| Nov 2, 2024 |  [SIGMOD 2025] Paper “Automatic Database Configuration Debugging using Retrieval-Augmented Language Models” was accepted. |
| Sep 26, 2024 | [NeurIPS 2024] Two papers, “Are Large Language Models Good Statisticians?” and “CRAG - Comprehensive RAG Benchmark”, were accepted by NeurIPS 2024 Datasets and Benchmarks Track. |
| Sep 20, 2024 | [EMNLP 2024] Two papers, “ MAR: Matching-Augmented Reasoning for Enhancing Visual-based Entity Question Answering” (main) and “ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering” (findings), were accepted. |
| Jul 15, 2024 | [VLDB 2024] Six papers, (1) “MisDetect: Iterative Mislabel Detection using Early Loss”, (2) “LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes”, (3)”Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL”, (4) “Are Large Language Models a Good Replacement of Taxonomies?”, (5) “HAIChart: Human and AI Paired Visualization System”, (6) “The Dawn of Natural Language to SQL: Are We Fully Ready?”, and two demos, (i) “Retrieval-Based Tabular Data Cleaning Using LLMs and Data Lake”, (ii) “LakeCompass: An End-to-End System for Table Maintenance, Search and Analysis in Data Lakes”, were accepted. |
| Mar 18, 2024 | [SIGMOD 2024] Paper “Controllable Tabular Data Synthesis Using Diffusion Models” and two demos, “IDE: A System for Iterative Mislabel Detection” and “CHatPipe: Orchestrating Data Preparation Pipelines by Optimizing Human-ChatGPT Interactions” were accepted. |
| Mar 10, 2024 | [ICDE 2024] Two papers, “Mitigating Data Scarcity in Supervised Machine Learning through Reinforcement Learning Guided Data Generation” and “Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration”, were accepted. |
| Mar 8, 2024 |  [KDD Cup 2024] Our proposal “CRAG–Comprehensive RAG Benchmark and Challenge”, co-hosted with Meta Reality Lab, was accepted. |
| Dec 16, 2023 |  [2024 SIGMOD Research Highlight Award] Paper “Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration” [Best of SIGMOD 2023] Paper “GoodCore: Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data”. |
| Nov 16, 2023 | [Best of SIGMOD 2023] Paper “GoodCore: Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data”. |
| Oct 7, 2023 | [CIDR 2024] Paper VerifAI: Verified Generative AI was accepted. |
| Oct 1, 2023 | Ph.D. positions available for 2024 spring/fall  |