Publications (6)
MIRAI: Prediction and Generation of High-Impact Academic Research
Alex Li, Joseph Jacobson
The rapid pace of scientific publishing has made the identification and synthesis of high-impact work an increasingly urgent challenge. We introduce MIRAI (Multi-year Inference of…
Large Scale Retrieval for the LinkedIn Feed using Causal Language Models
Sudarshan Srinivasa Ramanujam, Antonio Alonso, Saurabh Kataria +20
In large scale recommendation systems like the LinkedIn Feed, the retrieval stage is critical for narrowing hundreds of millions of potential candidates to a manageable subset for…
Unified Learning-to-Rank for Multi-Channel Retrieval in Large-Scale E-Commerce Search
Aditya Gaydhani, Guangyue Xu, Dhanush Kamath +2
Large-scale e-commerce search must surface a broad set of items from a vast catalog, ranging from bestselling products to new, trending, or seasonal items. Modern systems therefore…
Volatility Forecasting in Global Financial Markets Using TimeMixer
Alex Li
Predicting volatility in financial markets, including stocks, index ETFs, foreign exchange, and cryptocurrencies, remains a challenging task due to the inherent complexity and non-…
OxygenREC: An Instruction-Following Generative Framework for E-commerce Recommendation
Xuegang Hao, Ming Zhang, Alex Li +30
Traditional recommendation systems suffer from inconsistency in multi-stage optimization objectives. Generative Recommendation (GR) mitigates them through an end-to-end framework;…
TransPOS: Transformers for Consolidating Different POS Tagset Datasets
Alex Li, Ilyas Bankole-Hameed, Ranadeep Singh +2
In hope of expanding training data, researchers often want to merge two or more datasets that are created using different labeling schemes. This paper considers two datasets that l…