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Showing 426–450 of 743 papers

TitleStatusHype
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
Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems—0
Revisit Recommender System in the Permutation Prospective—0
Direct Preference Optimization for LLM-Enhanced Recommendation Systems—0
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking—0
RRADistill: Distilling LLMs' Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine—0
Samsung R&D Institute Poland submission to WMT20 News Translation Task—0
SAMURAI: Shape-Aware Multimodal Retrieval for 3D Object Identification—0
SA-Person: Text-Based Person Retrieval with Scene-aware Re-ranking—0
Scalable graph-based individual named entity identification—0
Scalable Unit Harmonization in Medical Informatics Using Bi-directional Transformers and Bayesian-Optimized BM25 and Sentence Embedding Retrieval—0
SCALPEL: Segmentation Cascades with Localized Priors and Efficient Learning—0
Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval—0
SDR: Efficient Neural Re-ranking using Succinct Document Representation—0
Seasonal Web Search Query Selection for Influenza-Like Illness (ILI) Estimation—0
Selecting Query-bag as Pseudo Relevance Feedback for Information-seeking Conversations—0
Semantic Driven Fielded Entity Retrieval—0
Semantic Retrieval at Walmart—0
Sentence-Level Multilingual Multi-modal Embedding for Natural Language Processing—0
Seq2Slate: Re-ranking and Slate Optimization with RNNs—0
SEQ+MD: Learning Multi-Task as a SEQuence with Multi-Distribution Data—0
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