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20232026
most citedTo Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing

7 citations · 17 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025

Beyond Text: Characterizing Domain Expert Needs in Document Research

Sireesh Gururaja, Nupoor Gandhi, Jeremiah Milbauer +1

Working with documents is a key part of almost any knowledge work, from contextualizing research in a literature review to reviewing legal precedent. Recently, as their capabilitie…

cs.CL2024

Collage: Decomposable Rapid Prototyping for Information Extraction on Scientific PDFs

Sireesh Gururaja, Yueheng Zhang, Guannan Tang +6

Recent years in NLP have seen the continued development of domain-specific information extraction tools for scientific documents, alongside the release of increasingly multimodal p…

cs.CL2023★ 7 cited

To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing

Sireesh Gururaja, Amanda Bertsch, Clara Na +2

NLP is in a period of disruptive change that is impacting our methodologies, funding sources, and public perception. In this work, we seek to understand how to shape our future by…

cs.CL2023★ 2 cited

Linguistic representations for fewer-shot relation extraction across domains

Sireesh Gururaja, Ritam Dutt, Tinglong Liao +1

Recent work has demonstrated the positive impact of incorporating linguistic representations as additional context and scaffolding on the in-domain performance of several NLP tasks…

cs.CL2023★ 6 cited

LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs

Tongshuang Wu, Haiyi Zhu, Maya Albayrak +21

LLMs have shown promise in replicating human-like behavior in crowdsourcing tasks that were previously thought to be exclusive to human abilities. However, current efforts focus ma…