research
∙
06/14/2023
Learning to Rank when Grades Matter
Graded labels are ubiquitous in real-world learning-to-rank applications...
share
research
∙
05/19/2023
Exploring the Viability of Synthetic Query Generation for Relevance Prediction
Query-document relevance prediction is a critical problem in Information...
research
∙
10/27/2022
QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation
Large Language Models (LLMs) have shown impressive results on a variety ...
research
∙
10/11/2022
Retrieval Augmentation for T5 Re-ranker using External Sources
Retrieval augmentation has shown promising improvements in different tas...
research
∙
04/17/2020
