2 papers
cs.IR2026
LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval
Nilesh Gupta, Wei-Cheng Chang, Ngot Bui +2
Search systems are increasingly used for reasoning-intensive queries, where what makes a document relevant requires understanding or reasoning over the query-document relation rath…
cs.LG2025
Matryoshka Model Learning for Improved Elastic Student Models
Chetan Verma, Aditya Srinivas Timmaraju, Cho-Jui Hsieh +7
Industry-grade ML models are carefully designed to meet rapidly evolving serving constraints, which requires significant resources for model development. In this paper, we propose…