32 citations · 36 across the 3 of their papers we have counts for
3 papers
cs.CL2023
MEMORY-VQ: Compression for Tractable Internet-Scale Memory
Yury Zemlyanskiy, Michiel de Jong, Luke Vilnis +4
Retrieval augmentation is a powerful but expensive method to make language models more knowledgeable about the world. Memory-based methods like LUMEN pre-compute token representati…
cs.CL2021★ 4 cited
MAVE: A Product Dataset for Multi-source Attribute Value Extraction
Li Yang, Qifan Wang, Zac Yu +5
Attribute value extraction refers to the task of identifying values of an attribute of interest from product information. Product attribute values are essential in many e-commerce…
cs.AI2012★ 32 cited
An Empirical Comparison of Algorithms for Aggregating Expert Predictions
Varsha Dani, Omid Madani, David M Pennock +2
Predicting the outcomes of future events is a challenging problem for which a variety of solution methods have been explored and attempted. We present an empirical comparison of a…