Tara Safavi

Orcid: 0000-0002-3553-4331

According to our database1, Tara Safavi authored at least 28 papers between 2016 and 2024.

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Bibliography

2024
Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media.
CoRR, 2024

The Use of Generative Search Engines for Knowledge Work and Complex Tasks.
CoRR, 2024

TnT-LLM: Text Mining at Scale with Large Language Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers.
CoRR, 2023

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies.
CoRR, 2023

2022
17th International Workshop on Mining and Learning with Graphs (MLG).
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction.
Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022

2021
NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Relational World Knowledge Representation in Contextual Language Models: A Review.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Report on the first workshop on bias in automatic knowledge graph construction at AKBC 2020.
SIGIR Forum, 2020

Generating Negative Commonsense Knowledge.
CoRR, 2020

Proceedings of the KG-BIAS Workshop 2020 at AKBC 2020.
CoRR, 2020

Improving the Utility of Knowledge Graph Embeddings with Calibration.
CoRR, 2020

Toward Activity Discovery in the Personal Web.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

CoDEx: A Comprehensive Knowledge Graph Completion Benchmark.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Fast network discovery on sequence data via time-aware hashing.
Knowl. Inf. Syst., 2019

Smart Roles: Inferring Professional Roles in Email Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Distribution of Node Embeddings as Multiresolution Features for Graphs.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Reducing large graphs to small supergraphs: a unified approach.
Soc. Netw. Anal. Min., 2018

Graph Summarization Methods and Applications: A Survey.
ACM Comput. Surv., 2018

Career Transitions and Trajectories: A Case Study in Computing.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

REGAL: Representation Learning-based Graph Alignment.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Scalable Hashing-Based Network Discovery.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
A Graph Summarization: A Survey.
CoRR, 2016


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