Research focuses on improving language models' ability to understand longer texts.
Yi Lu, Jing Nathan Yan, Songlin Yang
― 8 min read
Cutting edge science explained simply
Research focuses on improving language models' ability to understand longer texts.
Yi Lu, Jing Nathan Yan, Songlin Yang
― 8 min read
Discover how adaptive k-NN enhances classification accuracy by adjusting neighbors.
Alexandre Luís Magalhães Levada, Frank Nielsen, Michel Ferreira Cardia Haddad
― 5 min read
Enhancing language models to communicate uncertainty can improve user trust and decision-making.
Arslan Chaudhry, Sridhar Thiagarajan, Dilan Gorur
― 6 min read
Mamba offers a new way to analyze complex systems using machine learning.
Zheyuan Hu, Nazanin Ahmadi Daryakenari, Qianli Shen
― 7 min read
A fresh approach to evaluating ML models using Item Response Theory for better insights.
Lucas Felipe Ferraro Cardoso, José de Sousa Ribeiro Filho, Vitor Cirilo Araujo Santos
― 5 min read
New insights on convergence in Linear TD Learning without strict feature independence.
Jiuqi Wang, Shangtong Zhang
― 6 min read
Compressed NMF offers a practical solution for analyzing large datasets efficiently.
Abraar Chaudhry, Elizaveta Rebrova
― 7 min read
Research highlights the importance of fair diagnosis in respiratory illnesses.
Rachel Pfeifer, Sudip Vhaduri, James Eric Dietz
― 7 min read
Strong baseline models enhance the evaluation of ML systems in healthcare.
Nathan Wolfrath, Joel Wolfrath, Hengrui Hu
― 6 min read
A new method enhances freelancer and project matching efficiency across languages.
Warren Jouanneau, Marc Palyart, Emma Jouffroy
― 8 min read
A flexible approach for analyzing changing relationships in multi-output data.
Wang Xinming, Li Yongxiang, Yue Xiaowei
― 5 min read
Examining how training data diversity affects material behavior predictions.
Jason B. Gibson, Tesia D. Janicki, Ajinkya C. Hire
― 5 min read
WaveMixSR-V2 transforms low-resolution images into high-quality outputs efficiently.
Pranav Jeevan, Neeraj Nixon, Amit Sethi
― 5 min read
Examining how element order affects the performance of language model agents in virtual spaces.
Wayne Chi, Ameet Talwalkar, Chris Donahue
― 7 min read
Understanding tipping points is crucial for predicting environmental changes.
Yu Huang, Sebastian Bathiany, Peter Ashwin
― 6 min read
Research highlights claims data's role in predicting kidney disease advancement.
Yubo Li, Saba Al-Sayouri, Rema Padman
― 6 min read
A study on improving weather predictions in the Middle East and North Africa.
Muhammad Akhtar Munir, Fahad Shahbaz Khan, Salman Khan
― 5 min read
Optimizing chemical research using different data sources for faster results.
Edmund Judge, Mohammed Azzouzi, Austin M. Mroz
― 5 min read
A novel approach to understanding variable relationships in changing environments.
Xiangchen Song, Zijian Li, Guangyi Chen
― 6 min read
A new method speeds up fluid simulations using a blend of machine learning and CFD.
Clément Caron, Philippe Lauret, Alain Bastide
― 6 min read
MusicLIME helps explain AI's approach to analyzing music through audio and lyrics.
Theodoros Sotirou, Vassilis Lyberatos, Orfeas Menis Mastromichalakis
― 6 min read
A novel model improves how language models think and respond.
Ningyuan Xi, Xiaoyu Wang, Yetao Wu
― 5 min read
Discover how CODA improves data assimilation and modeling of complex systems using neural networks.
Vadim Zinchenko, David S. Greenberg
― 7 min read
This study analyzes the two-tower model's performance against bias in document ranking.
Morris de Haan, Philipp Hager
― 5 min read
TopoMamba enhances analysis of relationships in simplicial complexes for deeper insights.
Marco Montagna, Simone Scardapane, Lev Telyatnikov
― 6 min read
AdEMAMix improves training efficiency by balancing recent and past gradients.
Matteo Pagliardini, Pierre Ablin, David Grangier
― 5 min read
This paper compares Vision Transformers and CNNs for classifying side-scan sonar images.
BW Sheffield, Jeffrey Ellen, Ben Whitmore
― 6 min read
A look at confidence intervals in few-shot learning and their impact on model evaluation.
Raphael Lafargue, Luke Smith, Franck Vermet
― 6 min read
Examining the impact of data quality on offline multi-agent reinforcement learning research.
Claude Formanek, Louise Beyers, Callum Rhys Tilbury
― 6 min read
This article explores how sample size impacts neural network performance through loss landscapes.
Nikita Kiselev, Andrey Grabovoy
― 5 min read
A new self-ensemble approach improves model resilience to adversarial changes.
Chang Dong, Zhengyang Li, Liangwei Zheng
― 6 min read
New methods enhance robotic mapping of indoor spaces using factor graphs and machine learning.
Jose Andres Millan-Romera, Hriday Bavle, Muhammad Shaheer
― 6 min read
This research explores memory reduction methods for training deep neural networks.
Daniel Barley, Holger Fröning
― 6 min read
A closer look at how CRL identifies causal relationships in data.
Dingling Yao, Dario Rancati, Riccardo Cadei
― 6 min read
New AI techniques improve fluid dynamics modeling accuracy and efficiency.
Paul Garnier, Jonathan Viquerat, Elie Hachem
― 6 min read
This study focuses on protecting quadrotors from cyber-attacks.
Samuel Belkadi
― 6 min read
A look into methods for detecting unexpected data in AI models.
Shuo Lu, Yingsheng Wang, Lijun Sheng
― 6 min read
Examining the rates at which the brain's nerve cells process information.
Roxana Zeraati, Anna Levina, Jakob H. Macke
― 10 min read
Introducing a pooling operator that maintains data integrity while improving computation speed.
T. Snelleman, B. M. Renting, H. H. Hoos
― 5 min read
A look at how conformal prediction improves uncertainty quantification in biology.
Alberto Portela, Julio R. Banga, Marcos Matabuena
― 8 min read