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 1120 of 158 papers

TitleStatusHype
NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional GeneralizationCode0
PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem EquilibriumCode1
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence0
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning0
Grounding Descriptions in Images informs Zero-Shot Visual RecognitionCode1
Knowledge Transfer Across Modalities with Natural Language Supervision0
Word reuse and combination support efficient communication of emerging concepts0
Few-Shot Task Learning through Inverse Generative Modeling0
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained ModelsCode1
Human-Object Interaction Detection Collaborated with Large Relation-driven Diffusion Models0
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