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Alessio Buscemi

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.CY1
  • cs.SE1
ORCID 0000-0003-2762-4123

identity via Semantic Scholar / OpenAlex

most citedA Comparative Study of Code Generation using ChatGPT 3.5 across 10 Programming Languages

19 citations · 35 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CY2024

RogueGPT: dis-ethical tuning transforms ChatGPT4 into a Rogue AI in 158 Words

Alessio Buscemi, Daniele Proverbio

The ethical implications and potentials for misuse of Generative Artificial Intelligence are increasingly worrying topics. This paper explores how easily the default ethical guardr…

cs.CL2024★ 16 cited

ChatGPT vs Gemini vs LLaMA on Multilingual Sentiment Analysis

Alessio Buscemi, Daniele Proverbio

Automated sentiment analysis using Large Language Model (LLM)-based models like ChatGPT, Gemini or LLaMA2 is becoming widespread, both in academic research and in industrial applic…

cs.SE2023★ 19 cited

A Comparative Study of Code Generation using ChatGPT 3.5 across 10 Programming Languages

Alessio Buscemi

Large Language Models (LLMs) are advanced Artificial Intelligence (AI) systems that have undergone extensive training using large datasets in order to understand and produce langua…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.