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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

TitleStatusHype
Step-level Value Preference Optimization for Mathematical ReasoningCode3
VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to RankCode2
Efficient LLM Scheduling by Learning to RankCode2
Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language ModelsCode2
FIRST: Faster Improved Listwise Reranking with Single Token DecodingCode2
LibAUC: A Deep Learning Library for X-Risk OptimizationCode2
Kamae: Bridging Spark and Keras for Seamless ML PreprocessingCode1
Ranking-aware adapter for text-driven image ordering with CLIPCode1
TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman ModelCode1
MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation SystemsCode1
Offline Model-Based Optimization by Learning to RankCode1
Modeling User Retention through Generative Flow NetworksCode1
Dual-Branch Network for Portrait Image Quality AssessmentCode1
Metasql: A Generate-then-Rank Framework for Natural Language to SQL TranslationCode1
LiPO: Listwise Preference Optimization through Learning-to-RankCode1
GLEN: Generative Retrieval via Lexical Index LearningCode1
MIST-CF: Chemical formula inference from tandem mass spectraCode1
Learning to Rank in Generative RetrievalCode1
Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal ClassificationCode1
A Reference-less Quality Metric for Automatic Speech Recognition via Contrastive-Learning of a Multi-Language Model with Self-SupervisionCode1
NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive LearningCode1
RankFormer: Listwise Learning-to-Rank Using Listwide LabelsCode1
RankCSE: Unsupervised Sentence Representations Learning via Learning to RankCode1
THUIR@COLIEE 2023: Incorporating Structural Knowledge into Pre-trained Language Models for Legal Case RetrievalCode1
THUIR@COLIEE 2023: More Parameters and Legal Knowledge for Legal Case EntailmentCode1
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