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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 3351–3400 of 9051 papers

TitleStatusHype
Few-shot Personalization of LLMs with Mis-aligned ResponsesCode0
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models—0
Artificial Immune System of Secure Face Recognition Against Adversarial AttacksCode0
ACD-DE: An adaptive cluster division Differential Evolution for mitigating population diversity deficiencyCode0
Leveraging Synthetic Audio Data for End-to-End Low-Resource Speech Translation—0
From Distributional to Overton Pluralism: Investigating Large Language Model AlignmentCode0
Enhancing LLM-Based Human-Robot Interaction with Nuances for Diversity Awareness—0
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation PerspectiveCode0
Application of Liquid Rank Reputation System for Twitter Trend Analysis on Bitcoin—0
Native Design Bias: Studying the Impact of English Nativeness on Language Model PerformanceCode0
Automated Adversarial Discovery for Safety Classifiers—0
tcrLM: a lightweight protein language model for predicting T cell receptor and epitope binding specificityCode0
The unpaved road towards efficient selective breeding in insects for food and feed—0
Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration—0
Enhancing Scientific Figure Captioning Through Cross-modal Learning—0
Repulsive Latent Score Distillation for Solving Inverse ProblemsCode0
Towards Comprehensive Preference Data Collection for Reward Modeling—0
Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text DetectionCode0
Pose-dIVE: Pose-Diversified Augmentation with Diffusion Model for Person Re-Identification—0
Learning k-Determinantal Point Processes for Personalized Ranking—0
Meta-FL: A Novel Meta-Learning Framework for Optimizing Heterogeneous Model Aggregation in Federated Learning—0
video-SALMONN: Speech-Enhanced Audio-Visual Large Language ModelsCode0
Evaluating Diversity in Automatic Poetry GenerationCode0
PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data—0
Unseen Object Reasoning with Shared Appearance CuesCode0
DEM: Distribution Edited Model for Training with Mixed Data Distributions—0
Complexity of Symbolic Representation in Working Memory of Transformer Correlates with the Complexity of a Task—0
Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation—0
Benchmarking Monocular 3D Dog Pose Estimation Using In-The-Wild Motion Capture Data—0
SciDMT: A Large-Scale Corpus for Detecting Scientific Mentions—0
A Resource-Adaptive Approach for Federated Learning under Resource-Constrained Environments—0
Open Generative Large Language Models for Galician—0
Analyzing Diversity in Healthcare LLM Research: A Scientometric Perspective—0
Data Collection and Labeling Techniques for Machine Learning—0
Large Language Model as a Universal Clinical Multi-task Decoder—0
LOOC: Localizing Organs using Occupancy Networks and Body Surface Depth Images—0
Insect Identification in the Wild: The AMI DatasetCode0
TourLLM: Enhancing LLMs with Tourism KnowledgeCode0
Nash CoT: Multi-Path Inference with Preference EquilibriumCode0
LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations—0
Top-Down Bayesian Posterior Sampling for Sum-Product Networks—0
HARE: HumAn pRiors, a key to small language model Efficiency—0
Fast uncovering of protein sequence diversity from structure—0
Ruby Teaming: Improving Quality Diversity Search with Memory for Automated Red Teaming—0
When Box Meets Graph Neural Network in Tag-aware RecommendationCode0
Enhancing and Assessing Instruction-Following with Fine-Grained Instruction Variants—0
Self-Distillation Prototypes Network: Learning Robust Speaker Representations without Supervision—0
Problematic Tokens: Tokenizer Bias in Large Language ModelsCode0
GameVibe: A Multimodal Affective Game Corpus—0
Decomposed evaluations of geographic disparities in text-to-image models—0
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