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Information Intelligence (Haitao Yu) Lab
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A lab exploring technologies that help people trust information, through information retrieval and generative AI.
AboutAbout the lab
Aiming for trustworthy AI, with information retrieval at its core.
The Information Intelligence Lab (II-Research) studies the intersection of information retrieval, artificial intelligence, and human-centered computing.
It aims to build intelligent systems that support access to useful information, reasoning grounded in reliable evidence, and better decision-making.
Combining fundamental research with practical system development, the lab works on search and ranking, retrieval-augmented generation, multimodal learning, knowledge graphs, and more.
The lab values rigorous evaluation, open collaboration, and research that considers both technical performance and societal impact.
Key terms
- Retrieval-augmented generation
- A method that generates text using evidence obtained through retrieval, reducing inaccurate or ungrounded content from language models
- Multimodal
- An approach that aligns and handles different types of data (modalities), such as text, images, audio, and video
- Knowledge graph
- A representation of knowledge that organizes entities, concepts, and their relationships into a structure
NewsLab news
Paper on understanding events and human values in news articles accepted at Information Processing & Management
Paper on commonsense reasoning with retrieval-augmented diffusion language models accepted at Information Sciences
Paper on privacy-preserving knowledge tracing accepted at IEEE SMC 2026
Paper on adaptive retrieval-augmented generation with reinforcement learning accepted at ACM ICTIR 2026
Demo paper on an introductory framework for retrieval-augmented generation accepted at SIGIR 2026
ResearchResearch themes
The lab studies technologies that help people discover, understand, and trust information, working across information retrieval, generative AI, multimodal learning, knowledge representation, and human-centered computing.
*Illustrative imageTrustworthy information retrieval
Search systems greatly influence how people acquire knowledge and make decisions. The lab studies retrieval technologies that are effective, transparent, privacy-preserving, and robust, targeting digital libraries, news, healthcare, patents, e-commerce, and more.
*Illustrative imageAI-powered search
The lab studies search systems that use large language models to support expressing information needs, retrieving evidence, synthesizing information, and carrying out complex search tasks.
*Illustrative imagePrivacy-preserving search
Search logs contain information useful for improving systems, but they may also contain personal information. The lab studies learning and retrieval methods that balance user privacy with search performance.
*Illustrative imageMultimodal information retrieval
The lab works on aligning different types of data, such as text, images, audio, and video, to enable richer, context-aware retrieval.
MembersFaculty
The members of the Information Intelligence Lab consist of faculty, visiting students, and doctoral, master's, and undergraduate students.As of 2026
- Associate ProfessorHaitao Yu
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Card catalog at the Indiana State Library - interior view of catalog cards” TBurmeister (WMF) / CC BY-SA 4.0 (cropped)
- Trustworthy information retrieval: “Information-Retrieval” Dominik Kuropka / Public domain (cropped)
- AI-powered search: “Artificial Intelligence relation to Generative Models subset, Venn diagram” The Original Benny C / CC BY-SA 4.0 (cropped)
- Privacy-preserving search: “Shredded Paper” Aldude999 / CC BY-SA 3.0 (cropped)
- Multimodal information retrieval: “Yuen Chau Kok Public Library Multimedia Library 2017” Wpcpey / CC BY-SA 4.0 (cropped)
- Related lab (Human Information Interaction Lab (Hideo Joho)): “Photograph of West Search Room and Library - DPLA - 7c2b6f10cd5bcfdf7cb2b52f200d74ce” General Services Administration. National Archives and Records Service. Office of Educational Programs. Education Division. ?-4/1/1985 / Public domain (cropped)
- Related lab (Data Retrieval Lab): “Hard disk drive platter, Samsung MP0402H” Mk2010 / CC BY 4.0 (cropped)
- Related lab (Choice Behavior Model Lab): “Newspaper Achieve of Jamuna Television 2014” Aashaa / CC BY-SA 3.0 (cropped)
- Related lab (Information Law Lab (Koya Takara)): “Kosovo Security Force - Cyber security” Sgt. Samantha Hircock / Public domain (cropped)
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