Rule enforcement in LLMs: a parameter efficient fine-tuning approach with self-generated training dataset

   page       BibTeX_logo.png       attach   
@inproceedings{llmruleenforcement-aixhmi2024,
   apice = {LlmruleenforcementAixhmi2024},
   author = {Daniele Franch and Pierluigi Roberti and Enrico Blanzieri},
   booktitle = {AIxHMI 2024 -- 3rd Workshop on Artificial Intelligence for Human-Machine Interaction 2024},
   editor = {Aurora Saibene and Silvia Corchs and Simone Fontana and Jordi Solé-Casals},
   issn = {1613-0073},
   month = dec,
   series = {CEUR Workshop Proceedings},
   subseries = {AIxIA Series},
   title = {Rule enforcement in {LLMs}: a parameter efficient fine-tuning approach with self-generated training dataset},
   url = {https://ceur-ws.org/Vol-3903/},
   volume = 3903,
   year = 2024
}