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Distilling Knowledge from Reader to Retriever for Question Answering
v1v2 (latest)

Distilling Knowledge from Reader to Retriever for Question Answering

8 December 2020
Gautier Izacard
Edouard Grave
    RALM
ArXiv (abs)PDFHTML

Papers citing "Distilling Knowledge from Reader to Retriever for Question Answering"

50 / 205 papers shown
Learning What Helps: Task-Aligned Context Selection for Vision Tasks
Learning What Helps: Task-Aligned Context Selection for Vision Tasks
Jingyu Guo
Emir Konuk
Fredrik Strand
Christos Matsoukas
Kevin Smith
114
0
0
29 Nov 2025
ARK: Answer-Centric Retriever Tuning via KG-augmented Curriculum Learning
ARK: Answer-Centric Retriever Tuning via KG-augmented Curriculum Learning
Jiawei Zhou
Hang Ding
Haiyun Jiang
RALM
163
0
0
20 Nov 2025
Attention Grounded Enhancement for Visual Document Retrieval
Attention Grounded Enhancement for Visual Document Retrieval
Wanqing Cui
Wei Huang
Yazhi Guo
Yibo Hu
Meiguang Jin
Junfeng Ma
Keping Bi
218
1
0
17 Nov 2025
Context Engineering 2.0: The Context of Context Engineering
Context Engineering 2.0: The Context of Context Engineering
Qishuo Hua
Lyumanshan Ye
Dayuan Fu
Yang Xiao
Xiaojie Cai
Yunze Wu
Jifan Lin
Junfei Wang
Pengfei Liu
440
11
0
30 Oct 2025
Optimizing Retrieval for RAG via Reinforcement Learning
Optimizing Retrieval for RAG via Reinforcement Learning
Jiawei Zhou
Lei Chen
185
1
0
28 Oct 2025
CTRL-Rec: Controlling Recommender Systems With Natural Language
CTRL-Rec: Controlling Recommender Systems With Natural Language
Micah Carroll
Adeline Foote
Kevin Feng
Marcus Williams
Anca Dragan
W. B. Knox
S. Milli
104
1
0
14 Oct 2025
LLM-Specific Utility: A New Perspective for Retrieval-Augmented Generation
LLM-Specific Utility: A New Perspective for Retrieval-Augmented Generation
Hengran Zhang
Keping Bi
Jiafeng Guo
Jiaming Zhang
Shuaiqiang Wang
Dawei Yin
Xueqi Cheng
RALM
186
0
0
13 Oct 2025
Enhancing Transformer-Based Rerankers with Synthetic Data and LLM-Based Supervision
Enhancing Transformer-Based Rerankers with Synthetic Data and LLM-Based Supervision
Dimitar Peshevski
Kiril Blazhevski
Martin Popovski
Gjorgji Madjarov
OffRLSyDa
194
0
0
23 Sep 2025
LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations
LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations
Robin Vujanic
Thomas Rueckstiess
159
2
0
16 Sep 2025
Learning to Shop Like Humans: A Review-driven Retrieval-Augmented Recommendation Framework with LLMs
Learning to Shop Like Humans: A Review-driven Retrieval-Augmented Recommendation Framework with LLMs
Kaiwen Wei
Jinpeng Gao
Jiang Zhong
Yuming Yang
Fengmao Lv
Zhenyang Li
124
0
0
31 Aug 2025
RAG for Geoscience: What We Expect, Gaps and Opportunities
RAG for Geoscience: What We Expect, Gaps and Opportunities
Runlong Yu
Shiyuan Luo
Rahul Ghosh
Jinkui Chi
Yiqun Xie
Xiaowei Jia
176
2
0
15 Aug 2025
Retrieval-augmented reasoning with lean language models
Retrieval-augmented reasoning with lean language models
Ryan Sze-Yin Chan
Federico Nanni
Tomas Lazauskas
Rosie Wood
Penelope Yong
Lionel Tarassenko
Mark Girolami
James Geddes
Andrew Duncan
RALMLRM
219
1
0
15 Aug 2025
eSapiens's DEREK Module: Deep Extraction & Reasoning Engine for Knowledge with LLMs
eSapiens's DEREK Module: Deep Extraction & Reasoning Engine for Knowledge with LLMs
Wenli Wang
Zeyuan Li
Fan Liu
Yang Yang
Lewei He
Yang Yang
Tianyu Shi
RALM
205
1
0
13 Jul 2025
Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective
Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective
Léo Gagnon
Eric Elmoznino
Sarthak Mittal
Tom Marty
Tejas Kasetty
Dhanya Sridhar
Guillaume Lajoie
253
0
0
19 Jun 2025
DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation
DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based DistillationAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Jennifer Chen
Aidar Myrzakhan
Yaxin Luo
Hassaan Muhammad Khan
Sondos Mahmoud Bsharat
Zhiqiang Shen
VLM
519
2
0
02 Jun 2025
Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking
Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking
Yunyi Zhang
Ruozhen Yang
Siqi Jiao
SeongKu Kang
Jiawei Han
287
9
0
27 May 2025
LLMs for Supply Chain Management
LLMs for Supply Chain Management
Haojie Wang
Jiuyun Jiang
L. Jeff Hong
Guangxin Jiang
245
2
0
24 May 2025
MuseScorer: Idea Originality Scoring At Scale
MuseScorer: Idea Originality Scoring At Scale
Ali Sarosh Bangash
Krish Veera
Ishfat Abrar Islam
Raiyan Abdul Baten
LRM
320
0
0
22 May 2025
Pre-training Limited Memory Language Models with Internal and External Knowledge
Pre-training Limited Memory Language Models with Internal and External Knowledge
Linxi Zhao
Sofian Zalouk
Christian K. Belardi
Justin Lovelace
Jin Peng Zhou
Ryan Thomas Noonan
Dongyoung Go
Kilian Q. Weinberger
Yoav Artzi
Jennifer J. Sun
KELMHILM
459
0
0
21 May 2025
Mixture-of-RAG: Integrating Text and Tables with Large Language Models
Mixture-of-RAG: Integrating Text and Tables with Large Language Models
Chi Zhang
Qiyang Chen
M. Zhang
RALM3DVVLM
512
0
0
13 Apr 2025
RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning
RALLRec+: Retrieval Augmented Large Language Model Recommendation with ReasoningExpert systems with applications (ESWA), 2025
Sichun Luo
Jian Xu
Xinsong Zhang
Linrong Wang
Sicong Liu
Hanxu Hou
Linqi Song
RALM3DVLRM
341
4
0
26 Mar 2025
ExpertRAG: Efficient RAG with Mixture of Experts -- Optimizing Context Retrieval for Adaptive LLM Responses
ExpertRAG: Efficient RAG with Mixture of Experts -- Optimizing Context Retrieval for Adaptive LLM Responses
Esmail Gumaan
MoE
379
4
0
23 Mar 2025
A Survey on Knowledge-Oriented Retrieval-Augmented Generation
A Survey on Knowledge-Oriented Retrieval-Augmented Generation
Mingyue Cheng
Yucong Luo
Jie Ouyang
Qiang Liu
Huijie Liu
...
Bohou Zhang
Jiawei Cao
Jie Ma
Daoyu Wang
Tong Xu
3DV
434
48
0
11 Mar 2025
Uncertainty Quantification in Retrieval Augmented Question Answering
Uncertainty Quantification in Retrieval Augmented Question Answering
Laura Perez-Beltrachini
Mirella Lapata
RALM
615
4
0
25 Feb 2025
KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation
KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Jinyuan Fang
Zaiqiao Meng
Craig Macdonald
RALM
964
10
0
25 Feb 2025
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-ThoughtsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Mingyan Wu
Zhenghao Liu
Shi Yu
Xinze Li
S. Yu
Zheni Zeng
Yu Gu
Ge Yu
RALMAI4TSLRM
259
12
0
25 Feb 2025
ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrieval
ASRank: Zero-Shot Re-Ranking with Answer Scent for Document RetrievalNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025
Abdelrahman Abdallah
Jamshid Mozafari
Bhawna Piryani
Adam Jatowt
309
7
0
28 Jan 2025
NL2KQL: From Natural Language to Kusto Query
NL2KQL: From Natural Language to Kusto Query
Amir H. Abdi
Xinye Tang
Jeremias Eichelbaum
Mahan Das
Alex Klein
...
