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Reranking

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Showing 1–50 of 586 papers

TitleStatusHype
Relevance Isn't All You Need: Scaling RAG Systems With Inference-Time Compute Via Multi-Criteria RerankingCode13
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation ModelsCode5
Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented GenerationCode4
EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network OperationsCode4
ReChorus2.0: A Modular and Task-Flexible Recommendation LibraryCode4
MTEB: Massive Text Embedding BenchmarkCode4
Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement LearningCode3
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented GenerationCode2
LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document RerankingCode2
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-ThoughtsCode2
Rank1: Test-Time Compute for Reranking in Information RetrievalCode2
Benchmarking Retrieval-Augmented Generation in Multi-Modal ContextsCode2
LamRA: Large Multimodal Model as Your Advanced Retrieval AssistantCode2
CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and RerankingCode2
INQUIRE: A Natural World Text-to-Image Retrieval BenchmarkCode2
EnCLAP++: Analyzing the EnCLAP Framework for Optimizing Automated Audio Captioning PerformanceCode2
MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected TrainingCode2
LitSearch: A Retrieval Benchmark for Scientific Literature SearchCode2
FIRST: Faster Improved Listwise Reranking with Single Token DecodingCode2
Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language ModelsCode2
ARAGOG: Advanced RAG Output GradingCode2
Easy-to-Hard Generalization: Scalable Alignment Beyond Human SupervisionCode2
Scaling Down, LiTting Up: Efficient Zero-Shot Listwise Reranking with Seq2seq Encoder-Decoder ModelsCode2
RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!Code2
RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language ModelsCode2
Global Features are All You Need for Image Retrieval and RerankingCode2
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of RerankersCode2
Re3: Generating Longer Stories With Recursive Reprompting and RevisionCode2
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion ModelsCode2
Pretrained Transformers for Text Ranking: BERT and BeyondCode2
Constructing and Evaluating Declarative RAG Pipelines in PyTerrierCode1
REARANK: Reasoning Re-ranking Agent via Reinforcement LearningCode1
AcuRank: Uncertainty-Aware Adaptive Computation for Listwise RerankingCode1
Universal Biological Sequence Reranking for Improved De Novo Peptide SequencingCode1
Efficient and Reproducible Biomedical Question Answering using Retrieval Augmented GenerationCode1
KGMEL: Knowledge Graph-Enhanced Multimodal Entity LinkingCode1
Retrieval Augmented Generation with Collaborative Filtering for Personalized Text GenerationCode1
Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge BasesCode1
RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation LearningCode1
RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG SystemsCode1
Magneto: Combining Small and Large Language Models for Schema MatchingCode1
PyTerrier-GenRank: The PyTerrier Plugin for Reranking with Large Language ModelsCode1
Why These Documents? Explainable Generative Retrieval with Hierarchical Category PathsCode1
CoFE-RAG: A Comprehensive Full-chain Evaluation Framework for Retrieval-Augmented Generation with Enhanced Data DiversityCode1
PairDistill: Pairwise Relevance Distillation for Dense RetrievalCode1
Enhancing High-order Interaction Awareness in LLM-based Recommender ModelCode1
Review-driven Personalized Preference Reasoning with Large Language Models for RecommendationCode1
AutoBencher: Creating Salient, Novel, Difficult Datasets for Language ModelsCode1
LinkGPT: Teaching Large Language Models To Predict Missing LinksCode1
Enhancing Mobile "How-to" Queries with Automated Search Results Verification and RerankingCode1
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