TL;DR
Results indicate that using narrowly focused datasets specific to each brand is more effective than combining data from multiple brands with mixed personalities, and suggest that VLMs have the potential to support content creators by reducing manual effort, enhancing linguistic nuance, and maintaining brand identity in social media campaigns.
In recent years, text-to-image (T2I) generation models have made substantial progress, particularly in visual realism and the expression of prompt semantics. However, a key difficulty remains: how to evaluate generated results automatically in a way that is both comprehensive and interpretable, while still being practi...
GenAI and LLMs have the potential to enhance the affective intensity of communication without necessarily compromising its informational quality, however, as human communication becomes increasingly and inevitably AI-mediated, current LLMs may shift the affective register, narrow the emotional spectrum, and introduce t...
Video-language benchmarks are usually constructed by the dataset authors without published reliability statistics, leaving the noise floor of the construct unknown. We argue that multimodal benchmarking benefits from methods taken from research communities that have already invested in strategies to ensure reliability....
Natural language processing (NLP) has progressed from narrow, task-specific statistical models to large language models (LLMs) capable of generating fluent, contextually coherent text across virtually unlimited domains, a transition that has reshaped three previously distinct application areas simultaneously: education...
PoVisLE is introduced, a monocultural vision-language benchmark for Polish designed to evaluate culturally grounded multimodal understanding under a grounded evaluation paradigm, where language is interpreted in interaction with visual context.
Although text-to-image models can accurately depict subjects and scenes, creators still struggle to specify the fine-grained emotions an image should convey without rewriting its content description. Natural language can suggest emotions, but it offers no control scale with stable meanings and ordered intensities. We p...
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