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cs.CL2026
LLM and Human Modes of Representation
Shalom Lappin
Much work on the cognitive foundations of AI has focussed on comparisons between the ways in which Large Language Models (LLMs) and humans process information and represent it. One…
cs.CL2026
Humans vs Vision-Language Models: A Unified Measure of Narrative Coherence
Nikolai Ilinykh, Hyewon Jang, Shalom Lappin +2
We study narrative coherence in visually grounded stories by comparing human-written narratives with those generated by vision-language models (VLMs) on the Visual Writing Prompts…
cs.CL2025
Coreference as an indicator of context scope in multimodal narrative
Nikolai Ilinykh, Shalom Lappin, Asad Sayeed +1
We demonstrate that large multimodal language models differ substantially from humans in the distribution of coreferential expressions in a visual storytelling task. We introduce a…