activity
20182026
most citedSolving Quantitative Reasoning Problems with Language Models

281 citations · 451 across the 25 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CL2024★ 4 cited

INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge

Angelika Romanou, Negar Foroutan, Anna Sotnikova +56

The performance differential of large language models (LLM) between languages hinders their effective deployment in many regions, inhibiting the potential economic and societal val…

cs.LG2024

Deriving Activation Functions Using Integration

Allen Hao Huang, Imanol Schlag

Our work proposes a novel approach to designing activation functions by focusing on their gradients and deriving the corresponding activation functions using integration. We introd…

cs.LG2024★ 2 cited

Understanding and Minimising Outlier Features in Neural Network Training

Bobby He, Lorenzo Noci, Daniele Paliotta +2

Outlier Features (OFs) are neurons whose activation magnitudes significantly exceed the average over a neural network's (NN) width. They are well known to emerge during standard tr…

cs.CL2024

The Role of Language Imbalance in Cross-lingual Generalisation: Insights from Cloned Language Experiments

Anton Schäfer, Shauli Ravfogel, Thomas Hofmann +2

Multilinguality is crucial for extending recent advancements in language modelling to diverse linguistic communities. To maintain high performance while representing multiple langu…

cs.CL2024

On the Effect of (Near) Duplicate Subwords in Language Modelling

Anton Schäfer, Thomas Hofmann, Imanol Schlag +1

Tokenisation is a core part of language models (LMs). It involves splitting a character sequence into subwords which are assigned arbitrary indices before being served to the LM. W…