20 citations · 26 across the 6 of their papers we have counts for
4 papers · 1 filter
Lower-Resource, Higher Scores: Language Bias in LLM Evaluators
Ej Zhou, Lucas Resck, Zheng Hui +1
LLM evaluators (trained reward models and prompted LLM-as-a-Judge) are routinely validated via pairwise accuracy. In a multilingual setting, this operates under the premise that hi…
Mitigating Cross-Lingual Cultural Inconsistencies in LLMs via Consensus-Driven Preference Optimisation
Lucas Resck, Isabelle Augenstein, Anna Korhonen
Multilingual large language models (MLLMs) often answer culturally ambiguous questions inconsistently across languages, even for a fixed user persona -- e.g., Shakespeare in Englis…
Empirical analysis of binding precedent efficiency in Brazilian Supreme Court via case classification
Raphaël Tinarrage, Henrique Ennes, Lucas Resck +3
Binding precedents (súmulas vinculantes) constitute a juridical instrument unique to the Brazilian legal system and whose objectives include the protection of the Federal Supreme C…
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
Lucas E. Resck, Marcos M. Raimundo, Jorge Poco
Saliency post-hoc explainability methods are important tools for understanding increasingly complex NLP models. While these methods can reflect the model's reasoning, they may not…