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 5160 of 158 papers

TitleStatusHype
Word reuse and combination support efficient communication of emerging concepts0
Few-Shot Task Learning through Inverse Generative Modeling0
Human-Object Interaction Detection Collaborated with Large Relation-driven Diffusion Models0
Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Experiments, and Challenges0
SECURE: Semantics-aware Embodied Conversation under Unawareness for Lifelong Robot Learning0
Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning?Code0
Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review0
FastBO: Fast HPO and NAS with Adaptive Fidelity Identification0
Assessing the Variety of a Concept Space Using an Unbiased Estimate of Rao's Quadratic Index0
The Price of Cognition and Replicator Equations in Parallel Neural Networks0
Show:102550
← PrevPage 6 of 16Next →

No leaderboard results yet.