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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 101–125 of 9051 papers

TitleStatusHype
When can in-context learning generalize out of task distribution?—0
AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization—0
Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning—0
Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards?—0
PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation—0
SPARTA ALIGNMENT: Collectively Aligning Multiple Language Models through Combat—0
DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models—0
Kernel k-Medoids as General Vector Quantization—0
Counterfactual reasoning: an analysis of in-context emergenceCode0
Light and 3D: a methodological exploration of digitisation techniques adapted to a selection of objects from the Musée d'Archéologie Nationale—0
Line of Sight: On Linear Representations in VLLMs—0
Subjective Perspectives within Learned Representations Predict High-Impact Innovation—0
Generalized Lotka-Volterra systems with quenched random interactions and saturating functional response—0
The Determinants of Net Interest Margin in the Turkish Banking Sector: Does Bank Ownership Matter?—0
Multiscale guidance of AlphaFold3 with heterogeneous cryo-EM data—0
Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning—0
A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions—0
Effects of Speaker Count, Duration, and Accent Diversity on Zero-Shot Accent Robustness in Low-Resource ASR—0
Facts are Harder Than Opinions -- A Multilingual, Comparative Analysis of LLM-Based Fact-Checking Reliability—0
ByteMorph: Benchmarking Instruction-Guided Image Editing with Non-Rigid MotionsCode1
Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs—0
GAdaBoost: An Efficient and Robust AdaBoost Algorithm Based on Granular-Ball Structure—0
On the Performance of Pinching-Antenna Systems (PASS) with Orthogonal and Non-Orthogonal Multiple Access—0
Cross-Lingual Transfer of Cultural Knowledge: An Asymmetric Phenomenon—0
An Empirical Study of Group Conformity in Multi-Agent Systems—0
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