Author

Nur Keleşoğlu

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Book Open access Oct 2026

Judging Turn-Taking Through a Monocultural Lens: A Parallel-Corpus Probe of Cultural Bias in LLMs

Turn-taking and backchanneling are governed by culture-specific display rules: the same listener behavior that signals attentive engagement in one language community can read as interruption or disengagement in another. As large language models (LLMs), often accessed as multimodal systems, are increasingly deployed as...

Nur Keleşoğlu · Companion Publication of the... · 1 citation

#artificial intelligence Preprint Sep 2026

Risk-Aware Semantic Grounding for Trustworthy LLM-Based Robot Planning

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

#large language models Preprint Jul 2026

From Plots to Words: Model-Aware Multimodal Explanations as a Foundation for Accessible, Non-Visual Interaction

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