AI & ML interests
None defined yet.
Recent Activity
Papers
HomeSafe-Bench: Evaluating Vision-Language Models on Unsafe Action Detection for Embodied Agents in Household Scenarios
DLLM-Searcher: Adapting Diffusion Large Language Model for Search Agents
RUC IIR Lab
Intelligent Information Retrieval Lab (IIR Lab)
Gaoling School of Artificial Intelligence
Renmin University of China
We are a research group working on AI-powered search, recommendation, large language models, and intelligent agents.
Our goal is to build the next generation of trustworthy AI systems for knowledge discovery and decision making, spanning information retrieval, recommender systems, LLM-based reasoning, and autonomous agents.
Research Areas
- š Intelligent Information Retrieval
- šÆ Recommender Systems & User Modeling
- š¤ Large Language Models for Search and Recommendation
- š§ LLM-based Agents and Autonomous Information Systems
- š”ļø Trustworthy AI, Hallucination Detection, and Interpretability
Vision
We aim to develop trustworthy intelligent agents that can reliably search, retrieve, reason, and interact with the world.
Our research bridges classical information retrieval and modern foundation models, enabling AI systems that can act as personal information assistants for knowledge exploration, decision support, and scientific discovery.
Links
š Lab Website: https://ruc-iir-lab.github.io/
š« Gaoling School of Artificial Intelligence, Renmin University of China
šØāš« Lab Director: Prof. Jun Xu