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Elisabetta Fersini

2 accepted papers

2026

EAGer: Entropy-Aware GEneRation for Adaptive Inference-Time Scaling

ICML 2026poster

With the rise of reasoning language models and test-time scaling methods as a paradigm for improving model performance, substantial computation is often required to generate multiple candidate sequences from the same prompt. This enables exploration of different reasoning paths toward the correct so…

Cited by 0SourceScholar
2024

Exploring Neural Topic Modeling on a Classical Latin Corpus

COLING 2024main

The large availability of processable textual resources for Classical Latin has made it possible to study Latin literature through methods and tools that support distant reading. This paper describes a number of experiments carried out to test the possibility of investigating the thematic distributi…