Dan Zhang

According to our database, Dan Zhang authored at least 19 papers between 2020 and 2025.

Collaborative distances:

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

2025

AIPOM: Agent-aware Interactive Planning for Multi-Agent Systems.

Hannah Kim, Kushan Mitra, Chen Shen, Dan Zhang, Estevam Hruschka

CoRR, September, 2025

RECAP: REwriting Conversations for Intent Understanding in Agentic Planning.

Kushan Mitra, Dan Zhang, Hannah Kim, Estevam Hruschka

CoRR, September, 2025

VeriLA: A Human-Centered Evaluation Framework for Interpretable Verification of LLM Agent Failures.

Yoo Yeon Sung, Hannah Kim, Dan Zhang

CoRR, March, 2025

Orchestrating Agents and Data for Enterprise: A Blueprint Architecture for Compound AI.

Eser Kandogan, Nikita Bhutani, Dan Zhang, Rafael Li Chen, Sairam Gurajada, Estevam Hruschka

Proceedings of the 41st IEEE International Conference on Data Engineering, ICDE 2025, 2025

FactLens: Benchmarking Fine-Grained Fact Verification.

Kushan Mitra, Dan Zhang, Sajjadur Rahman, Estevam Hruschka

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Retrieval Augmented Generation in the Wild: A System 2 Perspective.

Sajjadur Rahman, Dan Zhang, Nikita Bhutani, Estevam Hruschka, Eser Kandogan

IEEE Data Eng. Bull., 2024

Snippet-based Conversational Recommender System.

Haibo Sun, Naoki Otani, Hannah Kim, Dan Zhang, Nikita Bhutani

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

LLM-assisted Labeling Function Generation for Semantic Type Detection.

Chenjie Li, Dan Zhang, Jin Wang

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 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

2023

Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning.

Grace Fan, Jin Wang, Yuliang Li, Dan Zhang, Renée J. Miller

Proc. VLDB Endow., 2023

Towards Multifaceted Human-Centered AI.

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

CoRR, 2023

MEGAnno: Exploratory Labeling for NLP in Computational Notebooks.

Dan Zhang, Hannah Kim, Rafael Li Chen, Eser Kandogan, Estevam Hruschka

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

Annotating Columns with Pre-trained Language Models.

Yoshihiko Suhara, Jinfeng Li, Yuliang Li, Dan Zhang, Çagatay Demiralp, Chen Chen, Wang-Chiew Tan

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 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

2020

Sato: Contextual Semantic Type Detection in Tables.

Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çagatay Demiralp, Wang-Chiew Tan

Proc. VLDB Endow., 2020