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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 5201–5250 of 9051 papers

TitleStatusHype
Lifelong Learning with Weighted Majority Votes—0
Light and 3D: a methodological exploration of digitisation techniques adapted to a selection of objects from the Musée d'Archéologie Nationale—0
When and How Does CLIP Enable Domain and Compositional Generalization?—0
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks—0
Lightweight Monocular Depth with a Novel Neural Architecture Search Method—0
A Vision for Operationalising Diversity and Inclusion in AI—0
"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students using Large Language Models—0
AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses—0
A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability—0
LIMBA: An Open-Source Framework for the Preservation and Valorization of Low-Resource Languages using Generative Models—0
Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations—0
A Critical Reexamination of Intra-List Distance and Dispersion—0
Speed and fate diversity tradeoff in nematode's early embryogenesis—0
Towards Open Domain Text-Driven Synthesis of Multi-Person Motions—0
Linear Precoding Design for OTFS Systems in Time/Frequency Selective Fading Channels—0
Linear Relaxations for Finding Diverse Elements in Metric Spaces—0
Line of Sight: On Linear Representations in VLLMs—0
Line Segmentation from Unconstrained Handwritten Text Images using Adaptive Approach—0
LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity—0
Lingua Manga: A Generic Large Language Model Centric System for Data Curation—0
Linguistic Complexity Loss in Text-Based Therapy—0
Linguistic Diversity Scores for NLP Data Sets—0
Linguistic features for Hindi light verb construction identification—0
Linguistic features for sentence difficulty prediction in ABSA—0
Linguistic Fingerprint in Transformer Models: How Language Variation Influences Parameter Selection in Irony Detection—0
Lingxi: A Diversity-aware Chinese Modern Poetry Generation System—0
Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data—0
Towards Powerful Graph Neural Networks: Diversity Matters—0
Data standardization for robust lip sync—0
Auxiliary Class Based Multiple Choice Learning—0
Liquid Crystal-Based RIS for VLC Transmitters: Performance Analysis, Challenges, and Opportunities—0
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search—0
LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMs—0
LiveChat: Video Comment Generation from Audio-Visual Multimodal Contexts—0
LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering—0
LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces—0
Towards Precision Characterization of Communication Disorders using Models of Perceived Pragmatic Similarity—0
AU-vMAE: Knowledge-Guide Action Units Detection via Video Masked Autoencoder—0
Towards Precision in Bolted Joint Design: A Preliminary Machine Learning-Based Parameter Prediction—0
LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion—0
LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations—0
LLMs and Finetuning: Benchmarking cross-domain performance for hate speech detection—0
Towards Pre-training an Effective Respiratory Audio Foundation Model—0
LLMs grasp morality in concept—0
LLMs Prompted for Graphs: Hallucinations and Generative Capabilities—0
LLMs Lost in Translation: M-ALERT uncovers Cross-Linguistic Safety Gaps—0
LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models—0
Towards Pretraining Robust ASR Foundation Model with Acoustic-Aware Data Augmentation—0
AutoRNet: Automatically Optimizing Heuristics for Robust Network Design via Large Language Models—0
LMDM:Latent Molecular Diffusion Model For 3D Molecule Generation—0
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