Tara Safavi

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Zhuoran Lu, Sheshera Mysore, Tara Safavi, Jennifer Neville, Longqi Yang, Mengting Wan

CoRR, 2024

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

Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang

CoRR, 2024

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

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

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.

Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent J. Hecht, Jaime Teevan

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.

Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

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

Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi

CoRR, 2023

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

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

CoRR, 2023

2022

17th International Workshop on Mining and Learning with Graphs (MLG).

Shobeir Fakhraei, Tim Weninger, Neil Shah, Sami Abu-El-Haija, Saurabh Verma, Tara Safavi

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.

Tara Safavi, Doug Downey, Tom Hope

Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022

2021

NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases.

Tara Safavi, Jing Zhu, Danai Koutra

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Relational World Knowledge Representation in Contextual Language Models: A Review.

Tara Safavi, Danai Koutra

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.

Tara Safavi, Edgar Meij, Fatma Özcan, Miriam Redi, Gianluca Demartini, Chenyan Xiong

SIGIR Forum, 2020

Generating Negative Commonsense Knowledge.

Tara Safavi, Danai Koutra

CoRR, 2020

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

Edgar Meij, Tara Safavi, Chenyan Xiong, Gianluca Demartini, Miriam Redi, Fatma Özcan

CoRR, 2020

Improving the Utility of Knowledge Graph Embeddings with Calibration.

Tara Safavi, Danai Koutra, Edgar Meij

CoRR, 2020

Toward Activity Discovery in the Personal Web.

Tara Safavi, Adam Fourney, Robert Sim, Marcin Juraszek, Shane Williams, Ned Friend, Danai Koutra, Paul N. Bennett

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.

Tara Safavi, Danai Koutra, Edgar Meij

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

CoDEx: A Comprehensive Knowledge Graph Completion Benchmark.

Tara Safavi, Danai Koutra

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Fast network discovery on sequence data via time-aware hashing.

Tara Safavi, Chandra Sekhar Sripada, Danai Koutra

Knowl. Inf. Syst., 2019

Smart Roles: Inferring Professional Roles in Email Networks.

Di Jin, Mark Heimann, Tara Safavi, Mengdi Wang, Wei Lee, Lindsay Snider, Danai Koutra

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket.

Tara Safavi, Caleb Belth, Lukas Faber, Davide Mottin, Emmanuel Müller, Danai Koutra

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Distribution of Node Embeddings as Multiresolution Features for Graphs.

Mark Heimann, Tara Safavi, Danai Koutra

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Reducing large graphs to small supergraphs: a unified approach.

Yike Liu, Tara Safavi, Neil Shah, Danai Koutra

Soc. Netw. Anal. Min., 2018

Graph Summarization Methods and Applications: A Survey.

Yike Liu, Tara Safavi, Abhilash Dighe, Danai Koutra

ACM Comput. Surv., 2018

Career Transitions and Trajectories: A Case Study in Computing.

Tara Safavi, Maryam Davoodi, Danai Koutra

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

REGAL: Representation Learning-based Graph Alignment.

Mark Heimann, Haoming Shen, Tara Safavi, Danai Koutra

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Scalable Hashing-Based Network Discovery.

Tara Safavi, Chandra Sekhar Sripada, Danai Koutra

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

A Graph Summarization: A Survey.

Yike Liu, Abhilash Dighe, Tara Safavi, Danai Koutra

CoRR, 2016