activity
20172025
most citedAI-VERDE: A Gateway for Egalitarian Access to Large Language Model-Based Resources For Educational Institutions

1 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2025★ 1 cited

AI-VERDE: A Gateway for Egalitarian Access to Large Language Model-Based Resources For Educational Institutions

Paul Mithun, Enrique Noriega-Atala, Nirav Merchant +1

We present AI-VERDE, a unified LLM-as-a-platform service designed to facilitate seamless integration of commercial, cloud-hosted, and on-premise open LLMs in academic settings. AI-…

cs.IR2024

Variable Extraction for Model Recovery in Scientific Literature

Chunwei Liu, Enrique Noriega-Atala, Adarsh Pyarelal +2

The global output of academic publications exceeds 5 million articles per year, making it difficult for humans to keep up with even a tiny fraction of scientific output. We need me…

cs.CL2024

When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context

Enrique Noriega-Atala, Robert Vacareanu, Salena Torres Ashton +3

We introduce a neural architecture finetuned for the task of scenario context generation: The relevant location and time of an event or entity mentioned in text. Contextualizing in…

cs.CL2022

Learning Open Domain Multi-hop Search Using Reinforcement Learning

Enrique Noriega-Atala, Mihai Surdeanu, Clayton T. Morrison

We propose a method to teach an automated agent to learn how to search for multi-hop paths of relations between entities in an open domain. The method learns a policy for directing…

cs.CL2021★ 1 cited

Neural Architectures for Biological Inter-Sentence Relation Extraction

Enrique Noriega-Atala, Peter M. Lovett, Clayton T. Morrison +1

We introduce a family of deep-learning architectures for inter-sentence relation extraction, i.e., relations where the participants are not necessarily in the same sentence. We app…

cs.CL2018

Inter-sentence Relation Extraction for Associating Biological Context with Events in Biomedical Texts

Enrique Noriega-Atala, Paul D. Hein, Shraddha S. Thumsi +3

We present an analysis of the problem of identifying biological context and associating it with biochemical events in biomedical texts. This constitutes a non-trivial, inter-senten…