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 4150 of 158 papers

TitleStatusHype
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition0
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently0
Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster MemoryCode1
Interactive Visual Task Learning for Robots0
Weakly Supervised Open-Vocabulary Object Detection0
Toward enriched Cognitive Learning with XAI0
Language-Informed Visual Concept LearningCode1
SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary ConstraintsCode2
Open-vocabulary object 6D pose estimation0
DreamCreature: Crafting Photorealistic Virtual Creatures from ImaginationCode1
Show:102550
← PrevPage 5 of 16Next →

No leaderboard results yet.