Yong Jiang

WebWeaver: Structuring Web-Scale Evidence with Dynamic Outlines for Open-Ended Deep Research

Demystifying Deep Search: A Holistic Evaluation with Hint-free Multi-Hop Questions and Factorised Metrics

Scaling Generalist Data-Analytic Agents

Empowering Efficiency and Efficacy in WebAgent via Enabling Info-Rich Seeking

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Expanding the Capability Frontier of LLM Agents with ZPD-Guided Data Synthesis

WebWatcher: Breaking New Frontiers of Vision-Language Deep Research Agent

AgentFold: Long-Horizon Web Agents with Proactive Context Folding

MaskSearch: Towards Scalable Agentic Pre-Training for Search-Enhanced Reasoning

Efficient Multimodal Planning Agent for Visual Question-Answering

ZeroSearch: Incentivize the Search Capability of LLMs without Searching

Route Before Retrieve: Activating Latent Routing Abilities of LLMs for RAG vs. Long Context Selection

Repurposing Synthetic Data for Fine-grained Search Agent Supervision

WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning

Scaling Agents via Continual Pre-training

AutoHete: An Automatic and Efficient Heterogeneous Training System for LLMs

ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization

IterResearch: Rethinking Long-Horizon Agents with Interaction Scaling

Towards General Agentic Intelligence via Environment Scaling

MARS: Optimizing Dual-System Deep Research via Multi-Agent Reinforcement Learning

DynamicBench: Evaluating Real-Time Report Generation in Large Language Models

End-to-End QA Construction Pipeline for Continual Pre-training of Large Language Models

WebSailor: Navigating Super-human Reasoning for Web Agent

WebDancer: Towards Autonomous Information Seeking Agency

Benchmarking Agentic Workflow Generation

Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent

LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs – No Silver Bullet for LC or RAG Routing

Exploring Knowledge Boundaries in Large Language Models for Retrieval Judgment