Abstract MicroRNAs (miRNAs) are key post-transcriptional regulators in gene regulatory networks (GRNs). Comprehensive research on miRNAs increasingly requires the integration of large and heterogeneous datasets, together with more efficient approaches to knowledge exploration. Here, we present PmiREN3.0, a major update of the Plant MicroRNA Encyclopedia. Compared with PmiREN2.0, species/subspecies coverage increased from 179 to 340, adding 22 orders, 51 families, and 108 genera. Using the same standardized workflow and annotation criteria as previous releases, high-confidence miRNAs were identified from 5319 small RNA sequencing (sRNA-seq) datasets, with miRNA loci increasing from 39 751 to 87 667 and miRNA families from 7838 to 18 389. Resources and tools from previous releases were extensively updated, while six new modules were added for primary transcripts, DNA methylation, RNA modifications, stress-responsive expression, metabolic pathways, and core GRNs. PmiREN3.0 also introduces miRai+, a knowledge service powered by artificial intelligence (AI) that combines a language model fine-tuned on miRNA knowledge with retrieval augmented generation. Evaluation yielded scores of 0.910 for answer relevance, 0.965 for faithfulness, and 0.906 for factual correctness. Together, PmiREN3.0 provides an expanded plant miRNA dataset and an integrated platform combining multi-omics data and AI-assisted knowledge services for plant miRNA research. PmiREN3.0 is available at https://pmiren.com/.
This paper investigates developing real-world perception for active agents, proposes Gibson Environment for this purpose, and showcases a set of perceptual tasks learned therein.
F. Xia, Amir Zamir, Zhi-Yang He et al.· 2018 IEEE/CVF Conference on...· 1,069 citations· ⚡112
Supporting data, adapters, predictions and code for the article *Low-Cost LoRA Fine-Tuning of Small Language Models for Multi-Step Arithmetic Reasoning* by Jake O'Grady, Asena Isik Gürhan, Chee Fong Ting and Effirul Ramlan (University of Galway). We generated 20,000 GSM8K-derived arithmetic problems with step-by-step s...
O'Grady, Jake, Gürhan, Asena Isik, Chee, Fong Ting et al.· Zenodo (CERN European Organi...· 465 citations
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
An algorithm is proposed which leverages disentangled semantic factors to generate adversarial perturbation by altering controlled semantic attributes to fool the learner towards various "adversarial" targets.
Haonan Qiu, Chaowei Xiao, Lei Yang et al.· arXiv.org· 208 citations· ⚡17
This work proposes a HALO that directly maximizes the utility of generations instead of maximizing the log-likelihood of preferences, and suggests that the best loss depends on the inductive biases most appropriate for a given setting, an oft-overlooked consideration.
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al.· IEEE Transactions on Softwar...· 178 citations· ⚡14