SOTAVerified

Novel Concepts

Measures the ability of models to uncover an underlying concept that unites several ostensibly disparate entities, which hopefully would not co-occur frequently. This provides a limited test of a model's ability to creatively construct the necessary abstraction to make sense of a situation that it cannot have memorized in training.

Source: BIG-bench

Papers

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Showing 71–80 of 158 papers

TitleStatusHype
Interactive Visual Task Learning for Robots—0
Toward enriched Cognitive Learning with XAI—0
Weakly Supervised Open-Vocabulary Object Detection—0
Open-vocabulary object 6D pose estimation—0
Surprisal Driven k-NN for Robust and Interpretable Nonparametric Learning—0
A Robust, Efficient Predictive Safety Filter—0
ChatAnything: Facetime Chat with LLM-Enhanced Personas—0
Experiencing Urban Air Mobility: How Passengers evaluate a simulated flight with an Air Taxi—0
Continual Zero-Shot Learning through Semantically Guided Generative Random WalksCode0
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature SpaceCode0
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