SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1976–2000 of 9051 papers

TitleStatusHype
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems—0
Dimensionality reduction for k-means clustering of large-scale influenza mutation datasets—0
What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices—0
CHARMS: A Cognitive Hierarchical Agent for Reasoning and Motion Stylization in Autonomous DrivingCode0
Engineering Artificial Intelligence: Framework, Challenges, and Future Direction—0
BOOST: Bootstrapping Strategy-Driven Reasoning Programs for Program-Guided Fact-Checking—0
Study of scaling laws in language families—0
Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-DiversityCode0
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding—0
STAR-1: Safer Alignment of Reasoning LLMs with 1K Data—0
Attention in Diffusion Model: A Survey—0
Zero-Shot 4D Lidar Panoptic Segmentation—0
Crossing Boundaries: Leveraging Semantic Divergences to Explore Cultural Novelty in Cooking RecipesCode0
Rubrik's Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset—0
MuseFace: Text-driven Face Editing via Diffusion-based Mask Generation Approach—0
Intrinsically-Motivated Humans and Agents in Open-World ExplorationCode0
Beyond a Single Mode: GAN Ensembles for Diverse Medical Data GenerationCode0
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly DetectionCode0
Multi-Agent Reinforcement Learning for Graph Discovery in D2D-Enabled Federated Learning—0
MHTS: Multi-Hop Tree Structure Framework for Generating Difficulty-Controllable QA Datasets for RAG Evaluation—0
AutoComPose: Automatic Generation of Pose Transition Descriptions for Composed Pose Retrieval Using Multimodal LLMs—0
Composite Indicator-Guided Infilling Sampling for Expensive Multi-Objective Optimization—0
Multi-Target Acquisition in Multistatic MIMO-OFDM Joint Sensing and Communication—0
ArchCAD-400K: An Open Large-Scale Architectural CAD Dataset and New Baseline for Panoptic Symbol Spotting—0
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback—0
Show:102550
← PrevPage 80 of 363Next →

No leaderboard results yet.