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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 76–100 of 268 papers

TitleStatusHype
Optimized Text Embedding Models and Benchmarks for Amharic Passage RetrievalCode1
Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues?Code1
Overview of the TREC 2020 deep learning trackCode1
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
CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion—0
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
How does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval?—0
How to Build Robust FAQ Chatbot with Controllable Question Generator?—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
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