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ORCIDSajjadur Rahman
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2020 – today
- 2024
[c13]Aditi Mishra, Sajjadur Rahman, Kushan Mitra, Hannah Kim, Estevam Hruschka:
Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks. ACL (Findings) 2024: 8117-8139- [c12]Xinru Wang
, Hannah Kim, Sajjadur Rahman, Kushan Mitra, Zhengjie Miao:
Human-LLM Collaborative Annotation Through Effective Verification of LLM Labels. CHI 2024: 303:1-303:21 - [c11]Chen Shen, Jin Wang, Sajjadur Rahman, Eser Kandogan:
Demonstration of a Multi-agent Framework for Text to SQL Applications with Large Language Models. CIKM 2024: 5280-5283 - [c10]Hannah Kim, Kushan Mitra, Rafael Li Chen, Sajjadur Rahman, Dan Zhang:
MEGAnno+: A Human-LLM Collaborative Annotation System. EACL (Demonstrations) 2024: 168-176 - [c9]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: 16-25 - [i11]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 abs/2402.01108 (2024) - [i10]Sajjadur Rahman, Frederick Choi, Hannah Kim, Dan Zhang, Estevam Hruschka:
Knowledge Acquisition and Integration with Expert-in-the-loop. CoRR abs/2402.03291 (2024) - [i9]Hannah Kim, Kushan Mitra, Rafael Li Chen, Sajjadur Rahman, Dan Zhang:
MEGAnno+: A Human-LLM Collaborative Annotation System. CoRR abs/2402.18050 (2024) - [i8]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 abs/2406.00583 (2024) - [i7]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 abs/2406.00584 (2024) - [i6]Kushan Mitra, Dan Zhang, Sajjadur Rahman, Estevam Hruschka:
FactLens: Benchmarking Fine-Grained Fact Verification. CoRR abs/2411.05980 (2024) - [i5]Yanlin Feng, Simone Papicchio, Sajjadur Rahman:
CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era. CoRR abs/2412.18702 (2024) - 2023
- [c8]Frederick Choi, Sajjadur Rahman, Hannah Kim, Dan Zhang:
Towards Transparent, Reusable, and Customizable Data Science in Computational Notebooks. CHI Extended Abstracts 2023: 290:1-290:8 - [c7]Nahyun Kwon, Hannah Kim, Sajjadur Rahman, Dan Zhang, Estevam Hruschka:
Weedle: Composable Dashboard for Data-Centric NLP in Computational Notebooks. WWW (Companion Volume) 2023: 132-135 - [i4]Sajjadur Rahman, Hannah Kim, Dan Zhang, Estevam Hruschka, Eser Kandogan:
Towards Multifaceted Human-Centered AI. CoRR abs/2301.03656 (2023) - [i3]Frederick Choi, Sajjadur Rahman, Hannah Kim, Dan Zhang:
Towards Transparent, Reusable, and Customizable Data Science in Computational Notebooks. CoRR abs/2303.13447 (2023) - [i2]Aditi Mishra, Sajjadur Rahman, Hannah Kim, Kushan Mitra, Estevam Hruschka:
Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks. CoRR abs/2311.05085 (2023) - 2022
- [c6]Sajjadur Rahman, Eser Kandogan:
Characterizing Practices, Limitations, and Opportunities Related to Text Information Extraction Workflows: A Human-in-the-loop Perspective. CHI 2022: 628:1-628:15 - [c5]Seiji Maekawa, Dan Zhang, Hannah Kim, Sajjadur Rahman, Estevam Hruschka:
Low-resource Interactive Active Labeling for Fine-tuning Language Models. EMNLP (Findings) 2022: 3230-3242 - [c4]Yutong Shao, Nikita Bhutani, Sajjadur Rahman, Estevam Hruschka:
Low-resource Entity Set Expansion: A Comprehensive Study on User-generated Text. NAACL-HLT (Findings) 2022: 1343-1353 - 2021
- [j4]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): 970-983 (2021) - [c3]Sajjadur Rahman, Peter Griggs, Çagatay Demiralp:
Leam: An Interactive System for In-situ Visual Text Analysis. CIDR 2021 - 2020
- [b1]Sajjadur Rahman:
Intuitive, interactive, and scalable multi-resolution interfaces for accelerating data exploration. University of Illinois Urbana-Champaign, USA, 2020 - [j3]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): 169:1-169:26 (2020) - [c2]Sajjadur Rahman, Kelly Mack, Mangesh Bendre, Ruilin Zhang, Karrie Karahalios, Aditya G. Parameswaran:
Benchmarking Spreadsheet Systems. SIGMOD Conference 2020: 1589-1599 - [i1]Sajjadur Rahman, Peter Griggs, Çagatay Demiralp:
Leam: An Interactive System for In-situ Visual Text Analysis. CoRR abs/2009.03520 (2020)
2010 – 2019
- 2019
- [c1]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: 1972-1975 - 2017
- [j2]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): 1262-1273 (2017) - 2015
- [j1]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): 2182-2193 (2015)
Coauthor Index
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