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 51–100 of 158 papers

TitleStatusHype
Word reuse and combination support efficient communication of emerging concepts—0
Few-Shot Task Learning through Inverse Generative Modeling—0
Human-Object Interaction Detection Collaborated with Large Relation-driven Diffusion Models—0
Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Experiments, and Challenges—0
SECURE: Semantics-aware Embodied Conversation under Unawareness for Lifelong Robot Learning—0
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 review—0
FastBO: Fast HPO and NAS with Adaptive Fidelity Identification—0
Assessing the Variety of a Concept Space Using an Unbiased Estimate of Rao's Quadratic Index—0
The Price of Cognition and Replicator Equations in Parallel Neural Networks—0
Flexible image analysis for law enforcement agencies with deep neural networks to determine: where, who and what—0
Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective—0
Beyond the Bid-Ask: Strategic Insights into Spread Prediction and the Global Mid-Price Phenomenon—0
Sketch-Plan-Generalize: Learning and Planning with Neuro-Symbolic Programmatic Representations for Inductive Spatial Concepts—0
Hyperbolic Learning with Synthetic Captions for Open-World Detection—0
Coherent Temporal Synthesis for Incremental Action Segmentation—0
BOWLL: A Deceptively Simple Open World Lifelong LearnerCode0
Theoretical and Empirical Analysis of Adaptive Entry Point Selection for Graph-based Approximate Nearest Neighbor Search—0
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition—0
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently—0
Interactive Visual Task Learning for Robots—0
Toward enriched Cognitive Learning with XAI—0
Weakly Supervised Open-Vocabulary Object Detection—0
Open-vocabulary object 6D pose estimation—0
Surprisal Driven k-NN for Robust and Interpretable Nonparametric Learning—0
A Robust, Efficient Predictive Safety FilterCode0
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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