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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 2401–2450 of 9051 papers

TitleStatusHype
KVP10k : A Comprehensive Dataset for Key-Value Pair Extraction in Business DocumentsCode1
Modeling Caption Diversity in Contrastive Vision-Language PretrainingCode1
Why does Knowledge Distillation Work? Rethink its Attention and Fidelity MechanismCode0
Flight Trajectory Prediction Using an Enhanced CNN-LSTM Network—0
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design—0
Advancing low-field MRI with a universal denoising imaging transformer: Towards fast and high-quality imagingCode0
Soft Prompt Generation for Domain GeneralizationCode1
DELINE8K: A Synthetic Data Pipeline for the Semantic Segmentation of Historical DocumentsCode0
PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios—0
Coupling in situ and remote sensing data to assess α- and β-diversity over biogeographic gradients—0
Diversity in the radiation-induced transcriptomic temporal response of mouse brain tissue regions—0
Integrating Present and Past in Unsupervised Continual LearningCode0
Large Language Models as Conversational Movie Recommenders: A User Study—0
Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation—0
Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving ScenesCode0
Empowering Large Language Models for Textual Data Augmentation—0
Prompting Towards Alleviating Code-Switched Data Scarcity in Under-Resourced Languages with GPT as a Pivot—0
A Comprehensive Evaluation on Event Reasoning of Large Language ModelsCode0
SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes—0
Conceptual Mapping of Controversies—0
WheelPose: Data Synthesis Techniques to Improve Pose Estimation Performance on Wheelchair UsersCode0
Grad Queue : A probabilistic framework to reinforce sparse gradients—0
Synthesizing Audio from Silent Video using Sequence to Sequence ModelingCode0
DE-CGAN: Boosting rTMS Treatment Prediction with Diversity Enhancing Conditional Generative Adversarial Networks—0
ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity PreservingCode5
Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models—0
IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic LanguagesCode2
Improving Diversity of Commonsense Generation by Large Language Models via In-Context LearningCode0
Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samples—0
Embracing Diversity: Interpretable Zero-shot classification beyond one vector per class—0
Multimodal Semantic-Aware Automatic Colorization with Diffusion Prior—0
CompilerDream: Learning a Compiler World Model for General Code OptimizationCode1
The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language ModelsCode2
Domain-Specific Improvement on Psychotherapy Chatbot Using Assistant—0
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code—0
Annotator-Centric Active Learning for Subjective NLP TasksCode0
Beyond ESM2: Graph-Enhanced Protein Sequence Modeling with Efficient Clustering—0
Large Language Models as In-context AI Generators for Quality-Diversity—0
Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition—0
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model—0
Pattern-Aware Chain-of-Thought Prompting in Large Language Models—0
UniMERNet: A Universal Network for Real-World Mathematical Expression RecognitionCode3
Taming Diffusion Probabilistic Models for Character ControlCode3
Qualitative Approaches to Voice UX—0
Semantic Cells: Evolutional Process to Acquire Sense Diversity of Items—0
WangLab at MEDIQA-CORR 2024: Optimized LLM-based Programs for Medical Error Detection and Correction—0
Towards Multi-Morphology Controllers with Diversity and Knowledge DistillationCode0
Tree of Reviews: A Tree-based Dynamic Iterative Retrieval Framework for Multi-hop Question Answering—0
Fidelitous Augmentation of Human Accelerometric Data for Deep Learning—0
Better Synthetic Data by Retrieving and Transforming Existing DatasetsCode7
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