23 citations · 23 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Higher Embedding Dimension Creates a Stronger World Model for a Simple Sorting Task
Brady Bhalla, Honglu Fan, Nancy Chen +1
We investigate how embedding dimension affects the emergence of an internal "world model" in a transformer trained with reinforcement learning to perform bubble-sort-style adjacent…
cs.LG2025★ 23 cited
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1144
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…