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Leveraging Passage Retrieval with Generative Models for Open Domain
  Question Answering
v1v2 (latest)

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

2 July 2020
Gautier Izacard
Edouard Grave
    RALM
ArXiv (abs)PDFHTML

Papers citing "Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering"

50 / 890 papers shown
Title
Chatty-KG: A Multi-Agent AI System for On-Demand Conversational Question Answering over Knowledge Graphs
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Abdelghny Orogat
Ibrahim Abdelaziz
Omij Mangukiya
Panos Kalnis
Essam Mansour
150
0
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Rethinking Retrieval: From Traditional Retrieval Augmented Generation to Agentic and Non-Vector Reasoning Systems in the Financial Domain for Large Language Models
Rethinking Retrieval: From Traditional Retrieval Augmented Generation to Agentic and Non-Vector Reasoning Systems in the Financial Domain for Large Language Models
Elias Lumer
Matt Melich
Olivia Zino
Elena Kim
Sara Dieter
Pradeep Honaganahalli Basavaraju
Vamse Kumar Subbiah
James A. Burke
Roberto Hernandez
3DVRALMAIFin
198
0
0
22 Nov 2025
Parametric Retrieval-Augmented Generation using Latent Routing of LoRA Adapters
Parametric Retrieval-Augmented Generation using Latent Routing of LoRA Adapters
Zhan Su
Fengran Mo
Jian-yun Nie
77
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0
21 Nov 2025
Video-R4: Reinforcing Text-Rich Video Reasoning with Visual Rumination
Video-R4: Reinforcing Text-Rich Video Reasoning with Visual Rumination
Y. Tang
Daiki Shimada
Hang Hua
Chao Huang
Jing Bi
Rogerio Feris
Chenliang Xu
225
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0
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Do LLMs and Humans Find the Same Questions Difficult? A Case Study on Japanese Quiz Answering
Do LLMs and Humans Find the Same Questions Difficult? A Case Study on Japanese Quiz Answering
Naoya Sugiura
Kosuke Yamada
Yasuhiro Ogawa
Katsuhiko Toyama
Ryohei Sasano
81
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ScaleFormer: Span Representation Cumulation for Long-Context Transformer
ScaleFormer: Span Representation Cumulation for Long-Context Transformer
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Wenpeng Yin
Philip S. Yu
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Modeling Uncertainty Trends for Timely Retrieval in Dynamic RAG
Modeling Uncertainty Trends for Timely Retrieval in Dynamic RAG
Bo Li
Tian Tian
Zhenghua Xu
Hao Cheng
Shikun Zhang
Wei Ye
200
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Towards Hyper-Efficient RAG Systems in VecDBs: Distributed Parallel Multi-Resolution Vector Search
Towards Hyper-Efficient RAG Systems in VecDBs: Distributed Parallel Multi-Resolution Vector Search
Dong Liu
Yanxuan Yu
60
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TARG: Training-Free Adaptive Retrieval Gating for Efficient RAG
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Lu wei
Haibin Ling
96
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Catching Contamination Before Generation: Spectral Kill Switches for Agents
Catching Contamination Before Generation: Spectral Kill Switches for Agents
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BudgetMem: Learning Selective Memory Policies for Cost-Efficient Long-Context Processing in Language Models
BudgetMem: Learning Selective Memory Policies for Cost-Efficient Long-Context Processing in Language Models
Chandra Vamsi Krishna Alla
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254
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SDS KoPub VDR: A Benchmark Dataset for Visual Document Retrieval in Korean Public Documents
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Jaehoon Lee
Sohyun Kim
Wanggeun Park
Geon Lee
Seungkyung Kim
Minyoung Lee
122
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Yu Bai
Yukai Miao
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Fei Long
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146
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When retrieval outperforms generation: Dense evidence retrieval for scalable fake news detection
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151
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Rescuing the Unpoisoned: Efficient Defense against Knowledge Corruption Attacks on RAG Systems
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165
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Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization
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X. Chen
Shuai Xiao
Jinsong Lan
Xiaoyong Zhu
Ying Chen
Zhiguo Cao
185
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RAGSmith: A Framework for Finding the Optimal Composition of Retrieval-Augmented Generation Methods Across Datasets
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Muhammed Yusuf Kartal
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Korhan Sevinç
Burak Aktas
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Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation
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Song Wang
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Peng Wang
Zhepei Wei
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161
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AgentBnB: A Browser-Based Cybersecurity Tabletop Exercise with Large Language Model Support and Retrieval-Aligned Scaffolding
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80
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Secure Retrieval-Augmented Generation against Poisoning Attacks
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Zirui Cheng
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