Learning-To-Rank

Learning to rank is the application of machine learning to build ranking models. Some common use cases for ranking models are information retrieval (e.g., web search) and news feeds application (think Twitter, Facebook, Instagram).

Papers

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Showing 1–25 of 753 papers

Title	Date	Tasks	Status	Hype	Score
Step-level Value Preference Optimization for Mathematical Reasoning	Jun 16, 2024	Learning-To-RankMath	CodeCode Available	3	5
LibAUC: A Deep Learning Library for X-Risk Optimization	Jun 5, 2023	BenchmarkingClassification	CodeCode Available	2	5
VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rank	May 20, 2025	Image GenerationImage Quality Assessment	CodeCode Available	2	5
Efficient LLM Scheduling by Learning to Rank	Aug 28, 2024	BlockingChatbot	CodeCode Available	2	5
Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models	Jun 21, 2024	Learning-To-RankPassage Ranking	CodeCode Available	2	5
FIRST: Faster Improved Listwise Reranking with Single Token Decoding	Jun 21, 2024	Information RetrievalLanguage Modeling	CodeCode Available	2	5
Learning-to-Rank at the Speed of Sampling: Plackett-Luce Gradient Estimation With Minimal Computational Complexity	Apr 22, 2022	Learning-To-Rank	CodeCode Available	1	5
Learning to Blindly Assess Image Quality in the Laboratory and Wild	Jul 1, 2019	Image Quality AssessmentLearning-To-Rank	CodeCode Available	1	5
Learning to Rank in Generative Retrieval	Jun 27, 2023	Learning-To-RankPassage Ranking	CodeCode Available	1	5
Hierarchical Entity Typing via Multi-level Learning to Rank	Apr 5, 2020	DecoderEntity Typing	CodeCode Available	1	5
Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks	Nov 11, 2018	Learning-To-Rank	CodeCode Available	1	5
Learning Latent Vector Spaces for Product Search	Aug 25, 2016	Learning-To-Rankparameter estimation	CodeCode Available	1	5
Context-Aware Learning to Rank with Self-Attention	May 20, 2020	Learning-To-Rank	CodeCode Available	1	5
On the Relationship between Explanation and Recommendation: Learning to Rank Explanations for Improved Performance	Feb 1, 2021	Learning-To-RankRecommendation Systems	CodeCode Available	1	5
GLEN: Generative Retrieval via Lexical Index Learning	Nov 6, 2023	Learning-To-RankRetrieval	CodeCode Available	1	5
ILMART: Interpretable Ranking with Constrained LambdaMART	Jun 1, 2022	Learning-To-Rank	CodeCode Available	1	5
An Efficient Approach for Cross-Silo Federated Learning to Rank	Jun 21, 2021	Federated LearningLearning-To-Rank	CodeCode Available	1	5
DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems	Aug 19, 2020	Click-Through Rate PredictionLearning-To-Rank	CodeCode Available	1	5
Enhancing Cross-Sectional Currency Strategies by Context-Aware Learning to Rank with Self-Attention	May 20, 2021	Information RetrievalLearning-To-Rank	CodeCode Available	1	5
Dual-Branch Network for Portrait Image Quality Assessment	May 14, 2024	Face Image Quality AssessmentImage Quality Assessment	CodeCode Available	1	5
Gradient Boosting Neural Networks: GrowNet	Feb 19, 2020	Learning-To-Rankregression	CodeCode Available	1	5
A Reference-less Quality Metric for Automatic Speech Recognition via Contrastive-Learning of a Multi-Language Model with Self-Supervision	Jun 21, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1	5
Accelerated Convergence for Counterfactual Learning to Rank	May 21, 2020	counterfactualLearning-To-Rank	CodeCode Available	1	5
L2R2: Leveraging Ranking for Abductive Reasoning	May 22, 2020	Language ModellingLearning-To-Rank	CodeCode Available	1	5
A Large Scale Search Dataset for Unbiased Learning to Rank	Jul 7, 2022	Causal DiscoveryLanguage Modelling	CodeCode Available	1	5

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