3 papers
cs.CL2025
Mask and You Shall Receive: Optimizing Masked Language Modeling For Pretraining BabyLMs
Lukas Edman, Alexander Fraser
We describe our strategy for the 2025 edition of the BabyLM Challenge. Our main contribution is that of an improved form of Masked Language Modeling (MLM), which adapts the probabi…
cs.CL2025
EXECUTE: A Multilingual Benchmark for LLM Token Understanding
Lukas Edman, Helmut Schmid, Alexander Fraser
The CUTE benchmark showed that LLMs struggle with character understanding in English. We extend it to more languages with diverse scripts and writing systems, introducing EXECUTE.…
cs.CL2024
CUTE: Measuring LLMs' Understanding of Their Tokens
Lukas Edman, Helmut Schmid, Alexander Fraser
Large Language Models (LLMs) show remarkable performance on a wide variety of tasks. Most LLMs split text into multi-character tokens and process them as atomic units without direc…