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 26–50 of 158 papers

TitleStatusHype
Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster MemoryCode1
Link-Context Learning for Multimodal LLMsCode1
Towards Open-Ended Visual Recognition with Large Language ModelCode1
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained ModelsCode1
PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem EquilibriumCode1
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference TimeCode1
Grounding Descriptions in Images informs Zero-Shot Visual RecognitionCode1
Learning Instance and Task-Aware Dynamic Kernels for Few Shot LearningCode1
Few-Shot Class-Incremental Learning via Class-Aware Bilateral DistillationCode1
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object InteractionsCode1
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot LearningCode1
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and ReasoningCode1
Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure AbductionCode0
Variational Prototype Replays for Continual LearningCode0
Neural Concept Formation in Knowledge GraphsCode0
Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning?Code0
Multi-level Semantic Feature Augmentation for One-shot LearningCode0
NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional GeneralizationCode0
Knowledge Graph Transfer Network for Few-Shot RecognitionCode0
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature SpaceCode0
A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classificationCode0
BOWLL: A Deceptively Simple Open World Lifelong LearnerCode0
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of ImagesCode0
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training DataCode0
Decoupled Novel Object CaptionerCode0
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