Papers by Juan Wisznia
Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching (2025.acl-short)
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Juan Wisznia, Cecilia Bolaños, Juan Tollo, Giovanni Franco Gabriel Marraffini, Agustín Andrés Gianolini, Noe Fabian Hsueh, Luciano Del Corro
| Challenge: | a new framework for analyzing sorting algorithms in pairwise ranking prompting (PRP) is developed to re-center the cost model around LLM inferences rather than traditional pairwise comparisons. |
| Approach: | They propose a framework for analyzing sorting algorithms in pairwise ranking prompting (PRP) they propose to re-center the cost model around LLM inferences rather than traditional pairwise comparisons. |
| Outcome: | The proposed framework encourages strategies such as batching and caching to mitigate inference costs. |
The Greatest Good Benchmark: Measuring LLMs’ Alignment with Utilitarian Moral Dilemmas (2024.emnlp-main)
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| Challenge: | Our analysis across 15 diverse LLMs reveals consistently encoded moral preferences that diverge from established moral theories and lay population moral standards. |
| Approach: | They propose to evaluate the moral judgments of large language models using utilitarian dilemmas to determine their moral alignment. |
| Outcome: | The findings highlight the ‘artificial moral compass’ of Large Language Models, offering insights into their moral alignment. |