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2204.07496
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Improving Passage Retrieval with Zero-Shot Question Generation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
15 April 2022
Devendra Singh Sachan
M. Lewis
Mandar Joshi
Armen Aghajanyan
Anuj Kumar
J. Pineau
Luke Zettlemoyer
OOD
LRM
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Papers citing
"Improving Passage Retrieval with Zero-Shot Question Generation"
50 / 137 papers shown
DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification
Abdelrahman Abdallah
Jamshid Mozafari
Bhawna Piryani
Mohammed M. Abdelgwad
Adam Jatowt
373
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0
30 Nov 2024
EviRerank: Adaptive Evidence Construction for Long-Document LLM Reranking
Minghan Li
Eric Gaussier
Juntao Li
Guodong Zhou
ALM
211
0
0
09 Nov 2024
Self-Calibrated Listwise Reranking with Large Language Models
The Web Conference (WWW), 2024
Ruiyang Ren
Yuhao Wang
K. Zhou
Wayne Xin Zhao
Wenjie Wang
Jing Liu
Ji-Rong Wen
Tat-Seng Chua
LRM
KELM
237
7
0
07 Nov 2024
Best Practices for Distilling Large Language Models into BERT for Web Search Ranking
International Conference on Computational Linguistics (COLING), 2024
Dezhi Ye
Junwei Hu
Jiabin Fan
Bowen Tian
Jie Liu
Haijin Liang
Jin Ma
278
3
0
07 Nov 2024
CORAG: A Cost-Constrained Retrieval Optimization System for Retrieval-Augmented Generation
Liang Luo
Haitao Yuan
Wei Dong
Gao Cong
Feifei Li
3DV
202
7
0
01 Nov 2024
AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation Pipeline
Dongkyu Kim
Byoungwook Kim
Donggeon Han
Matouš Eibich
280
24
0
28 Oct 2024
LargePiG: Your Large Language Model is Secretly a Pointer Generator
Zhongxiang Sun
Zihua Si
Xiaoxue Zang
Kai Zheng
Yang Song
Xiao Zhang
Jun Xu
HILM
RALM
228
0
0
15 Oct 2024
One2set + Large Language Model: Best Partners for Keyphrase Generation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Liangying Shao
Liang Zhang
Minlong Peng
Guoqi Ma
Hao Yue
Mingming Sun
Jinsong Su
239
3
0
04 Oct 2024
Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers
International Conference on Learning Representations (ICLR), 2024
Shijie Chen
Bernal Jiménez Gutiérrez
Yu Su
364
25
0
03 Oct 2024
PairDistill: Pairwise Relevance Distillation for Dense Retrieval
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Chao-Wei Huang
Yun-Nung Chen
263
5
0
02 Oct 2024
Disentangling Questions from Query Generation for Task-Adaptive Retrieval
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Yoonsang Lee
Minsoo Kim
Seung-won Hwang
RALM
244
3
0
25 Sep 2024
Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Yifei Yuan
Yang Deng
Anders Søgaard
Mohammad Aliannejadi
157
0
0
24 Sep 2024
W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering
International Conference on the Theory of Information Retrieval (ICTIR), 2024
Jinming Nian
Zhiyuan Peng
Qifan Wang
Yi Fang
RALM
357
8
0
15 Aug 2024
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
Rulin Shao
Jacqueline He
Akari Asai
Weijia Shi
Tim Dettmers
Sewon Min
Luke Zettlemoyer
Pang Wei Koh
RALM
329
52
0
09 Jul 2024
Re-Ranking Step by Step: Investigating Pre-Filtering for Re-Ranking with Large Language Models
Baharan Nouriinanloo
Maxime Lamothe
146
5
0
26 Jun 2024
DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task
Wenhan Liu
Yutao Zhu
Zhicheng Dou
ALM
RALM
230
17
0
24 Jun 2024
Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models
Qi Liu
Bo Wang
Nan Wang
Jiaxin Mao
RALM
305
22
0
21 Jun 2024
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking
Can Jin
Hongwu Peng
Shiyu Zhao
Zhenting Wang
Wujiang Xu
Ligong Han
Jiahui Zhao
Kai Zhong
Sanguthevar Rajasekaran
Dimitris N. Metaxas
KELM
526
50
0
20 Jun 2024
An Investigation of Prompt Variations for Zero-shot LLM-based Rankers
Shuoqi Sun
Shengyao Zhuang
Shuai Wang
Guido Zuccon
333
16
0
20 Jun 2024
Improving Zero-shot LLM Re-Ranker with Risk Minimization
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Xiaowei Yuan
Zhao Yang
Yequan Wang
Jun Zhao
Kang Liu
122
5
0
19 Jun 2024
Prompts as Auto-Optimized Training Hyperparameters: Training Best-in-Class IR Models from Scratch with 10 Gold Labels
Jasper Xian
Saron Samuel
Faraz Khoubsirat
Ronak Pradeep
Md Arafat Sultan
Radu Florian
Salim Roukos
Avirup Sil
Christopher Potts
Omar Khattab
VLM
199
4
0
17 Jun 2024
TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy
Yiqun Chen
Qi Liu
Yi Zhang
Weiwei Sun
Daiting Shi
Jiaxin Mao
D. Yin
Jiaxin Mao
Dawei Yin
456
33
0
17 Jun 2024
Ranking Manipulation for Conversational Search Engines
Samuel Pfrommer
Yatong Bai
Tanmay Gautam
Somayeh Sojoudi
SILM
327
12
0
05 Jun 2024
LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking
Yifan Zeng
Ojas Tendolkar
Raymond Baartmans
Qingyun Wu
Huazheng Wang
Lizhong Chen
174
7
0
31 May 2024
Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark
Hongliu Cao
AI4TS
325
30
0
27 May 2024
Ranked List Truncation for Large Language Model-based Re-Ranking
Chuan Meng
Negar Arabzadeh
Arian Askari
Mohammad Aliannejadi
Maarten de Rijke
LRM
343
30
0
28 Apr 2024
A Survey on the Real Power of ChatGPT
Ming Liu
Ran Liu
Ye Zhu
Hua Wang
Youyang Qu
Rongsheng Li
Yongpan Sheng
Wray Buntine
340
3
0
22 Apr 2024
MCRanker: Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers
Fang Guo
Wenyu Li
Honglei Zhuang
Yun Luo
Yafu Li
Qi Zhu
Le Yan
Yue Zhang
ALM
412
10
0
18 Apr 2024
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
Yuan Wang
Xuyang Wu
Hsin-Tai Wu
Zhiqiang Tao
Yi Fang
ALM
287
18
0
04 Apr 2024
DUQGen: Effective Unsupervised Domain Adaptation of Neural Rankers by Diversifying Synthetic Query Generation
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
Ramraj Chandradevan
Kaustubh D. Dhole
Eugene Agichtein
159
6
0
03 Apr 2024
Query Performance Prediction using Relevance Judgments Generated by Large Language Models
Chuan Meng
Negar Arabzadeh
Arian Askari
Mohammad Aliannejadi
Maarten de Rijke
LRM
494
22
0
01 Apr 2024
Gecko: Versatile Text Embeddings Distilled from Large Language Models
Jinhyuk Lee
Zhuyun Dai
Xiaoqi Ren
Blair Chen
Daniel Cer
...
