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

Showing 7180 of 158 papers

TitleStatusHype
Can Machines Design? An Artificial General Intelligence Approach0
Characterizing an Analogical Concept Memory for Architectures Implementing the Common Model of Cognition0
Characterizing the Influence of Features on Reading Difficulty Estimation for Non-native Readers0
ChatAnything: Facetime Chat with LLM-Enhanced Personas0
Coherent Temporal Synthesis for Incremental Action Segmentation0
Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review0
Contextual Blocking Bandits0
Contrastive Visual Data Augmentation0
CoSe-Co: Sentence Conditioned Generative CommonSense Contextualizer for Language Models0
Decision Making Using Rough Set based Spanning Sets for a Decision System0
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