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CMDBench: A Benchmark for Coarse-to-fine Multimodal Data Discovery in Compound AI Systems
Yanlin Feng, Sajjadur Rahman, Aaron Feng +2
Compound AI systems (CASs) that employ LLMs as agents to accomplish knowledge-intensive tasks via interactions with tools and data retrievers have garnered significant interest wit…
Towards Productionizing Subjective Search Systems
Aaron Feng, Shuwei Chen, Yuliang Li +3
Existing e-commerce search engines typically support search only over objective attributes, such as price and locations, leaving the more desirable subjective attributes, such as r…
Voyageur: An Experiential Travel Search Engine
Sara Evensen, Aaron Feng, Alon Halevy +10
We describe Voyageur, which is an application of experiential search to the domain of travel. Unlike traditional search engines for online services, experiential search focuses on…
Subjective Databases
Yuliang Li, Aaron Xixuan Feng, Jinfeng Li +4
Online users are constantly seeking experiences, such as a hotel with clean rooms and a lively bar, or a restaurant for a romantic rendezvous. However, e-commerce search engines on…
Scalable Semantic Querying of Text
Xiaolan Wang, Aaron Feng, Behzad Golshan +4
We present the KOKO system that takes declarative information extraction to a new level by incorporating advances in natural language processing techniques in its extraction langua…