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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 2851–2875 of 9051 papers

TitleStatusHype
Randomness Is All You Need: Semantic Traversal of Problem-Solution Spaces with Large Language ModelsCode0
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language ModelsCode7
QGFN: Controllable Greediness with Action ValuesCode1
AlphaFold Meets Flow Matching for Generating Protein EnsemblesCode4
Learning Diverse Policies with Soft Self-Generated Guidance—0
Conversational Assistants in Knowledge-Intensive Contexts: An Evaluation of LLM- versus Intent-based Systems—0
Advancing Video Anomaly Detection: A Concise Review and a New Dataset—0
Multimodal Query Suggestion with Multi-Agent Reinforcement Learning from Human Feedback—0
Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge DistillationCode0
On Provable Length and Compositional GeneralizationCode0
SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language ModelsCode2
On Practical Diversified Recommendation with Controllable Category Diversity FrameworkCode0
Learning immune receptor representations with protein language models—0
AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based PoliciesCode2
What is "Typological Diversity" in NLP?Code0
INSIDE: LLMs' Internal States Retain the Power of Hallucination DetectionCode1
Controllable Diverse Sampling for Diffusion Based Motion Behavior Forecasting—0
Partially Recentralization Softmax Loss for Vision-Language Models Robustness—0
Improved Generalization of Weight Space Networks via AugmentationsCode0
Embedding Large Language Models into Extended Reality: Opportunities and Challenges for Inclusion, Engagement, and Privacy—0
SISP: A Benchmark Dataset for Fine-grained Ship Instance Segmentation in Panchromatic Satellite ImagesCode1
Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing—0
Avoiding an AI-imposed Taylor's Version of all music history—0
LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System—0
Linguistic features for sentence difficulty prediction in ABSA—0
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