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Diversity

Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.

Papers

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Showing 1076–1100 of 9051 papers

TitleStatusHype
U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMsCode1
Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-TuningCode0
Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models—0
LDPC-Coded Molecular Communications with Increased Diversity—0
User-Movement-Robust Virtual Reality Through Dual-Beam Reception in mmWave Networks—0
Few-Shot Learning with Adaptive Weight Masking in Conditional GANs—0
Communicate or Sense? AP Mode Selection in mmWave Cell-Free Massive MIMO-ISAC—0
Construction and optimization of health behavior prediction model for the elderly in smart elderly care—0
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution—0
Towards Rich Emotions in 3D Avatars: A Text-to-3D Avatar Generation BenchmarkCode1
Sample Efficient Robot Learning in Supervised Effect Prediction Tasks—0
CADMR: Cross-Attention and Disentangled Learning for Multimodal Recommender Systems—0
Stochastic modeling of cyclic cancer treatments under common noise—0
Divergent Ensemble Networks: Enhancing Uncertainty Estimation with Shared Representations and Independent BranchingCode0
A new flower pollination algorithm for equalization in synchronous DS/CDMA multiuser communication systems—0
Rectified Flow For Structure Based Drug Design—0
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation—0
Long Video Diffusion Generation with Segmented Cross-Attention and Content-Rich Video Data Curation—0
Semantic Scene Completion with Multi-Feature Data Balancing Network—0
InfinityDrive: Breaking Time Limits in Driving World Models—0
SEAL: Semantic Attention Learning for Long Video Representation—0
CAPA: Continuous-Aperture Arrays for Revolutionizing 6G Wireless Communications—0
Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting—0
DPE-Net: Dual-Parallel Encoder Based Network for Semantic Segmentation of Polyps—0
Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research—0
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