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Re-Ranking

Papers

Showing 301325 of 743 papers

TitleStatusHype
Bifurcated Attention: Accelerating Massively Parallel Decoding with Shared Prefixes in LLMs0
ILCiteR: Evidence-grounded Interpretable Local Citation RecommendationCode0
Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement LearningCode0
RECOST: External Knowledge Guided Data-efficient Instruction Tuning0
CFIR: Fast and Effective Long-Text To Image Retrieval for Large CorporaCode0
Leveraging Translation For Optimal Recall: Tailoring LLM Personalization With User Profiles0
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation0
EcoRank: Budget-Constrained Text Re-ranking Using Large Language ModelsCode0
A Systematic Review of Data-to-Text NLG0
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
Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems0
DQNC2S: DQN-based Cross-stream Crisis event SummarizerCode0
MultiSlot ReRanker: A Generic Model-based Re-Ranking Framework in Recommendation Systems0
DREQ: Document Re-Ranking Using Entity-based Query UnderstandingCode0
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
Relevance Feedback with Brain SignalsCode0
Relevance feedback strategies for recall-oriented neural information retrieval0
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