William Blum
Daniel L Mace
Tanvi Raja
Namrata Padmanabhan
Ye Xing
532
5
0
20 Jan 2025
From Reading to Compressing: Exploring the Multi-document Reader for Prompt Compression
From Reading to Compressing: Exploring the Multi-document Reader for Prompt CompressionConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Eunseong Choi
Sunkyung Lee
Minjin Choi
June Park
Jongwuk Lee
513
5
0
03 Jan 2025
DragonVerseQA: Open-Domain Long-Form Context-Aware Question-Answering
DragonVerseQA: Open-Domain Long-Form Context-Aware Question-Answering
A. Lahiri
Qinmin Vivian Hu
250
1
0
21 Dec 2024
Accelerating Retrieval-Augmented Generation
Accelerating Retrieval-Augmented GenerationInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2024
Derrick Quinn
Mohammad Nouri
Neel Patel
John Salihu
Alireza Salemi
Sukhan Lee
Hamed Zamani
Mohammad Alian
RALM3DV
424
35
0
14 Dec 2024
Vision Search Assistant: Empower Vision-Language Models as Multimodal
  Search Engines
Vision Search Assistant: Empower Vision-Language Models as Multimodal Search Engines
Zhixin Zhang
Yiyuan Zhang
Xiaohan Ding
Xiangyu Yue
253
13
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28 Oct 2024
FACT: Examining the Effectiveness of Iterative Context Rewriting for
  Multi-fact Retrieval
FACT: Examining the Effectiveness of Iterative Context Rewriting for Multi-fact RetrievalNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Jinlin Wang
Suyuchen Wang
Ziwen Xia
Sirui Hong
Yun Zhu
Bang Liu
Chenglin Wu
KELMReLMHILMRALMLRM
219
1
0
28 Oct 2024
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for
  Long-Context Question Answering
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Qingfei Zhao
Ruobing Wang
Yukuo Cen
Daren Zha
Shicheng Tan
Yuxiao Dong
Jie Tang
RALM
295
45
0
23 Oct 2024
Towards Cross-Cultural Machine Translation with Retrieval-Augmented
  Generation from Multilingual Knowledge Graphs
Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge GraphsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Simone Conia
Daniel Lee
Min Li
U. F. Minhas
Saloni Potdar
Yunyao Li
258
41
0
17 Oct 2024
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data RewardsInternational Conference on Learning Representations (ICLR), 2024
Xinze Li
Sen Mei
Zhenghao Liu
Shi Yu
Kaiyan Zhang
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Ge Yu
Zhiyuan Liu
Maosong Sun
Chenyan Xiong
467
38
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17 Oct 2024
FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG
FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG
X. Zhao
Yan Zhong
Zetian Sun
Xinshuo Hu
Zhenyu Liu
Dongfang Li
Baotian Hu
Min Zhang
556
20
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14 Oct 2024
Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization
Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility MaximizationInternational Conference on the Theory of Information Retrieval (ICTIR), 2024
Alireza Salemi
Hamed Zamani
RALM
402
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0
13 Oct 2024
Contrastive Learning to Improve Retrieval for Real-world Fact Checking
Contrastive Learning to Improve Retrieval for Real-world Fact Checking
Aniruddh Sriram
Fangyuan Xu
Eunsol Choi
Greg Durrett
238
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PECAN: LLM-Guided Dynamic Progress Control with Attention-Guided Hierarchical Weighted Graph for Long-Document QA
PECAN: LLM-Guided Dynamic Progress Control with Attention-Guided Hierarchical Weighted Graph for Long-Document QAAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
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Yanzheng Xiang
Lin Gui
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394
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Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers
Attention in Large Language Models Yields Efficient Zero-Shot Re-RankersInternational Conference on Learning Representations (ICLR), 2024
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Bernal Jiménez Gutiérrez
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PairDistill: Pairwise Relevance Distillation for Dense Retrieval
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290
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Incorporating Precedents for Legal Judgement Prediction on European
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199
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Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models
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rerankers: A Lightweight Python Library to Unify Ranking Methods
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396
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Improving embedding with contrastive fine-tuning on small datasets with
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281
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WeKnow-RAG: An Adaptive Approach for Retrieval-Augmented Generation
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Xuefeng Liang
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FastFiD: Improve Inference Efficiency of Open Domain Question Answering
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426
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