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Passage Reranking

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Showing 1–23 of 23 papers

TitleStatusHype
Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language ModelsCode2
Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language ModelsCode1
Reader-Guided Passage Reranking for Open-Domain Question AnsweringCode1
Rider: Reader-Guided Passage Reranking for Open-Domain Question AnsweringCode1
Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary?—0
Rank-K: Test-Time Reasoning for Listwise RerankingCode0
How Relevance Emerges: Interpreting LoRA Fine-Tuning in Reranking LLMs—0
Understanding Ranking LLMs: A Mechanistic Analysis for Information Retrieval—0
Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language ModelsCode0
TWOLAR: a TWO-step LLM-Augmented distillation method for passage RerankingCode0
InstUPR : Instruction-based Unsupervised Passage Reranking with Large Language ModelsCode0
EcoRank: Budget-Constrained Text Re-ranking Using Large Language ModelsCode0
Reranking Passages with Coarse-to-Fine Neural Retriever Enhanced by List-Context Information—0
Hybrid and Collaborative Passage RerankingCode0
Learning List-Level Domain-Invariant Representations for Ranking—0
PReGAN: Answer Oriented Passage Ranking with Weakly Supervised GAN—0
How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks—0
Assessing the Benefits of Model Ensembles in Neural Re-Ranking for Passage Retrieval—0
Making Information Seeking Easier: An Improved Pipeline for Conversational Search—0
A Study of Latent Structured Prediction Approaches to Passage Reranking—0
Understanding the Behaviors of BERT in Ranking—0
Encoding Semantic Resources in Syntactic Structures for Passage Reranking—0
Learning Adaptable Patterns for Passage Reranking—0
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