29 citations · 35 across the 8 of their papers we have counts for
4 papers · 1 filter
CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking
Tarun Suresh, Revanth Gangi Reddy, Yifei Xu +4
Effective code retrieval plays a crucial role in advancing code generation, bug fixing, and software maintenance, particularly as software systems increase in complexity. While cur…
Tracking the perspectives of interacting language models
Hayden Helm, Brandon Duderstadt, Youngser Park +1
Large language models (LLMs) are capable of producing high quality information at unprecedented rates. As these models continue to entrench themselves in society, the content they…
Nomic Embed Vision: Expanding the Latent Space
Zach Nussbaum, Brandon Duderstadt, Andriy Mulyar
This technical report describes the training of nomic-embed-vision, a highly performant, open-code, open-weights image embedding model that shares the same latent space as nomic-em…
Nomic Embed: Training a Reproducible Long Context Text Embedder
Zach Nussbaum, John X. Morris, Brandon Duderstadt +1
This technical report describes the training of nomic-embed-text-v1, the first fully reproducible, open-source, open-weights, open-data, 8192 context length English text embedding…