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Showing 301–325 of 743 papers

TitleStatusHype
Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers—0
Evaluating Embedding APIs for Information Retrieval—0
Co-BERT: A Context-Aware BERT Retrieval Model Incorporating Local and Query-specific Context—0
Coarse-grained Candidate Generation and Fine-grained Re-ranking for Chinese Abbreviation Prediction—0
Attention-based neural re-ranking approach for next city in trip recommendations—0
Entity Summarization: State of the Art and Future Challenges—0
CNN Retrieval based Unsupervised Metric Learning for Near-Duplicated Video Retrieval—0
Entity Linking via Explicit Mention-Mention Coreference Modeling—0
Cluster-Aware Similarity Diffusion for Instance Retrieval—0
A Three-step Method for Multi-Hop Inference Explanation Regeneration—0
Analyzing and Learning from User Interactions for Search Clarification—0
Ensuring User-side Fairness in Dynamic Recommender Systems—0
Enhancing Self-Disclosure In Neural Dialog Models By Candidate Re-ranking—0
ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish—0
Enhancing Scientific Reproducibility Through Automated BioCompute Object Creation Using Retrieval-Augmented Generation from Publications—0
Enhancing Retrieval Performance: An Ensemble Approach For Hard Negative Mining—0
A Thorough Comparison of Cross-Encoders and LLMs for Reranking SPLADE—0
Enhancing Recommendation Diversity by Re-ranking with Large Language Models—0
Enhancing Legal Document Retrieval: A Multi-Phase Approach with Large Language Models—0
Enhancing Documents with Multidimensional Relevance Statements in Cross-encoder Re-ranking—0
A Technical Report for ICCV 2021 VIPriors Re-identification Challenge—0
English-Korean Named Entity Transliteration Using Substring Alignment and Re-ranking Methods—0
Checkpoint Reranking: An Approach to Select Better Hypothesis for Neural Machine Translation Systems—0
Empowering Language Model with Guided Knowledge Fusion for Biomedical Document Re-ranking—0
Cheb-GR: Rethinking K-nearest Neighbor Search in Re-ranking for Person Re-identification—0
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