Passage Retrieval
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Benchmarks
Most implemented
Dense Passage Retrieval for Open-Domain Question Answering
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
Unsupervised Dense Information Retrieval with Contrastive Learning
Passage Re-ranking with BERT
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
BM25S: Orders of magnitude faster lexical search via eager sparse scoring
Papers
TabRank: Chain-of-Thought Distillation for Table Re-Rankers
The ability to retrieve relevant tables for answering questions is a key task for structured information retrieval. Multi-stage retrieval systems rely heavily on rerankers to refine candidate lists produced by efficient …
Information RetrievalNatural QuestionsPassage RetrievalTable RetrievalQuery-Aware Spreading Activation for Multi-Hop Retrieval over Knowledge Graphs
Retrieval-augmented generation built on knowledge graphs (Graph RAG) outperforms flat passage retrieval on multi-hop question answering by leveraging graph structure. In most existing systems, however, the question only …
Multi-hop Question AnsweringPassage RetrievalKnowledge GraphsThe Multilingual Curse at the Retrieval Layer: Evidence from Amharic
Multilingual retrieval increasingly underpins cross-lingual question answering and retrieval-augmented generation. Strong zero-shot scores on multilingual benchmarks are often taken as evidence that current encoders tran…
Cross-Lingual Question AnsweringPassage RetrievalGRASP: Graph Agentic Search over Propositions for Multi-hop Question Answering
Agentic retrieval improves multi-hop question answering by giving language models autonomy to iteratively gather evidence. Recent work augments these systems with knowledge graphs for structured traversal, but this combi…
Multi-hop Question AnsweringPassage RetrievalKnowledge GraphsThe Interference Gap: Comparing Retrieval Bounds in Human Memory and RAG Systems
How do retrieval bounds compare between human episodic memory and Retrieval-Augmented Generation (RAG) systems under semantic interference? We present a unified signal detection theory (SDT) framework that applies to bot…
Passage RetrievalIs It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Retrieval
Novelty assessment is a critical yet complex task in the examination process for patent acceptance, requiring examiners to determine whether an invention is disclosed in a prior art document. The process involves intrica…
Binary ClassificationPassage Retrieval