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Showing 301–325 of 743 papers

TitleStatusHype
Integrating Coarse Granularity Part-level Features with Supervised Global-level Features for Person Re-identification—0
Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval—0
IBMResearch at MEDIQA 2021: Toward Improving Factual Correctness of Radiology Report Abstractive Summarization—0
Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach—0
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking—0
GW\_QA at SemEval-2017 Task 3: Question Answer Re-ranking on Arabic Fora—0
GUITAR: Gradient Pruning toward Fast Neural Ranking—0
Cross-Language Question Re-Ranking—0
Accurate Instance-Level CAD Model Retrieval in a Large-Scale Database—0
Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks—0
Baidu Neural Machine Translation Systems for WMT19—0
A Discriminative Semantic Ranker for Question Retrieval—0
Graph Neural Re-Ranking via Corpus Graph—0
Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems—0
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding—0
Harvesting Visual Objects from Internet Images via Deep Learning Based Objectness Assessment—0
Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-based Scoring Function for Re-ranking Peptide-Spectrum Matches—0
Graph-convolution neural network-based flexible docking utilizing coarse-grained distance matrix—0
CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models—0
Conversational Search with Mixed-Initiative -- Asking Good Clarification Questions backed-up by Passage Retrieval—0
Bag-of-Words Forced Decoding for Cross-Lingual Information Retrieval—0
IIE’s Neural Machine Translation Systems for WMT20—0
Improving Zero-shot LLM Re-Ranker with Risk Minimization—0
Graph-Based Re-ranking: Emerging Techniques, Limitations, and Opportunities—0
Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022—0
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