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Zhejiang University of Technology
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Stop relying on LLMs to "hallucinate" reasoning paths – SEARCH-R uses a fine-tuned Llama3.1-8B model and dependency tree-based retrieval to navigate multi-hop question answering more reliably.
LLMs can generate better features from tabular data when deployed as a multi-agent system with explicit memory of past procedures, feedback, and concepts.
Achieve an 8x speedup in chest X-ray report generation without sacrificing clinical accuracy by distilling multi-step diffusion into a single, efficient step.
Forget independent feature extraction: a new architecture uses LVLMs to explicitly model the relationships between drone and satellite imagery, substantially boosting geolocalization accuracy.
Imagine designing custom fonts simply by describing them or providing a reference image – VecGlypher makes it a reality by directly generating editable vector glyphs with a single multimodal language model.
