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Reranking

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Showing 326–350 of 586 papers

TitleStatusHype
Reranking Overgenerated Responses for End-to-End Task-Oriented Dialogue SystemsCode0
NeuralSearchX: Serving a Multi-billion-parameter Reranker for Multilingual Metasearch at a Low Cost—0
N-Best Hypotheses Reranking for Text-To-SQL Systems—0
GIDP: Learning a Good Initialization and Inducing Descriptor Post-enhancing for Large-scale Place Recognition—0
LogicRank: Logic Induced Reranking for Generative Text-to-Image Systems—0
Continuous Active Learning Using Pretrained Transformers—0
PReGAN: Answer Oriented Passage Ranking with Weakly Supervised GAN—0
A Self-supervised Joint Training Framework for Document Reranking—0
Towards Robust Ranker for Text Retrieval—0
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance RankingCode0
The HW-TSC’s Offline Speech Translation System for IWSLT 2022 Evaluation—0
The HW-TSC’s Speech to Speech Translation System for IWSLT 2022 Evaluation—0
SciEv: Finding Scientific Evidence Papers for Scientific News—0
A Method of Query Graph Reranking for Knowledge Base Question Answering—0
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual RetrievalCode0
End-to-end Learnable Diversity-aware News Recommendation—0
Internet-augmented language models through few-shot prompting for open-domain question answering—0
A practical framework for multi-domain speech recognition and an instance sampling method to neural language modeling—0
RMBR: A Regularized Minimum Bayes Risk Reranking Framework for Machine Translation—0
Enabling arbitrary translation objectives with Adaptive Tree Search—0
Double Retrieval and Ranking for Accurate Question Answering—0
Consecutive Question Generation with Multitask Joint Reranking and Dynamic Rationale Search—0
In Situ Answer Sentence Selection at Web-scale—0
Re2G: Retrieve, Rerank, Generate—0
CODER: An efficient framework for improving retrieval through COntextual Document Embedding RerankingCode0
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