Sajjadur Rahman

According to our database, Sajjadur Rahman authored at least 24 papers between 2015 and 2024.

Collaborative distances:

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

2024

CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era.

Yanlin Feng, Simone Papicchio, Sajjadur Rahman

CoRR, 2024

FactLens: Benchmarking Fine-Grained Fact Verification.

Kushan Mitra, Dan Zhang, Sajjadur Rahman, Estevam Hruschka

CoRR, 2024

A Blueprint Architecture of Compound AI Systems for Enterprise.

Eser Kandogan, Sajjadur Rahman, Nikita Bhutani, Dan Zhang, Rafael Li Chen, Kushan Mitra, Sairam Gurajada, Pouya Pezeshkpour, Hayate Iso, Yanlin Feng, Hannah Kim, Chen Shen, Jin Wang, Estevam Hruschka

CoRR, 2024

Knowledge Acquisition and Integration with Expert-in-the-loop.

Sajjadur Rahman, Frederick Choi, Hannah Kim, Dan Zhang, Estevam Hruschka

CoRR, 2024

Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions.

Pouya Pezeshkpour, Eser Kandogan, Nikita Bhutani, Sajjadur Rahman, Tom M. Mitchell, Estevam Hruschka

CoRR, 2024

CMDBench: A Benchmark for Coarse-to-fine Multimodal Data Discovery in Compound AI Systems.

Yanlin Feng, Sajjadur Rahman, Aaron Feng, Vincent Chen, Eser Kandogan

Proceedings of the Conference on Governance, 2024

MEGAnno+: A Human-LLM Collaborative Annotation System.

Hannah Kim, Kushan Mitra, Rafael Li Chen, Sajjadur Rahman, Dan Zhang

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Demonstration of a Multi-agent Framework for Text to SQL Applications with Large Language Models.

Chen Shen, Jin Wang, Sajjadur Rahman, Eser Kandogan

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Human-LLM Collaborative Annotation Through Effective Verification of LLM Labels.

Xinru Wang, Hannah Kim, Sajjadur Rahman, Kushan Mitra, Zhengjie Miao

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks.

Aditi Mishra, Sajjadur Rahman, Kushan Mitra, Hannah Kim, Estevam Hruschka

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

2023

Towards Multifaceted Human-Centered AI.

Sajjadur Rahman, Hannah Kim, Dan Zhang, Estevam Hruschka, Eser Kandogan

CoRR, 2023

Weedle: Composable Dashboard for Data-Centric NLP in Computational Notebooks.

Nahyun Kwon, Hannah Kim, Sajjadur Rahman, Dan Zhang, Estevam Hruschka

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Towards Transparent, Reusable, and Customizable Data Science in Computational Notebooks.

Frederick Choi, Sajjadur Rahman, Hannah Kim, Dan Zhang

Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Low-resource Entity Set Expansion: A Comprehensive Study on User-generated Text.

Yutong Shao, Nikita Bhutani, Sajjadur Rahman, Estevam Hruschka

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Low-resource Interactive Active Labeling for Fine-tuning Language Models.

Seiji Maekawa, Dan Zhang, Hannah Kim, Sajjadur Rahman, Estevam Hruschka

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Characterizing Practices, Limitations, and Opportunities Related to Text Information Extraction Workflows: A Human-in-the-loop Perspective.

Sajjadur Rahman, Eser Kandogan

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews.

Sajjadur Rahman, Mangesh Bendre, Yuyang Liu, Shichu Zhu, Zhaoyuan Su, Karrie Karahalios, Aditya G. Parameswaran

Proc. VLDB Endow., 2021

Leam: An Interactive System for In-situ Visual Text Analysis.

Sajjadur Rahman, Peter Griggs, Çagatay Demiralp

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

Intuitive, interactive, and scalable multi-resolution interfaces for accelerating data exploration

Sajjadur Rahman

PhD thesis, 2020

MixTAPE: Mixed-initiative Team Action Plan Creation Through Semi-structured Notes, Automatic Task Generation, and Task Classification.

Sajjadur Rahman, Pao Siangliulue, Adam Marcus

Proc. ACM Hum. Comput. Interact., 2020

Benchmarking Spreadsheet Systems.

Sajjadur Rahman, Kelly Mack, Mangesh Bendre, Ruilin Zhang, Karrie Karahalios, Aditya G. Parameswaran

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

Faster, Higher, Stronger: Redesigning Spreadsheets for Scale.

Mangesh Bendre, Tana Wattanawaroon, Sajjadur Rahman, Kelly Mack, Yuyang Liu, Shichu Zhu, Yu Lu, Ping-Jing Yang, Xinyan Zhou, Kevin Chen-Chuan Chang, Karrie Karahalios, Aditya G. Parameswaran

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2017

I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making.

Sajjadur Rahman, Maryam Aliakbarpour, Hidy Kong, Eric Blais, Karrie Karahalios, Aditya G. Parameswaran, Ronitt Rubinfeld

Proc. VLDB Endow., 2017

2015

SEEDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics.

Manasi Vartak, Sajjadur Rahman, Samuel Madden, Aditya G. Parameswaran, Neoklis Polyzotis

Proc. VLDB Endow., 2015