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Passage Retrieval

Passage retrieval is a specialized type of IR application that retrieves relevant passages (or pieces of text) rather than an entire ranked set of documents.

Papers

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Showing 51–100 of 268 papers

TitleStatusHype
Densifying Sparse Representations for Passage Retrieval by Representational SlicingCode1
Optimized Text Embedding Models and Benchmarks for Amharic Passage RetrievalCode1
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage RetrievalCode1
Phrase Retrieval Learns Passage Retrieval, TooCode1
LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale RetrievalCode1
CoRT: Complementary Rankings from TransformersCode1
LePaRD: A Large-Scale Dataset of Judges Citing PrecedentsCode1
MFAQ: a Multilingual FAQ DatasetCode1
Cross-document Event Coreference Search: Task, Dataset and ModelingCode1
CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock MarketCode1
Dealing with Typos for BERT-based Passage Retrieval and RankingCode1
Curriculum Learning for Dense Retrieval DistillationCode1
Large Dual Encoders Are Generalizable RetrieversCode1
ArabicaQA: A Comprehensive Dataset for Arabic Question AnsweringCode1
DAPR: A Benchmark on Document-Aware Passage RetrievalCode1
Improving Passage Retrieval with Zero-Shot Question GenerationCode1
Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query GenerationCode1
Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and EfficientlyCode1
Dense Passage Retrieval for Open-Domain Question AnsweringCode1
Leveraging Passage Retrieval with Generative Models for Open Domain Question AnsweringCode1
Unsupervised Dense Information Retrieval with Contrastive LearningCode1
Fine-Tuning LLaMA for Multi-Stage Text RetrievalCode1
One Question Answering Model for Many Languages with Cross-lingual Dense Passage RetrievalCode1
On Single and Multiple Representations in Dense Passage RetrievalCode1
Overview of the TREC 2019 deep learning trackCode1
Overview of the TREC 2020 deep learning trackCode1
Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues?Code1
Passage Re-ranking with BERTCode1
Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage RetrievalCode1
Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage RetrievalCode1
Biomedical Question Answering via Weighted Neural Network Passage Retrieval—0
CoT-MoTE: Exploring ConTextual Masked Auto-Encoder Pre-training with Mixture-of-Textual-Experts for Passage Retrieval—0
CoT-MAE v2: Contextual Masked Auto-Encoder with Multi-view Modeling for Passage Retrieval—0
Batched Self-Consistency Improves LLM Relevance Assessment and Ranking—0
Hyperlink-induced Pre-training for Passage Retrieval of Open-domain Question Answering—0
HYRR: Hybrid Infused Reranking for Passage Retrieval—0
Conversational Search with Mixed-Initiative - Asking Good Clarification Questions backed-up by Passage Retrieval—0
Conversational Search with Mixed-Initiative -- Asking Good Clarification Questions backed-up by Passage Retrieval—0
Control Token with Dense Passage Retrieval—0
Answering Ambiguous Questions with a Database of Questions, Answers, and Revisions—0
Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers—0
Contributions to the Improvement of Question Answering Systems in the Biomedical Domain—0
Automated Historical Fact-Checking by Passage Retrieval, Word Statistics, and Virtual Question-Answering—0
Extractive NarrativeQA with Heuristic Pre-Training—0
Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application—0
Contextualized Query Embeddings for Conversational Search—0
Extracting Factual Min/Max Age Information from Clinical Trial Studies—0
Exploiting Simulated User Feedback for Conversational Search: Ranking, Rewriting, and Beyond—0
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering—0
Mixed-initiative Query Rewriting in Conversational Passage Retrieval—0
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