A lightweight probing protocol that isolates cultural bias using parallel dialogue is introduced, finding that identical dialogues are rated significantly more appropriate and more engaged in German and Italian than in English, and that merely relabeling a dialogue’s culture can lower its rating by more than a point.
Nur Keleşoğlu· Companion Publication of the...· 1 citation
Large language models (LLMs) are increasingly used as high-level planners in robot navigation, but their outputs may become unreliable when instructions are ambiguous, unsupported by the environment, or semantically inconsistent. This paper presents a Risk-Aware Semantic Grounding framework for trustworthy LLM-based ro...
Łukasz Sobczak, Nur Keleşoğlu, S. Nowak· 0 citations
A context-aware, multi-agent framework that integrates textual queries, numerical data, visual representations, and model-derived signals for explainable time-series forecasting, which argues makes the approach a natural foundation for non-visual, accessible interaction of particular relevance to blind and visually imp...
Nur Keleşoğlu, Łukasz Sobczak, Joanna Domańska· 0 citations
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