Cross-modal Representation Alignment
Explores when separately trained models learn compatible internal representations across modalities and how to align them efficiently with limited data.
4 papers
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Oct 2026 · Brown University, AMI Labs
AI models can align language and vision using 42-fold fewer samples
proves conditional result for predictive embedding models and reports 42-fold reduction in samples needed for alignment
1 further paper
Nov 2026 · Nankai University, Alibaba Token Hub, Alibaba Group
Voice chatbots can lose conversational abilities they demonstrate with text
Reveals text performance does not predict spoken performance in speech-language models, indicating cross-modal gaps.
Nov 2026 · KAIST AI, Google DeepMind
Composed image retrieval gets a boost from factorized MLLM embeddings
Introduces FactEmbed for composed image retrieval using factorized latents to separate query understanding from embedding learning, advancing cross-modal alignment.
3 of 4 papers shown