miscellaneous-8

Virology

3260 papers • 126 benchmarks • 313 datasets

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Benchmarks

These leaderboards are used to track progress in virology-8

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BIG-bench

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i

Use these libraries to find virology-8 models and implementations

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BIG-bench

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Most implemented papers

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

A. Mensch, Katie Millican, Roman Ring, Eliza Rutherford, Jacob Menick, Sebastian Borgeaud, Aida Nematzadeh, O. Vinyals, K. Simonyan, Yujia Li, Igor Babuschkin, Po-Sen Huang, Johannes Welbl, K. Kavukcuoglu, D. Hassabis, James Bradbury, Chris Dyer, L. Sifre, George van den Driessche, Erich Elsen, D. Budden, G. Irving, Laura Weidinger, Maribeth Rauh, Iason Gabriel, William S. Isaac, Saffron Huang, Lisa Anne Hendricks, I. Higgins, Diego de Las Casas, Jack W. Rae, Siddhant M. Jayakumar, Xiang Lorraine Li, Francis Song, Cyprien de Masson d'Autume, Amy Wu, Angeliki Lazaridou, A. Kuncoro, Michela Paganini, Trevor Cai, Jordan Hoffmann, John Aslanides, Sarah Henderson, Susannah Young, Tom Hennigan, Albin Cassirer, Richard Powell, Amelia Glaese, Sumanth Dathathri, Jonathan Uesato, John F. J. Mellor, Antonia Creswell, Nat McAleese, Elena Buchatskaya, Esme Sutherland, Lena Martens, E. Gribovskaya, Domenic Donato, Jean-Baptiste Lespiau, M. Tsimpoukelli, N. Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Tobias Pohlen, Z. Gong, Daniel Toyama, Tayfun Terzi, Vladimir Mikulik, Aidan Clark, Aurelia Guy, Chris Jones, Matthew G. Johnson, Blake A. Hechtman, Edward Lockhart, Simon Osindero, Laura Rimell, Kareem W. Ayoub, J. Stanway, L. Bennett

Content

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Tue Dec 07 2021

This paper presents an analysis of Transformer-based language model performance across a wide range of model scales -- from models with tens of millions of parameters up to a 280 billion parameter model called Gopher.

1527 0

Paper Graph

Are We Done with MMLU?

Jean Kaddour, Rohit Saxena, Aryo Pradipta Gema, Joshua Ong Jun Leang, Giwon Hong, Alessio Devoto, Alberto Carlo Maria Mancino, Xuanli He, Yu Zhao, Xiaotang Du, Mohammad Reza Ghasemi Madani, Claire Barale, R. McHardy, Joshua Harris, Emile van Krieken, Pasquale Minervini•Wed Jun 05 2024

This work introduces a comprehensive framework for identifying dataset errors using a novel error annotation protocol and creates MMLU-Redux, which is a subset of 5,700 manually re-annotated questions across all 57 MMLU subjects.

108 0

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RamanNet: a generalized neural network architecture for Raman spectrum analysis

S. Kiranyaz, A. Khandakar, Nabil Ibtehaz, M. Chowdhury, Mohammad Sohel Rahman, S. Zughaier•Wed Jan 19 2022

RamanNet is immune to the invariance property in convolutional neural networks (CNNs) and at the same time better than traditional machine learning models for the inclusion of sparse connectivity and has the potential to become the de facto standard in Raman spectra data analysis.

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Exploring the evolution of research topics during the COVID-19 pandemic

S. Ceri, Francesco Invernici, Anna Bernasconi•Wed Oct 04 2023

The Cord-19 Topic Visualizer (CORToViz), a method and associated visualization tool for inspecting the CORD-19 textual corpus of scientific abstracts, is presented, based upon a careful selection of up-to-date technologies, resulting in an architecture for clustering articles along orthogonal dimensions and extraction techniques for temporal topic mining.

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Virology Capabilities Test (VCT): A Multimodal Virology Q&A Benchmark

Nathaniel Li, Jasper Götting, Pedro Medeiros, Jon G Sanders, Long Phan, K. Elabd, Lennart Justen, Dan Hendrycks, Seth Donoughe•Sun Apr 20 2025

It is proposed that the capability of LLMs to provide expert-level troubleshooting of dual-use virology work should be integrated into existing frameworks for handling dual-use technologies in the life sciences.

21 0

Paper Graph

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