3 papers
cs.CR2026
Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models
Jaroslaw Janas, Josef Pieprzyk, Pawel Morawiecki
Large Language Models (LLMs) have created an urgent need for reliable watermarking methods that enable attribution of generated text while remaining robust to editing and paraphras…
cs.CR2026
LLM-Text Watermarking based on Lagrange Interpolation
JarosÅaw Janas, PaweÅ Morawiecki, Josef Pieprzyk
The rapid advancement of LLMs (Large Language Models) has established them as a foundational technology for many AI and ML-powered human computer interactions. A critical challenge…
cs.CL2024
Can Models Help Us Create Better Models? Evaluating LLMs as Data Scientists
MichaÅ Pietruszka, Åukasz Borchmann, Aleksander JÄdrosz +1
We present a benchmark for large language models designed to tackle one of the most knowledge-intensive tasks in data science: writing feature engineering code, which requires doma…