Yutao Zhu
- Papers
- 31
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Authored papers
31EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis
arXiv 2026
Agentic-R: Learning to Retrieve for Agentic Search
arXiv 2026
LaSER: Internalizing Explicit Reasoning into Latent Space for Dense Retrieval
arXiv 2026
GISA: A Benchmark for General Information-Seeking Assistant
arXiv 2026
DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories
arXiv 2026
Agentic Reinforced Policy Optimization
arXiv 2025
DeepAgent: A General Reasoning Agent with Scalable Toolsets
arXiv 2025
WebThinker: Empowering Large Reasoning Models with Deep Research Capability
arXiv 2025
Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning
arXiv 2025
mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data
arXiv 2025
Hierarchical Document Refinement for Long-context Retrieval-augmented Generation
arXiv 2025
Search-o1: Agentic Search-Enhanced Large Reasoning Models
arXiv 2025
Decoupled Planning and Execution: A Hierarchical Reasoning Framework for Deep Search
arXiv 2025
Agentic Entropy-Balanced Policy Optimization
arXiv 2025
ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability
arXiv 2025
FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research
arXiv 2024
Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models
arXiv 2024
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs
arXiv 2024
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning
arXiv 2024
Towards Effective and Efficient Continual Pre-training of Large Language Models
arXiv 2024
YuLan: An Open-source Large Language Model
arXiv 2024
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation
arXiv 2024
YuLan-Mini: An Open Data-efficient Language Model
arXiv 2024
From Matching to Generation: A Survey on Generative Information Retrieval
arXiv 2024
Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
arXiv 2024
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models
arXiv 2024
Little Giants: Synthesizing High-Quality Embedding Data at Scale
arXiv 2024
Large Language Models for Information Retrieval: A Survey
arXiv 2023
A Text-guided Protein Design Framework
arXiv 2023
One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles
arXiv 2021
Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking
arXiv 2021
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