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Appendix
Moreover, there remains a considerable gap between the ability to answer exam questions and the application of this knowledge in real-world situations. To bridge the gap and thoroughly assess LLMs in supporting the crop science field, we introduce CROP.
Empowering and Assessing the Utility of Large Language Models in Crop Science
The CROP benchmark includes 5,045 multiple-choice questions covering three difficulty levels.
Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
While humans accomplish 72.4% of the tasks, the best
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans
Key attributes (cf. Figure 1) include the challenging task of classifying doppelganger animals,
Supplementary material for CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence 1 Dataset Documentations 1 1.1 Hosted URLs
This task assesses the LLMs' ability to evaluate the severity of This task tests the LLMs' capability to The dataset consists of 5 TSV files, each corresponding to a different task. "Prompt" column used to pose questions to the LLM. Most files also include a "GT" column that Do not distribute. of LLMs to understand and analyze various aspects of open-source CTI. The dataset includes URLs indicating the sources from which the data was collected. A permanent DOI identifier is associated with the dataset: DOI: AI4Sec (2024).
Newswire: A Large-Scale Structured Database of a Century of Historical News
In the U.S. historically, local newspapers drew their content largely from newswires