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

collaborators

2 papers

cs.CR2026

All you need to break LLMs are Black-Box, Adapting, Efficient, Transferable, Harmful, Applicable ... Attacks

Vincent Limbach, Jonas Dornbusch, David Lüdke +2

Accurately evaluating adversarial robustness is a longstanding challenge. A flawed attack design can inflate robustness estimates, making deployment risk assessment and defense com…

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…