7 citations · 17 across the 8 of their papers we have counts for
9 papers
TractorBeam: Personalized AI Sensemaking Support via Collaborative Machine Annotation
Sireesh Gururaja, Jordan Taylor, Emma Strubell
Language model-based systems which allow asking questions of documents have become popular tools for sensemaking. Despite their implied capability, these systems still suffer from…
Locating Translation as a Craft in the Age of AI
Daniel Chechelnitsky, Sireesh Gururaja, Seyi Olojo +4
Rapid development of Large Language Models (LLMs) and similar automated approaches for translation tasks is increasingly affecting the landscape of translation technologies. As con…
Information Access of the Oppressed: Freirean Design for Emancipatory Information Access
Bhaskar Mitra, Nicola Neophytou, Sireesh Gururaja
Online information access (IA) platforms are targets of authoritarian capture. We explore the question of how to safeguard our platforms and ensure emancipatory outcomes through th…
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…
Basic Research, Lethal Effects: Military AI Research Funding as Enlistment
David Gray Widder, Sireesh Gururaja, Lucy Suchman
In the context of unprecedented U.S. Department of Defense (DoD) budgets, this paper examines the recent history of DoD funding for academic research in algorithmically based warfi…
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…
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…
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…
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…