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Re-Ranking

Papers

Showing 501–525 of 743 papers

TitleStatusHype
Personalized Entity Search by Sparse and Scrutable User Profiles—0
Personalized Ranking in eCommerce Search—0
Personalized Re-ranking for Improving Diversity in Live Recommender Systems—0
Personalizing Fairness-aware Re-ranking—0
Person Re-ID through Unsupervised Hypergraph Rank Selection and Fusion—0
Automatic Extraction of Synonyms for German Particle Verbs from Parallel Data with Distributional Similarity as a Re-Ranking Feature—0
Phrase Based Language Model for Statistical Machine Translation: Empirical Study—0
Automatic Annotation of Machine Translation Datasets with Binary Quality Judgements—0
Plug, Play, and Fuse: Zero-Shot Joint Decoding via Word-Level Re-ranking Across Diverse Vocabularies—0
plWordNet in Word Sense Disambiguation task—0
Training-free Zero-shot Composed Image Retrieval with Local Concept Reranking—0
Police-In-The-Loop Person Re-identification—0
Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone—0
Transliteration Better than Translation? Answering Code-mixed Questions over a Knowledge Base—0
Automatic Acrostic Couplet Generation with Three-Stage Neural Network Pipelines—0
PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding—0
Predicting from a Different Perspective: A Re-ranking Model for Inductive Knowledge Graph Completion—0
Pre-training, Fine-tuning and Re-ranking: A Three-Stage Framework for Legal Question Answering—0
Pre-training Methods in Information Retrieval—0
TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition—0
AutoFAS: Automatic Feature and Architecture Selection for Pre-Ranking System—0
Word Confidence Estimation for SMT N-best List Re-ranking—0
Trustworthy Answers, Messier Data: Bridging the Gap in Low-Resource Retrieval-Augmented Generation for Domain Expert Systems—0
Advancing Re-Ranking with Multimodal Fusion and Target-Oriented Auxiliary Tasks in E-Commerce Search—0
Quality and Cost Trade-offs in Passage Re-ranking Task—0
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