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Re-Ranking

Papers

Showing 301350 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
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
Relevance Feedback with Brain SignalsCode0
Relevance feedback strategies for recall-oriented neural information retrieval0
RED-DOT: Multimodal Fact-checking via Relevant Evidence DetectionCode0
Text Retrieval with Multi-Stage Re-Ranking ModelsCode0
Citation Recommendation on Scholarly Legal ArticlesCode0
Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources0
Efficient Neural Ranking using Forward Indexes and Lightweight Encoders0
GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval0
ProMap: Effective Bilingual Lexicon Induction via Language Model PromptingCode0
PaRaDe: Passage Ranking using Demonstrations with Large Language Models0
Improving Large Language Model Fine-tuning for Solving Math Problems0
Contextual Data Augmentation for Task-Oriented Dialog Systems0
Rethinking Large-scale Pre-ranking System: Entire-chain Cross-domain ModelsCode0
A Completely Locale-independent Session-based Recommender System by Leveraging Trained Model0
Answer Candidate Type Selection: Text-to-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs0
TPDR: A Novel Two-Step Transformer-based Product and Class Description Match and Retrieval Method0
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context RetrievalCode0
Large Language Models Meet Knowledge Graphs to Answer Factoid Questions0
Fairness for All: Investigating Harms to Within-Group Individuals in Producer Fairness Re-ranking Optimization -- A Reproducibility Study0
Dynamic Visual Semantic Sub-Embeddings and Fast Re-Ranking0
Provider Fairness and Beyond-Accuracy Trade-offs in Recommender SystemsCode0
Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-RankingCode0
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions0
Ensuring User-side Fairness in Dynamic Recommender Systems0
A Multi-Perspective Learning to Rank Approach to Support Children's Information Seeking in the Classroom0
Stationary Algorithmic Balancing For Dynamic Email Re-Ranking ProblemCode0
Breaking Language Barriers with MMTweets: Advancing Cross-Lingual Debunked Narrative Retrieval for Fact-Checking0
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