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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
MTEB: Massive Text Embedding BenchmarkCode4
ReChorus2.0: A Modular and Task-Flexible Recommendation LibraryCode4
EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network OperationsCode4
Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement LearningCode3
INQUIRE: A Natural World Text-to-Image Retrieval BenchmarkCode2
ARAGOG: Advanced RAG Output GradingCode2
RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language ModelsCode2
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion ModelsCode2
FIRST: Faster Improved Listwise Reranking with Single Token DecodingCode2
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented GenerationCode2
Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language ModelsCode2
Re3: Generating Longer Stories With Recursive Reprompting and RevisionCode2
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of RerankersCode2
Rank1: Test-Time Compute for Reranking in Information RetrievalCode2
Pretrained Transformers for Text Ranking: BERT and BeyondCode2
EnCLAP++: Analyzing the EnCLAP Framework for Optimizing Automated Audio Captioning PerformanceCode2
RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!Code2
Scaling Down, LiTting Up: Efficient Zero-Shot Listwise Reranking with Seq2seq Encoder-Decoder ModelsCode2
MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected TrainingCode2
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-ThoughtsCode2
LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document RerankingCode2
Benchmarking Retrieval-Augmented Generation in Multi-Modal ContextsCode2
Global Features are All You Need for Image Retrieval and RerankingCode2
Easy-to-Hard Generalization: Scalable Alignment Beyond Human SupervisionCode2
LamRA: Large Multimodal Model as Your Advanced Retrieval AssistantCode2
CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and RerankingCode2
LitSearch: A Retrieval Benchmark for Scientific Literature SearchCode2
Improving Bilingual Lexicon Induction with Cross-Encoder RerankingCode1
2nd Place Solution to Google Landmark Retrieval 2021Code1
Enhancing Mobile "How-to" Queries with Automated Search Results Verification and RerankingCode1
HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer RerankingCode1
Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR DecompositionCode1
HypR: A comprehensive study for ASR hypothesis revising with a reference corpusCode1
AcuRank: Uncertainty-Aware Adaptive Computation for Listwise RerankingCode1
Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic FidelityCode1
Generative Flow Network for Listwise RecommendationCode1
AutoBencher: Creating Salient, Novel, Difficult Datasets for Language ModelsCode1
Generating Scientific Definitions with Controllable ComplexityCode1
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward HackingCode1
Instance-level Image Retrieval using Reranking TransformersCode1
Article Reranking by Memory-Enhanced Key Sentence Matching for Detecting Previously Fact-Checked ClaimsCode1
Fast and Accurate Deep Bidirectional Language Representations for Unsupervised LearningCode1
Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding NetworkCode1
Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question AnsweringCode1
Enhancing High-order Interaction Awareness in LLM-based Recommender ModelCode1
2nd Place and 2nd Place Solution to Kaggle Landmark Recognition andRetrieval Competition 2019Code1
Explaining Patterns in Data with Language Models via Interpretable AutopromptingCode1
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