Sajjadur Rahman

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Topics

Ripple Down Rules

Multimodal Data

Top Venues

Proc. VLDB Endow.

GUIDE-AI@SIGMOD

Publications

Sajjadur Rahman, Frederick Choi, Hannah Kim, Dan Zhang, Estevam Hruschka
Knowledge Acquisition and Integration with Expert-in-the-loop. CoRR (2024)
Yanlin Feng, Sajjadur Rahman, Aaron Feng, Vincent Chen, Eser Kandogan
CMDBench: A Benchmark for Coarse-to-fine Multimodal Data Discovery in Compound AI Systems. GUIDE-AI@SIGMOD (2024)
Yanlin Feng, Sajjadur Rahman, Aaron Feng, Vincent Chen, Eser Kandogan
CMDBench: A Benchmark for Coarse-to-fine Multimodal Data Discovery in Compound AI Systems. CoRR (2024)
Hannah Kim, Kushan Mitra, Rafael Li Chen, Sajjadur Rahman, Dan Zhang
MEGAnno+: A Human-LLM Collaborative Annotation System. CoRR (2024)
Hannah Kim, Kushan Mitra, Rafael Li Chen, Sajjadur Rahman, Dan Zhang
MEGAnno+: A Human-LLM Collaborative Annotation System. EACL (Demonstrations) (2024)
Aditi Mishra, Sajjadur Rahman, Kushan Mitra, Hannah Kim, Estevam Hruschka
Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks. ACL (Findings) (2024)
Xinru Wang, Hannah Kim, Sajjadur Rahman, Kushan Mitra, Zhengjie Miao
Human-LLM Collaborative Annotation Through Effective Verification of LLM Labels. CHI (2024)
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
A Blueprint Architecture of Compound AI Systems for Enterprise. CoRR (2024)
Pouya Pezeshkpour, Eser Kandogan, Nikita Bhutani, Sajjadur Rahman, Tom M. Mitchell, Estevam Hruschka
Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions. CoRR (2024)
Frederick Choi, Sajjadur Rahman, Hannah Kim, Dan Zhang
Towards Transparent, Reusable, and Customizable Data Science in Computational Notebooks. CoRR (2023)
Nahyun Kwon, Hannah Kim, Sajjadur Rahman, Dan Zhang, Estevam Hruschka
Weedle: Composable Dashboard for Data-Centric NLP in Computational Notebooks. WWW (Companion Volume) (2023)
Frederick Choi, Sajjadur Rahman, Hannah Kim, Dan Zhang
Towards Transparent, Reusable, and Customizable Data Science in Computational Notebooks. CHI Extended Abstracts (2023)
Aditi Mishra, Sajjadur Rahman, Hannah Kim, Kushan Mitra, Estevam Hruschka
Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks. CoRR (2023)
Sajjadur Rahman, Hannah Kim, Dan Zhang, Estevam Hruschka, Eser Kandogan
Towards Multifaceted Human-Centered AI. CoRR (2023)
Sajjadur Rahman, Eser Kandogan
Characterizing Practices, Limitations, and Opportunities Related to Text Information Extraction Workflows: A Human-in-the-loop Perspective. CHI (2022)
Seiji Maekawa, Dan Zhang, Hannah Kim, Sajjadur Rahman, Estevam Hruschka
Low-resource Interactive Active Labeling for Fine-tuning Language Models. EMNLP (Findings) (2022)
Yutong Shao, Nikita Bhutani, Sajjadur Rahman, Estevam Hruschka
Low-resource Entity Set Expansion: A Comprehensive Study on User-generated Text. NAACL-HLT (Findings) (2022)
Sajjadur Rahman, Mangesh Bendre, Yuyang Liu, Shichu Zhu, Zhaoyuan Su, Karrie Karahalios, Aditya G. Parameswaran
NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews. Proc. VLDB Endow. 14 (6) (2021)
Sajjadur Rahman, Peter Griggs, Çagatay Demiralp
Leam: An Interactive System for In-situ Visual Text Analysis. CIDR (2021)
Sajjadur Rahman, Peter Griggs, Çagatay Demiralp
Leam: An Interactive System for In-situ Visual Text Analysis. CoRR (2020)
Sajjadur Rahman, Kelly Mack, Mangesh Bendre, Ruilin Zhang, Karrie Karahalios, Aditya G. Parameswaran
Benchmarking Spreadsheet Systems. SIGMOD Conference (2020)
Sajjadur Rahman, Pao Siangliulue, Adam Marcus
MixTAPE: Mixed-initiative Team Action Plan Creation Through Semi-structured Notes, Automatic Task Generation, and Task Classification. Proc. ACM Hum. Comput. Interact. 4 (CSCW2) (2020)
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
Faster, Higher, Stronger: Redesigning Spreadsheets for Scale. ICDE (2019)
Sajjadur Rahman, Maryam Aliakbarpour, Hidy Kong, Eric Blais, Karrie Karahalios, Aditya G. Parameswaran, Ronitt Rubinfeld
I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making. Proc. VLDB Endow. 10 (11) (2017)
Manasi Vartak, Sajjadur Rahman, Samuel Madden, Aditya G. Parameswaran, Neoklis Polyzotis
SEEDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics. Proc. VLDB Endow. 8 (13) (2015)