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 51–75 of 158 papers

TitleStatusHype
Surprisal Driven k-NN for Robust and Interpretable Nonparametric Learning—0
A Robust, Efficient Predictive Safety FilterCode0
Towards Open-Ended Visual Recognition with Large Language ModelCode1
ChatAnything: Facetime Chat with LLM-Enhanced Personas—0
Experiencing Urban Air Mobility: How Passengers evaluate a simulated flight with an Air Taxi—0
OV-VG: A Benchmark for Open-Vocabulary Visual GroundingCode1
Continual Zero-Shot Learning through Semantically Guided Generative Random WalksCode0
Link-Context Learning for Multimodal LLMsCode1
CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent MaskingCode1
Subspace Distillation for Continual LearningCode0
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature SpaceCode0
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
Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class DiscoveryCode1
IFSeg: Image-free Semantic Segmentation via Vision-Language ModelCode1
Strategy Synthesis in Markov Decision Processes Under Limited Sampling Access—0
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant AnalysisCode0
LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object DetectionCode1
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
Few-Shot Class-Incremental Learning via Class-Aware Bilateral DistillationCode1
Less Data, More Knowledge: Building Next Generation Semantic Communication Networks—0
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