Jan Buys
Jan Buys — researcher or builder tracked in the Angestrom contributor network.
Investors · 1
ARCH Venture Partners
ARCH Venture Partners — investor tracked in the Angestrom funding graph.
Papers · 2
Knowledgeless Language Models: Suppressing Parametric Recall for Evidence-Grounded Language Modeling
Language models encode substantial factual knowledge in their parameters, which can lead to unreliable behavior when this knowledge is outdated, incomplete, or misaligned with the provided context. In this work, we study whether modifying the pretraining signal can systematically shift models away from parametric recall and toward evidence-grounded reasoning. We introduce Knowledge--''Less'' Language Models (KLLMs), a fundamentally different epistemic training paradigm for LLMs, which are pretrained on corpora in which named entities are anonymized, thereby removing a primary channel for entit
The Geometry of Low-Resource Language Representations
The performance gap between low- and high-resource languages in LLMs is widely known, but it remains unclear which internal model factors drive these disparities. In this paper, we characterise this gap through the lens of representational geometry. Comparing the geometric properties of hidden representations across 30 languages reveals that LLM geometry is systematically related to language data availability. The most consistent effect is in final layers, where low-resource languages exhibit representational degeneration. To counter this, we investigate the effectiveness of regularisation ter