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Re-Ranking

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Showing 576–600 of 743 papers

TitleStatusHype
Re-ranking Person Re-identification with k-reciprocal Encoding—0
Re-Ranking Step by Step: Investigating Pre-Filtering for Re-Ranking with Large Language Models—0
Re-ranking the Context for Multimodal Retrieval Augmented Generation—0
Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms—0
Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification—0
Re-ranking With Constraints on Diversified Exposures for Homepage Recommender System—0
AdapNet: Adaptive Noise-Based Network for Low-Quality Image Retrieval—0
RescoreBERT: Discriminative Speech Recognition Rescoring with BERT—0
PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising Serving—0
Response Generation Based on Hierarchical Semantic Structure with POMDP Re-ranking for Conversational Dialogue Systems—0
ADAM: Autonomous Discovery and Annotation Model using LLMs for Context-Aware Annotations—0
Rethinking of the Image Salient Object Detection: Object-level Semantic Saliency Re-ranking First, Pixel-wise Saliency Refinement Latter—0
Retrieval Augmentation for T5 Re-ranker using External Sources—0
Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion—0
Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering—0
Retrieve and Re-rank: A Simple and Effective IR Approach to Simple Question Answering over Knowledge Graphs—0
UNIMIB at TREC 2021 Clinical Trials Track—0
Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems—0
Revisit Recommender System in the Permutation Prospective—0
University of Washington at TREC 2020 Fairness Ranking Track—0
Direct Preference Optimization for LLM-Enhanced Recommendation Systems—0
A Study on Passage Re-ranking in Embedding based Unsupervised Semantic Search—0
A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints—0
Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling—0
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking—0
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