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 8190 of 158 papers

TitleStatusHype
Integrated Planning of Multi-energy Grids: Concepts and Challenges0
Interactive Visual Task Learning for Robots0
CoSe-Co: Sentence Conditioned Generative CommonSense Contextualizer for Language Models0
The Price of Cognition and Replicator Equations in Parallel Neural Networks0
Knowledge Transfer Across Modalities with Natural Language Supervision0
Tinkering Under the Hood: Interactive Zero-Shot Learning with Net Surgery0
Contrastive Visual Data Augmentation0
Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Experiments, and Challenges0
Contextual Blocking Bandits0
Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review0
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