most citedRegress, Don't Guess -- A Regression-like Loss on Number Tokens for Language Models

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.CL2024★ 1 cited

Regress, Don't Guess -- A Regression-like Loss on Number Tokens for Language Models

Jonas Zausinger, Lars Pennig, Anamarija Kozina +13

While language models have exceptional capabilities at text generation, they lack a natural inductive bias for emitting numbers and thus struggle in tasks involving quantitative re…

cs.CV2024

Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes

Ivica Obadic, Alex Levering, Lars Pennig +3

Predicting socioeconomic indicators from satellite imagery with deep learning has become an increasingly popular research direction. Post-hoc concept-based explanations can be an i…