibility Modulate Local Coherence Effects. Cognitive Science 2023 1
Explaining patterns of fusion in morphological paradigms using the memory-surprisal tradeoff. Cognitive Science 2022 4
Modeling Fixation Behavior in Reading with Character-level Neural Attention. Cognitive Science 2022 1
An Information-Theoretic Characterization of Morphological Fusion. EMNLP 2021 15
RNNs can generate bounded hierarchical languages with optimal memory. EMNLP 2020 59
Character-based Surprisal as a Model of Reading Difficulty in the Presence of Errors. Cognitive Science 2019 5
An Information-Theoretic Explanation of Adjective Ordering Preferences. Cognitive Science 2018 45
Modeling Human Reading with Neural Attention. EMNLP 2016 57
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