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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 276–300 of 9051 papers

TitleStatusHype
DRA-GRPO: Exploring Diversity-Aware Reward Adjustment for R1-Zero-Like Training of Large Language ModelsCode1
TopoDiT-3D: Topology-Aware Diffusion Transformer with Bottleneck Structure for 3D Point Cloud GenerationCode1
A Comprehensive Analysis of Large Language Model Outputs: Similarity, Diversity, and Bias—0
MrTrack: Register Mamba for Needle Tracking with Rapid Reciprocating Motion during Ultrasound-Guided Aspiration Biopsy—0
Closed-Form Information Capacity of Canonical Signaling ModelsCode0
SaFARi: State-Space Models for Frame-Agnostic Representation—0
Building-Block Aware Generative Modeling for 3D Crystals of Metal Organic Frameworks—0
A Practical Introduction to Deep Reinforcement Learning—0
ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term TrackingCode1
STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives—0
A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court—0
Revolutionising Bacterial Genomics: Graph-Based Strategies for Improved Variant Identification—0
A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao—0
QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines—0
Synthesizing Diverse Network Flow Datasets with Scalable Dynamic Multigraph Generation—0
Human Motion Prediction via Test-domain-aware Adaptation with Easily-available Human Motions Estimated from Videos—0
FLUXSynID: A Framework for Identity-Controlled Synthetic Face Generation with Document and Live ImagesCode1
Towards Multi-Agent Reasoning Systems for Collaborative Expertise Delegation: An Exploratory Design Study—0
Rigorous Evaluation of Predictive Toxicity Models by Multi-Objective Optimization of Reference Compound Lists Using Genetic Algorithms—0
DialogueReason: Rule-Based RL Sparks Dialogue Reasoning in LLMs—0
Enhancing BERTopic with Intermediate Layer RepresentationsCode0
Bi-level Mean Field: Dynamic Grouping for Large-Scale MARL—0
Efficient Fairness Testing in Large Language Models: Prioritizing Metamorphic Relations for Bias Detection—0
Can Prompting LLMs Unlock Hate Speech Detection across Languages? A Zero-shot and Few-shot Study—0
Turbo-ICL: In-Context Learning-Based Turbo Equalization—0
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