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 3140 of 158 papers

TitleStatusHype
Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective0
Beyond the Bid-Ask: Strategic Insights into Spread Prediction and the Global Mid-Price Phenomenon0
Sketch-Plan-Generalize: Learning and Planning with Neuro-Symbolic Programmatic Representations for Inductive Spatial Concepts0
Hyperbolic Learning with Synthetic Captions for Open-World Detection0
Is CLIP the main roadblock for fine-grained open-world perception?Code2
Attention Calibration for Disentangled Text-to-Image PersonalizationCode2
Coherent Temporal Synthesis for Incremental Action Segmentation0
A Language Model's Guide Through Latent SpaceCode1
Theoretical and Empirical Analysis of Adaptive Entry Point Selection for Graph-based Approximate Nearest Neighbor Search0
BOWLL: A Deceptively Simple Open World Lifelong LearnerCode0
Show:102550
← PrevPage 4 of 16Next →

No leaderboard results yet.