Aditya Kusupati
Prateek Jain
Siddhartha Reddy Jonnalagadda
Ming-Wei Chang
Iftekhar Naim
RALM
VLM
SyDa
341
77
0
29 Mar 2024
Make Large Language Model a Better Ranker
Wenshuo Chao
Zhi Zheng
Hengshu Zhu
Hao Liu
ALM
276
11
0
28 Mar 2024
InstUPR : Instruction-based Unsupervised Passage Reranking with Large Language Models
Chao-Wei Huang
Yun-Nung Chen
LRM
178
5
0
25 Mar 2024
Backtracing: Retrieving the Cause of the Query
Rose E. Wang
Pawan Wirawarn
Omar Khattab
Noah D. Goodman
Dorottya Demszky
180
2
0
06 Mar 2024
Unsupervised Multilingual Dense Retrieval via Generative Pseudo Labeling
Chao-Wei Huang
†. Chen-AnLi
†. Tsu-YuanHsu
Chen-Yu Hsu
Yun-Nung Chen
RALM
247
5
0
06 Mar 2024
BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives
Xiaoyue Wang
Jianyou Wang
Weili Cao
Kaicheng Wang
R. Paturi
Leon Bergen
346
14
0
21 Feb 2024
A Survey on Knowledge Distillation of Large Language Models
Xiaohan Xu
Ming Li
Chongyang Tao
Tao Shen
Reynold Cheng
Jinyang Li
Can Xu
Dacheng Tao
Wanrong Zhu
KELM
VLM
464
235
0
20 Feb 2024
Large Language Models for Stemming: Promises, Pitfalls and Failures
Shuai Wang
Shengyao Zhuang
Guido Zuccon
284
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19 Feb 2024
EcoRank: Budget-Constrained Text Re-ranking Using Large Language Models
Muhammad Shihab Rashid
Jannat Ara Meem
Yue Dong
Vagelis Hristidis
LRM
227
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16 Feb 2024
Large Language Model Augmented Exercise Retrieval for Personalized Language Learning
Austin Xu
Will Monroe
K. Bicknell
RALM
AI4Ed
164
7
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08 Feb 2024
ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search
Shuai Wang
Shengyao Zhuang
Bevan Koopman
Guido Zuccon
198
8
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31 Jan 2024
Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models
European Conference on Information Retrieval (ECIR), 2023
Xinyu Crystina Zhang
Sebastian Hofstatter
Patrick Lewis
Raphael Tang
Jimmy J. Lin
LRM
KELM
ELM
RALM
ALM
162
17
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05 Dec 2023
Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Fan Jiang
Xingliang Yuan
Tom Drummond
Trevor Cohn
252
4
0
27 Nov 2023
PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers
Sheshera Mysore
Zhuoran Lu
Mengting Wan
Longqi Yang
Steve Menezes
Tina Baghaee
Emmanuel Barajas Gonzalez
Jennifer Neville
Tara Safavi
RALM
361
69
0
15 Nov 2023
Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA
Dhruv Agarwal
Rajarshi Das
Sopan Khosla
Rashmi Gangadharaiah
OffRL
276
12
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14 Nov 2023
Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval
North American Chapter of the Association for Computational Linguistics (NAACL), 2023
Nandan Thakur
Jianmo Ni
Gustavo Hernández Ábrego
John Wieting
Jimmy J. Lin
Daniel Cer
RALM
454
24
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10 Nov 2023
Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers
Weiwei Sun
Zheng Chen
Xinyu Ma
Lingyong Yan
Shuaiqiang Wang
Sudipta Singha Roy
Zhumin Chen
D. Yin
Zhaochun Ren
ALM
371
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02 Nov 2023
Improving Zero-shot Reader by Reducing Distractions from Irrelevant Documents in Open-Domain Question Answering
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Sukmin Cho
Jeongyeon Seo
Soyeong Jeong
Jong C. Park
RALM
292
2
0
26 Oct 2023
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking
Shengyao Zhuang
Bing Liu
Bevan Koopman
Guido Zuccon
RALM
169
69
0
20 Oct 2023
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