7 citations · 12 across the 12 of their papers we have counts for
Showing 2025 · cs.CLShow all
3 papers · 2 filters
cs.CL2025
Toward Preference-aligned Large Language Models via Residual-based Model Steering
Lucio La Cava, Andrea Tagarelli
Preference alignment is a critical step in making Large Language Models (LLMs) useful and aligned with (human) preferences. Existing approaches such as Reinforcement Learning from…
cs.CL2025
Authorship Attribution in Multilingual Machine-Generated Texts
Lucio La Cava, Dominik Macko, Róbert Móro +2
As Large Language Models (LLMs) have reached human-like fluency and coherence, distinguishing machine-generated text (MGT) from human-written content becomes increasingly difficult…
cs.CL2025
OpenTuringBench: An Open-Model-based Benchmark and Framework for Machine-Generated Text Detection and Attribution
Lucio La Cava, Andrea Tagarelli
Open Large Language Models (OLLMs) are increasingly leveraged in generative AI applications, posing new challenges for detecting their outputs. We propose OpenTuringBench, a new be…