activity
20232026
most citedLLM As DBA

6 citations · 16 across the 25 of their papers we have counts for

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Showing 2026Show all

11 papers · 1 filter

cs.DB2026

Data Agents: Agentic Data Systems

Guoliang Li, Peiyao Zhou, Xuanhe Zhou +3

Traditional data systems face profound limitations in the AI era, relying on human-crafted pipelines, lacking semantic understanding of heterogeneous data, and operating through ri…

cs.CV2026

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing

Zhaokai Wang, Mingxin Liu, Zirun Zhu +11

Recent image generation and editing models can produce visually appealing natural images, yet they remain unreliable when the target image is a knowledge-intensive diagram whose co…

cs.IR2026

HiEviDR-Bench: A Benchmark for Hierarchical Evidence Aggregation in Deep Research

Yubo Sun, Chunyi Peng, Yukun Yan +6

Deep research requires models to retrieve, connect, and synthesize evidence from large-scale heterogeneous sources to answer complex queries and produce analytical reports. Existin…

cs.CL2026

UltraX: Refining Pre-Training Data at Scale with Adaptive Programmatic Editing

Xinlong Zhao, Dongsheng Liu, Hengyu Zhao +9

As available training data approaches its physical limit, gains from Scaling Laws have begun to diminish. Consequently, improving Large Language Models (LLMs) now depends less on d…

cs.AI2026

Workspace-Bench 1.0: Benchmarking AI Agents on Workspace Tasks with Large-Scale File Dependencies

Zirui Tang, Xuanhe Zhou, Yumou Liu +19

Workspace learning requires AI agents to identify, reason over, exploit, and update explicit and implicit dependencies among heterogeneous files in a worker's workspace, enabling t…

cs.DB2026

Automating Database-Native Function Code Synthesis with LLMs

Wei Zhou, Xuanhe Zhou, Qikang He +4

Database systems incorporate an ever-growing number of functions in their kernels (a.k.a., database native functions) for scenarios like new application support and business migrat…

cs.CV2026

GRADE: Benchmarking Discipline-Informed Reasoning in Image Editing

Mingxin Liu, Ziqian Fan, Zhaokai Wang +13

Unified multimodal models target joint understanding, reasoning, and generation, but current image editing benchmarks are largely confined to natural images and shallow commonsense…

cs.DB2026

Dial: A Knowledge-Grounded Dialect-Specific NL2SQL System

Xiang Zhang, Hongming Xu, Le Zhou +8

Enterprises commonly deploy heterogeneous database systems, each of which owns a distinct SQL dialect with different syntax rules, built-in functions, and execution constraints. Ho…

cs.AI2026

The Trinity of Consistency as a Defining Principle for General World Models

Jingxuan Wei, Siyuan Li, Yuhang Xu +21

The construction of World Models capable of learning, simulating, and reasoning about objective physical laws constitutes a foundational challenge in the pursuit of Artificial Gene…

cs.IR2026

MoDora: Tree-Based Semi-Structured Document Analysis System

Bangrui Xu, Qihang Yao, Zirui Tang +8

Semi-structured documents integrate diverse interleaved data elements (e.g., tables, charts, hierarchical paragraphs) arranged in various and often irregular layouts. These documen…

cs.DB2026

Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs

Wei Zhou, Jun Zhou, Haoyu Wang +16

Data preparation aims to denoise raw datasets, uncover cross-dataset relationships, and extract valuable insights from them, which is essential for a wide range of data-centric app…