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cs.CL2026
Language Models Learn Universal Representations of Numbers and Here's Why You Should Care
Michal Å tefánik, Timothee Mickus, Marek KadlÄÃk +7
Prior work has shown that large language models (LLMs) often converge to accurate input embedding for numbers, based on sinusoidal representations. In this work, we quantify that t…
cs.CL2025
On the Notion that Language Models Reason
Bertram Højer
Language models (LMs) are said to be exhibiting reasoning, but what does this entail? We assess definitions of reasoning and how key papers in the field of natural language process…
cs.CL2025
Research Community Perspectives on "Intelligence" and Large Language Models
Bertram Højer, Terne Sasha Thorn Jakobsen, Anna Rogers +1
Despite the widespread use of ''artificial intelligence'' (AI) framing in Natural Language Processing (NLP) research, it is not clear what researchers mean by ''intelligence''. To…