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Showing 151–200 of 743 papers

TitleStatusHype
Exploring Longitudinal Effects of Session-based RecommendationsCode1
Graph-Embedding Empowered Entity RetrievalCode1
Two-stage Discriminative Re-ranking for Large-scale Landmark RetrievalCode1
Interpretable & Time-Budget-Constrained Contextualization for Re-RankingCode1
Deep Graph Matching ConsensusCode1
TU Wien @ TREC Deep Learning '19 -- Simple Contextualization for Re-rankingCode1
Finding Moments in Video Collections Using Natural LanguageCode1
Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event EmbeddingCode1
Large-scale Landmark Retrieval/Recognition under a Noisy and Diverse DatasetCode1
Personalized Re-ranking for RecommendationCode1
Passage Re-ranking with BERTCode1
Overview of the TalentCLEF 2025: Skill and Job Title Intelligence for Human Capital Management—0
MCoT-RE: Multi-Faceted Chain-of-Thought and Re-Ranking for Training-Free Zero-Shot Composed Image Retrieval—0
CATVis: Context-Aware Thought Visualization—0
SAMURAI: Shape-Aware Multimodal Retrieval for 3D Object Identification—0
RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in RecommendationCode0
CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models—0
ADAM: Autonomous Discovery and Annotation Model using LLMs for Context-Aware Annotations—0
Learning to Reason Across Parallel Samples for LLM Reasoning—0
Locality Preserving Markovian Transition for Instance Retrieval—0
NR4DER: Neural Re-ranking for Diversified Exercise RecommendationCode0
SA-Person: Text-Based Person Retrieval with Scene-aware Re-ranking—0
Learning Distributions over Permutations and Rankings with Factorized Representations—0
mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation—0
Deep Retrieval at CheckThat! 2025: Identifying Scientific Papers from Implicit Social Media Mentions via Hybrid Retrieval and Re-Ranking—0
Distilling Closed-Source LLM's Knowledge for Locally Stable and Economic Biomedical Entity Linking—0
Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems—0
Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains—0
Focus, Merge, Rank: Improved Question Answering Based on Semi-structured Knowledge BasesCode0
Optimizing Retrieval-Augmented Generation: Analysis of Hyperparameter Impact on Performance and Efficiency—0
A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao—0
MedEIR: A Specialized Medical Embedding Model for Enhanced Information Retrieval—0
A Unified Hierarchical Framework for Fine-grained Cross-view Geo-localization over Large-scale Scenarios—0
VR-RAG: Open-vocabulary Species Recognition with RAG-Assisted Large Multi-Modal Models—0
Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems—0
Scalable Unit Harmonization in Medical Informatics Using Bi-directional Transformers and Bayesian-Optimized BM25 and Sentence Embedding Retrieval—0
Investigating Task Arithmetic for Zero-Shot Information RetrievalCode0
TartuNLP at SemEval-2025 Task 5: Subject Tagging as Two-Stage Information Retrieval—0
Are Information Retrieval Approaches Good at Harmonising Longitudinal Survey Questions in Social Science?—0
MATCHA: Can Multi-Agent Collaboration Build a Trustworthy Conversational Recommender?—0
Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics—0
Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems—0
FinSage: A Multi-aspect RAG System for Financial Filings Question Answering—0
Optimizing Compound Retrieval Systems—0
Visual Re-Ranking with Non-Visual Side InformationCode0
StePO-Rec: Towards Personalized Outfit Styling Assistant via Knowledge-Guided Multi-Step Reasoning—0
Iterative Self-Training for Code Generation via Reinforced Re-Ranking—0
Breaking the Lens of the Telescope: Online Relevance Estimation over Large Retrieval Sets—0
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation—0
Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling—0
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