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Michael Hahn

17 papers · 2013–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ πŸƒ Academic Marathon (12) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (13)
πŸ—ΊοΈ Taxonomy Completionist (32) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ† Keyword Champion ⚑ Prolific Year (7) ❓ The Questioner πŸ’Ž Century Club (15) πŸ—ƒοΈ Keyword Collector (74)

Conferences

EMNLP (5) ACL (4) NIPS (3) CONLL (1) EACL (1) ICLR (1) ICML (1) SEMEVAL (1)

Papers

Systematicity between Forms and Meanings across Languages Supports Efficient Communication ACL 2026 Tug-of-war between idioms’ figurative and literal interpretations in LLMs EACL 2026 Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers ICML 2025 One Size Fits None: Rethinking Fairness in Medical AI ACL 2025 Language models can learn implicit multi-hop reasoning, but only if they have lots of training data EMNLP 2025 A Formal Framework for Understanding Length Generalization in Transformers ICLR 2025 Lossy Context Surprisal Predicts Task-Dependent Patterns in Relative Clause Processing EMNLP 2024 Separations in the Representational Capabilities of Transformers and Recurrent Architectures NIPS 2024 The Expressive Capacity of State Space Models: A Formal Language Perspective NIPS 2024 InversionView: A General-Purpose Method for Reading Information from Neural Activations NIPS 2024 More frequent verbs are associated with more diverse valency frames: Efficient principles at the lexicon-grammar interface ACL 2024 Why are Sensitive Functions Hard for Transformers? ACL 2024 Lossy Context Surprisal Predicts Task-Dependent Patterns in Relative Clause Processing CONLL 2024 An Information-Theoretic Characterization of Morphological Fusion EMNLP 2021 RNNs can generate bounded hierarchical languages with optimal memory EMNLP 2020 Modeling Human Reading with Neural Attention EMNLP 2016 CoMeT: Integrating different levels of linguistic modeling for meaning assessment SEMEVAL 2013