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
Influence zones for continuous beam systems—0
Integrated Planning of Multi-energy Grids: Concepts and Challenges—0
Interactive Visual Task Learning for Robots—0
Knowledge Transfer Across Modalities with Natural Language Supervision—0
Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Experiments, and Challenges—0
Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks—0
Learning to Learn with Compound HD Models—0
Less Data, More Knowledge: Building Next Generation Semantic Communication Networks—0
Linguistically Routing Capsule Network for Out-of-Distribution Visual Question Answering—0
Assessing the Variety of a Concept Space Using an Unbiased Estimate of Rao's Quadratic Index—0
25 years of criticality in neuroscience -- established results, open controversies, novel concepts—0
A Closer Look at Rehearsal-Free Continual Learning—0
Analogical Concept Memory for Architectures Implementing the Common Model of Cognition—0
A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting—0
A Survey on Energy Optimization Techniques in UAV-Based Cellular Networks: From Conventional to Machine Learning Approaches—0
Automating string processing in spreadsheets using input-output examples—0
Benchmarking the human brain against computational architectures—0
Beyond imitation: Zero-shot task transfer on robots by learning concepts as cognitive programs—0
Beyond the Bid-Ask: Strategic Insights into Spread Prediction and the Global Mid-Price Phenomenon—0
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning—0
Can Machines Design? An Artificial General Intelligence Approach—0
Characterizing an Analogical Concept Memory for Architectures Implementing the Common Model of Cognition—0
Characterizing the Influence of Features on Reading Difficulty Estimation for Non-native Readers—0
ChatAnything: Facetime Chat with LLM-Enhanced Personas—0
Coherent Temporal Synthesis for Incremental Action Segmentation—0
Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review—0
Contextual Blocking Bandits—0
Contrastive Visual Data Augmentation—0
CoSe-Co: Sentence Conditioned Generative CommonSense Contextualizer for Language Models—0
Decision Making Using Rough Set based Spanning Sets for a Decision System—0
Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models—0
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods—0
Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners—0
Dialog Policy Learning for Joint Clarification and Active Learning Queries—0
Direct and indirect transactions and requirements—0
Discovering Latent Concepts Learned in BERT—0
DreamArtist++: Controllable One-Shot Text-to-Image Generation via Positive-Negative Adapter—0
DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning—0
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition—0
Efficient Transmission of Radiomaps via Physics-Enhanced Semantic Communications—0
Enhancing Balanced Graph Edge Partition with Effective Local Search—0
Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective—0
Experiencing Urban Air Mobility: How Passengers evaluate a simulated flight with an Air Taxi—0
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently—0
Explaining deep neural network models for electricity price forecasting with XAI—0
Exploring internal representation of self-supervised networks: few-shot learning abilities and comparison with human semantics and recognition of objects—0
Open-Set Representation Learning through Combinatorial Embedding—0
Open-vocabulary object 6D pose estimation—0
Privacy-Enabled Biometric Search—0
Prototype Recalls for Continual Learning—0
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