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20172026
most citedBPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages

129 citations · 148 across the 20 of their papers we have counts for

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cs.CL2024

Representational Analysis of Binding in Language Models

Qin Dai, Benjamin Heinzerling, Kentaro Inui

Entity tracking is essential for complex reasoning. To perform in-context entity tracking, language models (LMs) must bind an entity to its attribute (e.g., bind a container to its…

cs.CL2024

The Geometry of Numerical Reasoning: Language Models Compare Numeric Properties in Linear Subspaces

Ahmed Oumar El-Shangiti, Tatsuya Hiraoka, Hilal AlQuabeh +2

This paper investigates whether large language models (LLMs) utilize numerical attributes encoded in a low-dimensional subspace of the embedding space when answering questions invo…

cs.CL2024

The Curse of Popularity: Popular Entities have Catastrophic Side Effects when Deleting Knowledge from Language Models

Ryosuke Takahashi, Go Kamoda, Benjamin Heinzerling +2

Language models (LMs) encode world knowledge in their internal parameters through training. However, LMs may learn personal and confidential information from the training data, lea…

cs.CL2024

ACORN: Aspect-wise Commonsense Reasoning Explanation Evaluation

Ana Brassard, Benjamin Heinzerling, Keito Kudo +2

Evaluating the quality of free-text explanations is a multifaceted, subjective, and labor-intensive task. Large language models (LLMs) present an appealing alternative due to their…

cs.CL2024

Monotonic Representation of Numeric Properties in Language Models

Benjamin Heinzerling, Kentaro Inui

Language models (LMs) can express factual knowledge involving numeric properties such as Karl Popper was born in 1902. However, how this information is encoded in the model's inter…