Jingren Zhou

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

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

AgentFold: Long-Horizon Web Agents with Proactive Context Folding

Beyond Magnitude: Leveraging Direction of RLVR Updates for LLM Reasoning

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

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

On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting

ZeroSearch: Incentivize the Search Capability of LLMs without Searching

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

Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs

WorldPM: Understanding Scaling Patterns in Human Preference Modeling

BOTS: A Unified Framework for Bayesian Online Task Selection in LLM Reinforcement Finetuning

IterResearch: Rethinking Long-Horizon Agents with Interaction Scaling

ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization

Towards General Agentic Intelligence via Environment Scaling

MixLLM: Selecting Large Language Models with High-Quality Results and Minimum Inference Cost for Multi-Stage Complex Tasks

WebSailor: Navigating Super-human Reasoning for Web Agent

Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models

WebDancer: Towards Autonomous Information Seeking Agency

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models

Provable Scaling Laws for the Test-Time Compute of Large Language Models

ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer

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

Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development

Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference

Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development

Group Diffusion Transformers are Unsupervised Multitask Learners

Language Models can Self-Lengthen to Generate Long Texts

Aligning Large Language Models via Self-Steering Optimization

On the Design and Analysis of LLM-Based Algorithms

Very Large-Scale Multi-Agent Simulation with LLM-Powered Agents