Sajjadur Rahman
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
12
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGMOD | Building, Serving, and Growing a Conversational AI Assistant for Enterprise. | Sumit Bhatia, Vidit Bhatia, Uttaran Bhattacharya, Victor Soares Bursztyn, Liqun Chen, Xiang Chen, Sally Fang, Horia Galatanu, Manas Garg, Shaddy Garg, Rachel Hanessian, Alex Hodorogea, Shun Jiang, Bhumir Jhaveri, Nishant Kapoor, Yongsung Kim, Eunyee Koh, Namita Krishnan, Yunyao Li, Zifan Liu, Akash Maharaj, Tung Mai, Saayan Mitra, Vaishnavi Muppala, Ramasuri Narayanam, Soumyabrata Pal, Kun Qian, Sajjadur Rahman, Ken Russell, Bikas Saha, Siddhartha Sahai, Som Satapathy, Rohan Saxena, Sai Sree Harsha, Anirudh Sureshan, Shashank Tandon, Md. Mehrab Tanjim, Saurabh Tripathy, Anirudh Verma, Fei Wu, Tong Yu |
| 2025 | ACL | CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era. | Yanlin Feng, Simone Papicchio, Sajjadur Rahman |
| 2025 | ACL | FactLens: Benchmarking Fine-Grained Fact Verification. | Kushan Mitra, Dan Zhang, Sajjadur Rahman, Estevam Hruschka |
| 2025 | IJCNLP | From Facts to Folklore: Evaluating Large Language Models on Bengali Cultural Knowledge. | Nafis Chowdhury, Moinul Haque, Anika Ahmed, Nazia Tasnim, Md. Istiak Hossain Shihab, Sajjadur Rahman, Farig Sadeque |
| 2025 | VLDB | MageSQL: Enhancing In-context Learning for Text-to-SQL Applications with Large Language Models. | Chen Shen, Jin Wang, Sajjadur Rahman, Eser Kandogan |
| 2024 | ACL | Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks. | Aditi Mishra, Sajjadur Rahman, Kushan Mitra, Hannah Kim, Estevam Hruschka |
| 2024 | CHI | Human-LLM Collaborative Annotation Through Effective Verification of LLM Labels. | Xinru Wang, Hannah Kim, Sajjadur Rahman, Kushan Mitra, Zhengjie Miao |
| 2024 | CIKM | Demonstration of a Multi-agent Framework for Text to SQL Applications with Large Language Models. | Chen Shen, Jin Wang, Sajjadur Rahman, Eser Kandogan |
| 2024 | EACL | MEGAnno+: A Human-LLM Collaborative Annotation System. | Hannah Kim, Kushan Mitra, Rafael Li Chen, Sajjadur Rahman, Dan Zhang |
| 2023 | CHI | Towards Transparent, Reusable, and Customizable Data Science in Computational Notebooks. | Frederick Choi, Sajjadur Rahman, Hannah Kim, Dan Zhang |
| 2023 | WWW | Weedle: Composable Dashboard for Data-Centric NLP in Computational Notebooks. | Nahyun Kwon, Hannah Kim, Sajjadur Rahman, Dan Zhang, Estevam Hruschka |
| 2022 | CHI | Characterizing Practices, Limitations, and Opportunities Related to Text Information Extraction Workflows: A Human-in-the-loop Perspective. | Sajjadur Rahman, Eser Kandogan |
| 2022 | EMNLP | Low-resource Interactive Active Labeling for Fine-tuning Language Models. | Seiji Maekawa, Dan Zhang, Hannah Kim, Sajjadur Rahman, Estevam Hruschka |
| 2022 | NAACL | Low-resource Entity Set Expansion: A Comprehensive Study on User-generated Text. | Yutong Shao, Nikita Bhutani, Sajjadur Rahman, Estevam Hruschka |
| 2021 | CIDR | Leam: An Interactive System for In-situ Visual Text Analysis. | Sajjadur Rahman, Peter Griggs, agatay Demiralp |
| 2020 | SIGMOD | Benchmarking Spreadsheet Systems. | Sajjadur Rahman, Kelly Mack, Mangesh Bendre, Ruilin Zhang, Karrie Karahalios, Aditya G. Parameswaran |
| 2019 | ICDE | 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 |