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Re-Ranking

Papers

Showing 201225 of 743 papers

TitleStatusHype
EcoRank: Budget-Constrained Text Re-ranking Using Large Language ModelsCode0
A Systematic Review of Data-to-Text NLG0
Bryndza at ClimateActivism 2024: Stance, Target and Hate Event Detection via Retrieval-Augmented GPT-4 and LLaMACode4
Constrained Multiview Representation for Self-supervised Contrastive Learning0
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender SystemsCode0
Regressing Transformers for Data-efficient Visual Place Recognition0
T-Rex: Text-assisted Retrosynthesis PredictionCode0
Query Exposure Prediction for Groups of Documents in Rankings0
Enhancing Recommendation Diversity by Re-ranking with Large Language Models0
ReFT: Reasoning with Reinforced Fine-TuningCode4
Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems0
Exploring the Best Practices of Query Expansion with Large Language ModelsCode1
DQNC2S: DQN-based Cross-stream Crisis event SummarizerCode0
DREQ: Document Re-Ranking Using Entity-based Query UnderstandingCode0
MultiSlot ReRanker: A Generic Model-based Re-Ranking Framework in Recommendation Systems0
Concurrent Brainstorming & Hypothesis Satisfying: An Iterative Framework for Enhanced Retrieval-Augmented Generation (R2CBR3H-SR)Code0
Investigating the Effects of Sparse Attention on Cross-EncodersCode0
GUITAR: Gradient Pruning toward Fast Neural Ranking0
Training-free Zero-shot Composed Image Retrieval with Local Concept Reranking0
Contextually Affinitive Neighborhood Refinery for Deep ClusteringCode1
ESPN: Memory-Efficient Multi-Vector Information RetrievalCode1
Relevance Feedback with Brain SignalsCode0
Video-based Visible-Infrared Person Re-Identification with Auxiliary SamplesCode1
Optimal Transport Aggregation for Visual Place RecognitionCode2
Relevance feedback strategies for recall-oriented neural information retrieval0
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