A systematic review of over 200 studies concludes that LLMs in recommender systems act as a double-edged sword, creating both opportunities and new risks for trustworthiness.
Open3DVQA: A benchmark for spatial reasoning with multimodal large language models in open space
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
MASER trains modality adapters on a shared VLM and routes questions via a learned MLP to the best adapter, reaching 51.3% oracle agreement on Open3D-VQA while using one adapter call per question.
citing papers explorer
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MASER: Modality-Adaptive Specialist Routing for Embodied 3D Spatial Intelligence
MASER trains modality adapters on a shared VLM and routes questions via a learned MLP to the best adapter, reaching 51.3% oracle agreement on Open3D-VQA while using one adapter call per question.