Search Results for author: Tara Safavi

Found 14 papers, 4 papers with code

TnT-LLM: Text Mining at Scale with Large Language Models

no code implementations18 Mar 2024 Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan

Transforming unstructured text into structured and meaningful forms, organized by useful category labels, is a fundamental step in text mining for downstream analysis and application.

PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers

no code implementations15 Nov 2023 Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi

Powerful large language models have facilitated the development of writing assistants that promise to significantly improve the quality and efficiency of composition and communication.

Language Modelling Large Language Model +1

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies

no code implementations14 Sep 2023 Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Scott Counts, Sarkar Snigdha Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Xiaochuan Ni, Nagu Rangan, Tara Safavi, Siddharth Suri, Mengting Wan, Leijie Wang, Longqi Yang

However, using LLMs to generate a user intent taxonomy and apply it for log analysis can be problematic for two main reasons: (1) such a taxonomy is not externally validated; and (2) there may be an undesirable feedback loop.

CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction

1 code implementation16 May 2022 Tara Safavi, Doug Downey, Tom Hope

Knowledge graph (KG) link prediction is a fundamental task in artificial intelligence, with applications in natural language processing, information retrieval, and biomedicine.

Information Retrieval Knowledge Graph Embeddings +2

CoDEx: A Comprehensive Knowledge Graph Completion Benchmark

2 code implementations EMNLP 2020 Tara Safavi, Danai Koutra

We present CoDEx, a set of knowledge graph completion datasets extracted from Wikidata and Wikipedia that improve upon existing knowledge graph completion benchmarks in scope and level of difficulty.

Benchmarking Link Prediction +1

Proceedings of the KG-BIAS Workshop 2020 at AKBC 2020

no code implementations18 Jun 2020 Edgar Meij, Tara Safavi, Chenyan Xiong, Gianluca Demartini, Miriam Redi, Fatma Özcan

The KG-BIAS 2020 workshop touches on biases and how they surface in knowledge graphs (KGs), biases in the source data that is used to create KGs, methods for measuring or remediating bias in KGs, but also identifying other biases such as how and which languages are represented in automatically constructed KGs or how personal KGs might incur inherent biases.

Knowledge Graphs

Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction

no code implementations EMNLP 2020 Tara Safavi, Danai Koutra, Edgar Meij

We first conduct an evaluation under the standard closed-world assumption (CWA), in which predicted triples not already in the knowledge graph are considered false, and show that existing calibration techniques are effective for KGE under this common but narrow assumption.

Knowledge Graph Embedding Knowledge Graph Embeddings +1

REGAL: Representation Learning-based Graph Alignment

1 code implementation17 Feb 2018 Mark Heimann, Haoming Shen, Tara Safavi, Danai Koutra

Problems involving multiple networks are prevalent in many scientific and other domains.

Social and Information Networks

Graph Summarization Methods and Applications: A Survey

no code implementations14 Dec 2016 Yike Liu, Tara Safavi, Abhilash Dighe, Danai Koutra

While advances in computing resources have made processing enormous amounts of data possible, human ability to identify patterns in such data has not scaled accordingly.

Data Summarization

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