We have 5 of 63 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Traditional data systems face profound limitations in the AI era, relying on human-crafted pipelines, lacking semantic understanding of heterogeneous data, and operating through rigid, reactive processing. To address these challenges, we propose a new paradigm called the Data Agent, designed to manage, process, and ana...
Recent advances in large language models (LLMs) have led to the emergence of autonomous agents as a transformative paradigm for building intelligent AI systems, integrating reasoning, planning, tool use, and interaction capabilities to tackle complex, open-ended tasks. Despite their growing sophistication, most agents...
Database kernels continuously incorporate new built-in functions to support diverse applications. Synthesizing these native functions is highly complex, as it requires identifying multiple internal units, placing them in the correct source files, and reusing specific internal references. Although recent advancement i...
Deep research requires models to retrieve, connect, and synthesize evidence from large-scale heterogeneous sources to answer complex queries and produce analytical reports. Existing benchmarks mainly evaluate final outcomes, such as answer correctness, report quality, or citation alignment, while providing limited visi...
UltraX is proposed, a function-calling refinement framework for large-scale pre-training data that completes the editing function space by introducing insertion in addition to deletion and modification, enabling fine-grained instance-level editing.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
