MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
NeurIPS 2025 | November 2025
Publications
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Table-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri
EMNLP 2025 | November 2025
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Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search
Shuocheng Li, Yihao Liu, Silin Du, Wenxuan Zeng, Zhe Xu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
AAAI 2026 | September 2025
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Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence
Eugenie Y. Lai, Yeye He, Surajit Chaudhuri
VLDB 2025 | September 2025
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TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL ’25) | July 2025
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Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables
Qixu Chen, Yeye He (yeyehe), Raymond Chi-Wing Wong, Weiwei Cui, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2025 | June 2025
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SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Haoyu Dong, Yuzhang Tian, Jianbo Zhao, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024
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Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations
Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
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Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
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Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph
Yiming Lin, Yeye He, Surajit Chaudhuri
VLDB 2023 | August 2023
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Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples
Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
VLDB 2023 | August 2023
Best Paper Award
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Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
KDD 2023 | August 2023
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Predicate Pushdown for Data Science Pipelines
Cong Yan, Yin Lin, Yeye He
SIGMOD | June 2023
Best Paper Award
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PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
VLDB 2022 | February 2022
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Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
Junwen Yang, Yeye He, Surajit Chaudhuri
VLDB 2021 | July 2021
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Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples
Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
SIGMOD 2021 | April 2021
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Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes
Jie Song, Yeye He
SIGMOD 2021 | April 2021
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Auto-Transform: Learning-to-Transform by Patterns
Zhongjun Jin, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2020
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Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks
Cong Yan, Yeye He
International Conference on Management of Data (SIGMOD) | June 2020
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Customizable and Scalable Fuzzy Join for Big Data
Zhimin Chen, Yue Wang, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Data Bases (PVLDB) | August 2019
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Uni-Detect: A Unified Approach to Automated Error Detection in Tables
Pei Wang, Yeye He
International Conference on Management of Data (SIGMOD) | July 2019
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Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning
Chen Zhao, Yeye He
WWW – World Wide Web Consortium (W3C) | May 2019
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Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations
Yeye He, Kris Ganjam, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2018
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Auto-Detect: Data-Driven Error Detection in Tables
Zhipeng Huang, Yeye He
International Conference on Management of Data (SIGMOD) | June 2018
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Auto-Type: Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code
Cong Yan, Yeye He
International Conference on Management of Data (SIGMOD) | June 2018
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Auto-Join: Joining Tables by Leveraging Transformations
Erkang Zhu, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | May 2017
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Auto-Map: Synthesizing Mapping Relationships Using Table Corpus
Yue Wang, Yeye He
International Conference on Management of Data (SIGMOD) | May 2017
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MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
NeurIPS 2025 | November 2025
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Table-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri
EMNLP 2025 | November 2025
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TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL ’25) | July 2025
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Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
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Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations
Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
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MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
NeurIPS 2025 | November 2025
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Table-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri
EMNLP 2025 | November 2025
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Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search
Shuocheng Li, Yihao Liu, Silin Du, Wenxuan Zeng, Zhe Xu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
AAAI 2026 | September 2025
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Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence
Eugenie Y. Lai, Yeye He, Surajit Chaudhuri
VLDB 2025 | September 2025
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TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL ’25) | July 2025
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Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables
Qixu Chen, Yeye He (yeyehe), Raymond Chi-Wing Wong, Weiwei Cui, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2025 | June 2025
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SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Haoyu Dong, Yuzhang Tian, Jianbo Zhao, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024
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Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
