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Found 4 papers, 2 papers with code
Interrogating LLM design under a fair learning doctrine
The current discourse on large language models (LLMs) and copyright largely takes a "behavioral" perspective, focusing on model outputs and evaluating whether they are substantially similar to training data.
Towards Foundation Models for 3D Vision: How Close Are We?
Building a foundation model for 3D vision is a complex challenge that remains unsolved.
Post-hoc Concept Bottleneck Models
When concept annotations are not available on the training data, we show that PCBM can transfer concepts from other datasets or from natural language descriptions of concepts via multimodal models.
FlowDB a large scale precipitation, river, and flash flood dataset
We introduce a novel hourly river flow and precipitation dataset and a second subset of flash flood events with damage estimates and injury counts.
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