hierarchical models - Robuta Search

https://openreview.net/forum?id=0myKAuHN3M&referrer=%5Bthe%20profile%20of%20Vinija%20Jain%5D(%2Fprofile%3Fid%3D~Vinija_Jain1)

Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models Aligned...

Assessing the effectiveness of large language models (LLMs) in performing different tasks is crucial for understanding their strengths and weaknesses. This...

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https://www.cambridge.org/highereducation/books/data-analysis-using-regression-and-multilevel-hierarchical-models/32A29531C7FD730C3A68951A17C9D983

Data Analysis Using Regression and Multilevel/Hierarchical Models | Cambridge Aspire website

Discover Data Analysis Using Regression and Multilevel/Hierarchical Models, 1st Edition, Andrew Gelman, HB ISBN: 9780521867061 on Cambridge Aspire website

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https://openreview.net/forum?id=wTm4W39GdD&referrer=%5Bthe%20profile%20of%20Bo%20Zhao%5D(%2Fprofile%3Fid%3D~Bo_Zhao6)

Emergence of Hierarchical Emotion Representations in Large Language Models | OpenReview

As large language models (LLMs) increasingly power emotionally engaging conversational agents, understanding how they represent, predict, and potentially...

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https://www.usgs.gov/publications/fishstan-hierarchical-bayesian-models-fisheries

FishStan: Hierarchical Bayesian models for fisheries | U.S. Geological Survey

Fisheries managers and ecologists use statistical models to estimate population-level relations and demographic rates (e.g., length-maturity curves, growth...

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https://www.arxiv.org/abs/1911.08791

[1911.08791] Bayesian Hierarchical Models for the Prediction of Volleyball Results

Abstract page for arXiv paper 1911.08791: Bayesian Hierarchical Models for the Prediction of Volleyball Results

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https://huggingface.co/papers/2406.01506

Paper page - The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Join the discussion on this paper page

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https://deepai.org/publication/sparse-parallel-training-of-hierarchical-dirichlet-process-topic-models

Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models | DeepAI

06/06/19 - Nonparametric extensions of topic models such as Latent Dirichlet Allocation, including Hierarchical Dirichlet Process (HDP), are ...

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https://pubmed.ncbi.nlm.nih.gov/41474730/

A Multimodal Drug-Target Affinity Prediction Framework with Pretrained Models and Hierarchical...

Drug-target affinity (DTA) prediction is crucial in drug discovery. It enables researchers to elucidate the complex interaction mechanisms between candidate...

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