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Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations
Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
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Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples
Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
VLDB 2023 | August 2023
Best Paper Award
-
Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
KDD 2023 | August 2023
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Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph
Yiming Lin, Yeye He, Surajit Chaudhuri
VLDB 2023 | August 2023
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Predicate Pushdown for Data Science Pipelines
Cong Yan, Yin Lin, Yeye He
SIGMOD | June 2023
Best Paper Award
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PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
VLDB 2022 | February 2022
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Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
Junwen Yang, Yeye He, Surajit Chaudhuri
VLDB 2021 | July 2021
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Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes
Jie Song, Yeye He
SIGMOD 2021 | April 2021
-
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples
Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
SIGMOD 2021 | April 2021
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Auto-Transform: Learning-to-Transform by Patterns
Zhongjun Jin, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2020
-
Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks
Cong Yan, Yeye He
International Conference on Management of Data (SIGMOD) | June 2020
-
Customizable and Scalable Fuzzy Join for Big Data
Zhimin Chen, Yue Wang, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Data Bases (PVLDB) | August 2019
-
Uni-Detect: A Unified Approach to Automated Error Detection in Tables
Pei Wang, Yeye He
International Conference on Management of Data (SIGMOD) | July 2019
-
Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning
Chen Zhao, Yeye He
WWW – World Wide Web Consortium (W3C) | May 2019
-
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations
Yeye He, Kris Ganjam, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2018
-
Auto-Detect: Data-Driven Error Detection in Tables
Zhipeng Huang, Yeye He
International Conference on Management of Data (SIGMOD) | June 2018
-
Auto-Type: Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code
Cong Yan, Yeye He
International Conference on Management of Data (SIGMOD) | June 2018
-
Auto-Join: Joining Tables by Leveraging Transformations
Erkang Zhu, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | May 2017
-
Auto-Map: Synthesizing Mapping Relationships Using Table Corpus
Yue Wang, Yeye He
International Conference on Management of Data (SIGMOD) | May 2017
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MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
NeurIPS 2025 | November 2025
-
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL ’25) | July 2025
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-
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL ’25) | July 2025
-
PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
VLDB 2022 | February 2022
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MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
NeurIPS 2025 | November 2025
-
Table-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri
EMNLP 2025 | November 2025
-
Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search
Shuocheng Li, Yihao Liu, Silin Du, Wenxuan Zeng, Zhe Xu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
AAAI 2026 | September 2025
-
Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence
Eugenie Y. Lai, Yeye He, Surajit Chaudhuri
VLDB 2025 | September 2025
-
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
Xinyi He, Yihao Liu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL ’25) | July 2025
-
Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables
Qixu Chen, Yeye He (yeyehe), Raymond Chi-Wing Wong, Weiwei Cui, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2025 | June 2025
-
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Haoyu Dong, Yuzhang Tian, Jianbo Zhao, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024
-
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
-
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations
Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
-
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples
Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
VLDB 2023 | August 2023
Best Paper Award
-
Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
KDD 2023 | August 2023
-
Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph
Yiming Lin, Yeye He, Surajit Chaudhuri
VLDB 2023 | August 2023
-
Predicate Pushdown for Data Science Pipelines
Cong Yan, Yin Lin, Yeye He
SIGMOD | June 2023
Best Paper Award
-
PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
VLDB 2022 | February 2022
-
Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
Junwen Yang, Yeye He, Surajit Chaudhuri
VLDB 2021 | July 2021
-
Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes
Jie Song, Yeye He
SIGMOD 2021 | April 2021
-
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples
Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
SIGMOD 2021 | April 2021
-
Auto-Transform: Learning-to-Transform by Patterns
Zhongjun Jin, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2020
-
Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks
Cong Yan, Yeye He
International Conference on Management of Data (SIGMOD) | June 2020
-
Customizable and Scalable Fuzzy Join for Big Data
Zhimin Chen, Yue Wang, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Data Bases (PVLDB) | August 2019
-
Uni-Detect: A Unified Approach to Automated Error Detection in Tables
Pei Wang, Yeye He
International Conference on Management of Data (SIGMOD) | July 2019
-
Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning
Chen Zhao, Yeye He
WWW – World Wide Web Consortium (W3C) | May 2019
-
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations
Yeye He, Kris Ganjam, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2018
-
Auto-Detect: Data-Driven Error Detection in Tables
Zhipeng Huang, Yeye He
International Conference on Management of Data (SIGMOD) | June 2018
-
Auto-Type: Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code
Cong Yan, Yeye He
International Conference on Management of Data (SIGMOD) | June 2018
-
Auto-Join: Joining Tables by Leveraging Transformations
Erkang Zhu, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | May 2017
-
Auto-Map: Synthesizing Mapping Relationships Using Table Corpus
Yue Wang, Yeye He
International Conference on Management of Data (SIGMOD) | May 2017
-