Zhewei Yao

Bridging Databases and Documents: Data-Algorithm Co-Design for Hybrid Question Answering

MidTool: Mid-training Data Synthesis for Agentic Tool Use

This work presents MidTool, an open corpus construction pipeline for agentic tool-use mid-training that combines large-scale web, PDF, and code data with synthesized supervision from real-world tool APIs, MCP skills, and document-grounded workflows and suggests that general tool use, like other important LLM capabiliti...

Benchmarking Hybrid Deep Research Across Database Querying and Web Search

Results show that directional reasoning is substantially more difficult than parallel intersection, highlighting that bridging structured and unstructured information spaces without losing constraints remains a major open challenge for agentic systems.

ArcticSwarm: Deferring Early Consensus in Long-Horizon Multi-Agent Research

The results show that restricting peer reads during evidence gathering and strengthening commitment boundaries before a hypothesis is shared can broaden search and improve long-horizon multi-agent deep research.

Spider 2.0-AIFunc: Extending Real-World Text-to-SQL to AI-Native SQL Workflows

This work introduces Spider 2.0-AIFunc, a benchmark of 465 verified instances across 125 real-world databases covering six types of AI functions on the Snowflake platform, and finds that the strongest proprietary models reach 67-70% execution accuracy while the best open-source model achieves 58.1%, a gap driven primar...

The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflows

ReASearch is presented, a unified framework for reasoning-driven optimization in which the agent autonomously decides what to evaluate, how to diagnose failures, which edits to make, and when to verify or restart.