From Large Language Models to Small Logic Programs: Building Global Explanations from Disagreeing Local Post-hoc Explainers

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@article{skenlp-jaamas38,
   articleno = 32,
   author = {Agiollo, Andrea and Siebert, Luciano Cavalcante and Murukannaiah, Pradeep Kumar and Omicini, Andrea},
   dblp = {journals/aamas/AgiolloSMO24},
   doi = {10.1007/s10458-024-09663-8},
   iris = {11585/973894},
   journal = {Autonomous Agents and Multi-Agent Systems},
   keywords = {Natural language processing, post-hoc explanations, symbolic knowledge extraction, eXplainable AI, resource-friendly AI},
   month = jul,
   note = {Special Issue on Multi-Agent Systems and Explainable AI},
   numpages = 33,
   pages = {1--33},
   publisher = {Springer},
   scholar = {13114388339509722903},
   scopus = {2-s2.0-85197706028},
   title = {From Large Language Models to Small Logic Programs: Building Global Explanations from Disagreeing Local Post-hoc Explainers},
   url = {http://link.springer.com/10.1007/s10458-024-09663-8},
   urlopenaccess = {https://link.springer.com/content/pdf/10.1007/s10458-024-09663-8.pdf},
   urlpdf = {https://link.springer.com/content/pdf/10.1007/s10458-024-09663-8.pdf},
   volume = 38,
   wos = {WOS:001264787900001},
   year = 2024
}