activity
20192026
most citedNomic Embed: Training a Reproducible Long Context Text Embedder

29 citations · 53 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

AEC-Bench: A Multimodal Benchmark for Agentic Systems in Architecture, Engineering, and Construction

Harsh Mankodiya, Chase Gallik, Theodoros Galanos +1

The AEC-Bench is a multimodal benchmark for evaluating agentic systems on real-world tasks in the Architecture, Engineering, and Construction (AEC) domain. The benchmark covers tas…

cs.CL2024

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…

cs.CV2024★ 2 cited

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…

cs.CL2024★ 29 cited

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…

cs.CL2023★ 1 cited

GPT4All: An Ecosystem of Open Source Compressed Language Models

Yuvanesh Anand, Zach Nussbaum, Adam Treat +6

Large language models (LLMs) have recently achieved human-level performance on a range of professional and academic benchmarks. The accessibility of these models has lagged behind…

cs.CL2020

MT-Clinical BERT: Scaling Clinical Information Extraction with Multitask Learning

Andriy Mulyar, Bridget T. McInnes

Clinical notes contain an abundance of important but not-readily accessible information about patients. Systems to automatically extract this information rely on large amounts of t…

cs.CL2019★ 21 cited

Phenotyping of Clinical Notes with Improved Document Classification Models Using Contextualized Neural Language Models

Andriy Mulyar, Elliot Schumacher, Masoud Rouhizadeh +1

Clinical notes contain an extensive record of a patient's health status, such as smoking status or the presence of heart conditions. However, this detail is not replicated within t…