Model: noystl/recomb-pred-e5-large
Author: noystl
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:784827, loss:ContrastiveLoss, en, dataset:noystl/Recombination-Pred, arxiv:2505.20779, arxiv:1908.10084, base_model:intfloat/e5-large-v2, base_model:finetune:intfloat/e5-large-v2, license:cc, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: intfloat/e5-large-v2
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:784827, loss:ContrastiveLoss
base_model: intfloat/e5-large-v2
widget: source_sentence: query: The study addresses the need for effective tools that allow both novice and expert users to analyze the diversity of news coverage about events. It highlights the importance of tailoring the interface to accommodate non-expert users while also considering the insights of journalism-savvy users, indicating a gap in existing systems that cater to varying levels of expertise in news analysis.We suggest combining 'a coordinated visualization interface tailored for visualization non-expert users' and 
sentences: graph convolution, Monte-Carlo sampling, geometric features derived from perception sensor data, source_sentence: query: The accuracy of pixel flows is crucial for achieving high-quality video enhancement, yet most prior works focus on estimating dense flows that are generally less robust and computationally expensive. This highlights a gap in existing methodologies that fail to prioritize accuracy over density, necessitating a more efficient approach to flow estimation for video enhancement tasks.We suggest combining 'sparse point cloud data' and 
sentences: a human cognition mechanism, object unity, Bayesian Optimization, offline supervised learning, source_sentence: query: The traditional frame of discernment lacks a crucial factor, the sequence of propositions, which limits the effectiveness of existing methods to measure uncertainty. This gap highlights the need for a more comprehensive approach that can better represent the relationships between the elements of the frame of discernment.We suggest 'combine the order of propositions and the mass of them' inspired by 
sentences: a MIA-Module, an Explore-m problem--a well-studied problem related to multi-armed bandits, based on the novel method UGPIG, source_sentence: query: Existing methods for anomaly detection on dynamic graphs struggle with capturing complex time information in graph structures and generating effective negative samples for unsupervised learning. These challenges highlight the need for improved methodologies that can address the limitations of current approaches in this field.We suggest combining 'a message-passing framework' and 
sentences: an LSTM encoder-decoder, an energy-based model, learning the frame-wise associations between detections in consecutive frames, source_sentence: query: The study addresses the need for effective time series forecasting methods to estimate the spread of epidemics, particularly in light of the resurgence of COVID-19 cases. It highlights the importance of accurately modeling both linear and non-linear features of epidemic data to provide state authorities and health officials with reliable short-term forecasts and strategies.We suggest combining 'ARIMA' and 
sentences: visualization methodologies, geometry, the utilization of a gradient signed distance field (gradient-SDF)
pipeline_tag: sentence-similarity
library_name: sentence-transformers
license: cc
datasets: noystl/Recombination-Pred
language: en
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Created: 2025-04-11 12:48:27