SeedBench: A Multi-task Benchmark for Evaluating Large Language Models in Seed Science

Principles of seed science and technology

Lawrence O Copeland and Miller F McDonald. 2012 · 2012

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Attention is all you need

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017

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Bert: Pre-training of deep bidirectional transformers for language understanding

Original

Jacob Devlin. 2018 · 2018

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Improving language understanding by generative pre-training

Alec Radford. 2018 · 2018

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Frontier technologies for smallholder farmers: Addressing information asymmetries and deficiencies

K Iversen, HWJ Cheng, K Helgason, and M LaFleur. 2021 · 2021

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TruthfulQA: Measuring how models mimic human falsehoods

Stephanie Lin, Jacob Hilton, and Owain Evans. 2022 · 2022

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Gpt-4 technical report

Original

Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023

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Large language models in education: Vision and opportunities

Wensheng Gan, Zhenlian Qi, Jiayang Wu, and Jerry Chun-Wei Lin. 2023 · 2023

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Mistral 7b

Original

Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, et al. 2023 · 2023

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Instruction-following evaluation for large language models

Original

Jeffrey Zhou, Tianjian Lu, Swaroop Mishra, Siddhartha Brahma, Sujoy Basu, Yi Luan, Denny Zhou, and Le Hou. 2023 · 2023

Cited alongside, same era.

Ageval: A benchmark for zero-shot and few-shot plant stress phenotyping with multimodal llms

Original

Muhammad Arbab Arshad, Talukder Zaki Jubery, Tirtho Roy, Rim Nassiri, Asheesh K Singh, Arti Singh, Chinmay Hegde, Baskar Ganapathysubramanian, Aditya Balu, Adarsh Krishnamurthy, et al. 2024 · 2024

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Internlm2 technical report

Original

Zheng Cai, Maosong Cao, Haojiong Chen, Kai Chen, Keyu Chen, Xin Chen, Xun Chen, Zehui Chen, Zhi Chen, Pei Chu, et al. 2024 · 2024

Cited alongside, same era.

Large language models can help boost food production, but be mindful of their risks

Djavan De Clercq, Elias Nehring, Harry Mayne, and Adam Mahdi. 2024 · 2024

Cited alongside, same era.

Ai for crop production–where can large language models (llms) provide substantial value?

Matheus Thomas Kuska, Mirwaes Wahabzada, and Stefan Paulus. 2024 · 2024

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Deepseek-v3 technical report

Original

Aixin Liu, Bei Feng, Bing Xue, Bingxuan Wang, Bochao Wu, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chenyu Zhang, Chong Ruan, et al. 2024 · 2024

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Llms-healthcare: Current applications and challenges of large language models in various medical specialties

Ummara Mumtaz, Awais Ahmed, and Summaya Mumtaz. 2024 · 2024

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Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Original

Gemini Team, Petko Georgiev, Ving Ian Lei, Ryan Burnell, Libin Bai, Anmol Gulati, Garrett Tanzer, Damien Vincent, Zhufeng Pan, Shibo Wang, et al. 2024 · 2024

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Causalbench: A comprehensive benchmark for evaluating causal reasoning capabilities of large language models