3 accepted papers
A lack of demographic context in existing toxic speech datasets limits our understanding of how different age groups communicate online. In collaboration with funk, a German public service content network, this research introduces the first large-scale German dataset annotated for toxicity and enric
Deep learning-based trajectory prediction models have demonstrated promising capabilities in capturing complex interactions. However, their generalization beyond the available training data, limited in both size and diversity, remains a significant challenge. To improve generalization, we propose SH…
Autonomous agents often face the challenge of interpreting uncertain natural language instructions for planning tasks. Representing these instructions as Linear Temporal Logic (LTL) enables planners to synthesize actionable plans. We introduce CoT-TL, a data-efficient in-context learning framework f…