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Passage Retrieval
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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.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers
Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models
Generating clickbait spoilers with an ensemble of large language models
Control Token with Dense Passage Retrieval
Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question Answering
Generating Multi-Aspect Queries for Conversational Search
ArabicaQA: A Comprehensive Dataset for Arabic Question Answering
Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive Learning
SPLADE-v3: New baselines for SPLADE
PAQA: Toward ProActive Open-Retrieval Question Answering
Whispers in Grammars: Injecting Covert Backdoors to Compromise Dense Retrieval Systems
Dense Passage Retrieval: Is it Retrieving?
Re3val: Reinforced and Reranked Generative Retrieval
SpeechDPR: End-to-End Spoken Passage Retrieval for Open-Domain Spoken Question Answering
Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval
A Multi-level Distillation based Dense Passage Retrieval Model
RecJPQ: Training Large-Catalogue Sequential Recommenders
Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models
Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval
Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training
LePaRD: A Large-Scale Dataset of Judges Citing Precedents
GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text
Strong and Efficient Baselines for Open Domain Conversational Question Answering
Fine-Tuning LLaMA for Multi-Stage Text Retrieval
Topic-DPR: Topic-based Prompts for Dense Passage Retrieval
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering
Fine-tuning and aligning question answering models for complex information extraction tasks
Silver Retriever: Advancing Neural Passage Retrieval for Polish Question Answering
CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock Market
How Can Context Help? Exploring Joint Retrieval of Passage and Personalized Context
LLM2KB: Constructing Knowledge Bases using instruction tuned context aware Large Language Models
Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response Generation
Pre-training with Large Language Model-based Document Expansion for Dense Passage Retrieval
Answering Ambiguous Questions with a Database of Questions, Answers, and Revisions
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