Jingyuan He — accepted AI-conference papers

2025

ORBIT - Open Recommendation Benchmark for Reproducible Research with Hidden Tests

Jingyuan He, Jiongnan Liu, Vishan Vishesh Oberoi, Bolin Wu, Mahima Jagadeesh Patel, Kangrui Mao +4

NeurIPS 2025poster

Recommender systems are among the most impactful AI applications, interacting with billions of users every day, guiding them to relevant products, services, or information tailored to their preferences. However, the research and development of recommender systems are hindered by existing datasets th…

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2024

RAGViz: Diagnose and Visualize Retrieval-Augmented Generation

Tevin Wang, Jingyuan He, Chenyan Xiong

EMNLP 2024system demonstrations

Retrieval-augmented generation (RAG) combines knowledge from domain-specific sources into large language models to ground answer generation. Current RAG systems lack customizable visibility on the context documents and the model’s attentiveness towards such documents. We propose RAGViz, a RAG diagno…

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