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

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Showing 76–100 of 158 papers

TitleStatusHype
A Robust, Efficient Predictive Safety Filter—0
ChatAnything: Facetime Chat with LLM-Enhanced Personas—0
Experiencing Urban Air Mobility: How Passengers evaluate a simulated flight with an Air Taxi—0
Continual Zero-Shot Learning through Semantically Guided Generative Random WalksCode0
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature SpaceCode0
Subspace Distillation for Continual LearningCode0
Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure AbductionCode0
Benchmarking the human brain against computational architectures—0
DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning—0
Strategy Synthesis in Markov Decision Processes Under Limited Sampling Access—0
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant AnalysisCode0
Influence zones for continuous beam systems—0
Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models—0
Statistical QoS Provisioning Analysis and Performance Optimization in xURLLC-enabled Massive MU-MIMO Networks: A Stochastic Network Calculus Perspective—0
Integrated Planning of Multi-energy Grids: Concepts and Challenges—0
Less Data, More Knowledge: Building Next Generation Semantic Communication Networks—0
DreamArtist++: Controllable One-Shot Text-to-Image Generation via Positive-Negative Adapter—0
Analogical Concept Memory for Architectures Implementing the Common Model of Cognition—0
Memorizing Complementation Network for Few-Shot Class-Incremental Learning—0
Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners—0
Malware Detection and Prevention using Artificial Intelligence Techniques—0
Discovering Latent Concepts Learned in BERT—0
A Survey on Energy Optimization Techniques in UAV-Based Cellular Networks: From Conventional to Machine Learning Approaches—0
Reaction Network Analysis of Metabolic Insulin Signaling—0
Rockafellian Relaxation and Stochastic Optimization under Perturbations—0
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