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Lukas Edman

CUTE: Measuring LLMs’ Understanding of Their Tokens
2024 · Lukas Edman, Helmut Schmid, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 6
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EXECUTE: A Multilingual Benchmark for LLM Token Understanding
2025 · Lukas Edman, Helmut Schmid, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
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Mask and You Shall Receive: Optimizing Masked Language Modeling For Pretraining BabyLMs
2025 · Lukas Edman, Alexander Fraser · BabyLM Workshop · 1
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Squeezing More from Limited Data with Recursive Transformers
2026 · Gülbahar, Serdar, Edman, Lukas, et al. · arXiv (Cornell University)
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PluraMath: Extending Mathematical Reasoning Evaluation Beyond High-Resource Languages
2026 · Dementieva, Daryna, Babakov, Nikolay, et al. · arXiv (Cornell University)
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From Specialization to Generalization: Instruction-tuned LLMs for Robust Harmful Content Mitigation
2026 · Lukas Edman, Daryna Dementieva, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Toppling the Hierarchy in Byte-level Language Modeling
2026 · Lukas Edman, Alexander Fraser · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Recursive Transformers for BabyLM 2026
2026 · Serdar Gülbahar, Alexander Fraser, et al. · BabyLM Workshop
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Findings of the WMT 2025 Shared Task LLMs with Limited Resources for Slavic Languages: MT and QA
2025 · Shu Okabe, Daryna Dementieva, et al. · Conference on Machine Translation (WMT)
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Are BabyLMs Second Language Learners?
2024 · Edman, Lukas, Bylinina, Lisa, et al. · arXiv (Cornell University)
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Works count: 11
Citation count: 8
H-index: 1
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