Els Lefever

Counter-Hypothesis Generation: Towards Evaluating How LLMs Reason about Alternatives

Reasoning about alternatives is a fundamental component of human cognition and argumentation, yet it remains unclear whether large language models (LLMs) can coherently generate and assess them. This paper introduces Counter-Hypothesis Generation (CHG), a novel task for evaluating how LLMs construct plausible hypothese...

LoveHate: Stance Detection and Generation for Multiple Topics in User-generated Comments in Russian and English

This paper introduces LoveHate, a new multi-topic corpus of user-generated arguments in Russian, collected from the historical data of the debate platform lovehate.ru. The dataset contains nearly 19,000 posts spanning 16 socially and politically relevant topics, each mapped to binary pro and con stances. We test multip...

Towards Reliable Evaluation of Emotional Text Generation in LLMs: Human vs. Automatic Metrics