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Reranking

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Showing 1–50 of 586 papers

TitleStatusHype
Efficiency-Effectiveness Reranking FLOPs for LLM-based RerankersCode0
SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression—0
Mask-aware Text-to-Image Retrieval: Referring Expression Segmentation Meets Cross-modal Retrieval—0
JointRank: Rank Large Set with Single PassCode0
Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation—0
SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization—0
AI Assistants to Enhance and Exploit the PETSc Knowledge Base—0
Knowledge-Aware Diverse Reranking for Cross-Source Question Answering—0
InsertRank: LLMs can reason over BM25 scores to Improve Listwise Reranking—0
MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document RetrievalCode0
Constructing and Evaluating Declarative RAG Pipelines in PyTerrierCode1
MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models—0
Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning—0
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation ModelsCode5
REARANK: Reasoning Re-ranking Agent via Reinforcement LearningCode1
RankLLM: A Python Package for Reranking with LLMsCode0
AcuRank: Uncertainty-Aware Adaptive Computation for Listwise RerankingCode1
Universal Biological Sequence Reranking for Improved De Novo Peptide SequencingCode1
Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary?—0
Reranking with Compressed Document Representation—0
Rank-K: Test-Time Reasoning for Listwise RerankingCode0
LLM-Based Compact Reranking with Document Features for Scientific Retrieval—0
GeoVLM: Improving Automated Vehicle Geolocalisation Using Vision-Language MatchingCode0
SynDec: A Synthesize-then-Decode Approach for Arbitrary Textual Style Transfer via Large Language Models—0
Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language ModelsCode0
Efficient and Reproducible Biomedical Question Answering using Retrieval Augmented GenerationCode1
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented GenerationCode2
GRADA: Graph-based Reranker against Adversarial Documents AttackCode0
OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval—0
Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized RecommendationsCode0
QBD-RankedDataGen: Generating Custom Ranked Datasets for Improving Query-By-Document Search Using LLM-Reranking with Reduced Human Effort—0
Exploring the Role of Diversity in Example Selection for In-Context LearningCode0
CHORUS: Zero-shot Hierarchical Retrieval and Orchestration for Generating Linear Programming Code—0
Comprehensive List Generation for Multi-Generator Reranking—0
Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling EvaluatorsCode0
KGMEL: Knowledge Graph-Enhanced Multimodal Entity LinkingCode1
Iterative Self-Training for Code Generation via Reinforced Re-Ranking—0
Towards Efficient and Robust Moment Retrieval System: A Unified Framework for Multi-Granularity Models and Temporal Reranking—0
LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document RerankingCode2
Beyond Reproducibility: Advancing Zero-shot LLM Reranking Efficiency with Setwise Insertion—0
Retrieval Augmented Generation with Collaborative Filtering for Personalized Text GenerationCode1
How Relevance Emerges: Interpreting LoRA Fine-Tuning in Reranking LLMs—0
Automating Personalization: Prompt Optimization for Recommendation Reranking—0
RALLRec+: Retrieval Augmented Large Language Model Recommendation with ReasoningCode0
Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models—0
Towards Carbon Footprint-Aware Recommender Systems for Greener Item RecommendationCode0
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration—0
OSCAR: Online Soft Compression And Reranking—0
A Multi-Stage Framework with Taxonomy-Guided Reasoning for Occupation Classification Using Large Language Models—0
Relevance Isn't All You Need: Scaling RAG Systems With Inference-Time Compute Via Multi-Criteria RerankingCode13
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