Glossary
Terms used in accessibility research and practice. Each entry has a definition, common aliases, and category tags.
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- MLLM(also: Multimodal LLM, Multimodal Large Language Model)
- A large language model extended to accept and reason over multiple input modalities — typically images and text, and sometimes audio or video — in addition to producing natural-language output. Examples include OpenAI's GPT-4o, Anthropic's Claude, and Google's Gemini. In…
- Model Cards(also: Model card)
- Short structured documents, proposed by Mitchell et al. (2019), that accompany a machine learning model and report its intended uses, performance across relevant demographic subgroups, training data, evaluation metrics, known limitations, and ethical considerations. Model cards…
- Multi-Modal LLM(also: Multimodal Large Language Model, MLLM, Vision-Language Model)
- A large language model that can process and reason over more than one type of input modality, typically text combined with images, audio, or video. In accessibility research, multi-modal LLMs such as GPT-4o, CLIP, and BLIP-2 are increasingly used to analyse screenshots of web…
- Music GenAI(also: Generative Music AI, AI Music Generation)
- Generative AI systems that produce musical output — melodies, full songs, instrumental accompaniment, or vocal tracks — from text prompts, seed audio, or structured parameters. Examples include Suno, Udio, MusicLM, and MusicGen. In accessibility and therapy contexts, music GenAI…
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