ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1901.04085
  4. Cited By
Passage Re-ranking with BERT
v1v2v3v4v5 (latest)

Passage Re-ranking with BERT

13 January 2019
Rodrigo Nogueira
Dong Wang
    OOD
ArXiv (abs)PDFHTMLGithub (480★)

Papers citing "Passage Re-ranking with BERT"

50 / 498 papers shown
Optimizing Generative Ranking Relevance via Reinforcement Learning in Xiaohongshu Search
Optimizing Generative Ranking Relevance via Reinforcement Learning in Xiaohongshu Search
Ziyang Zeng
Heming Jing
Jindong Chen
X. Li
Hongyu Liu
...
Yuqing Yang
Shaosheng Cao
Jun Fan
Yi-Chen Wu
Yao Hu
LRM
176
1
0
30 Nov 2025
CourseTimeQA: A Lecture-Video Benchmark and a Latency-Constrained Cross-Modal Fusion Method for Timestamped QA
Vsevolod Kovalev
Parteek Kumar
73
0
0
29 Nov 2025
Towards Improving Interpretability of Language Model Generation through a Structured Knowledge Discovery Approach
Towards Improving Interpretability of Language Model Generation through a Structured Knowledge Discovery ApproachIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2025
Shuqi Liu
Han Wu
Guanzhi Deng
Jianshu Chen
Xiaoyang Wang
Linqi Song
117
0
0
28 Nov 2025
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
236
0
0
22 Nov 2025
CREST: Improving Interpretability and Effectiveness of Troubleshooting at Ericsson through Criterion-Specific Trouble Report Retrieval
CREST: Improving Interpretability and Effectiveness of Troubleshooting at Ericsson through Criterion-Specific Trouble Report RetrievalJournal of Systems and Software (JSS), 2025
Soroush Javdan
Pragash Krishnamoorthy
Olga Baysal
170
0
0
21 Nov 2025
Incorporating Token Importance in Multi-Vector Retrieval
Archish S
Ankit Garg
Kirankumar Shiragur
N. Kayal
178
0
0
20 Nov 2025
QueStER: Query Specification for Generative keyword-based Retrieval
QueStER: Query Specification for Generative keyword-based Retrieval
Arthur Satouf
Yuxuan Zong
Habiboulaye Amadou Boubacar
Pablo Piantanida
Benjamin Piwowarski
RALM
245
0
0
07 Nov 2025
Search Is Not Retrieval: Decoupling Semantic Matching from Contextual Assembly in RAG
Search Is Not Retrieval: Decoupling Semantic Matching from Contextual Assembly in RAG
Harshit Nainwani
Hediyeh Baban
AI4TS
265
0
0
07 Nov 2025
E-CARE: An Efficient LLM-based Commonsense-Augmented Framework for E-Commerce
E-CARE: An Efficient LLM-based Commonsense-Augmented Framework for E-Commerce
Ge Zhang
Rohan Deepak Ajwani
Tony Zheng
Hongjian Gu
Yaochen Hu
Wei Guo
Mark Coates
Yingxue Zhang
LRM
175
0
0
06 Nov 2025
Vote-in-Context: Turning VLMs into Zero-Shot Rank Fusers
Vote-in-Context: Turning VLMs into Zero-Shot Rank Fusers
Mohamed Eltahir
Ali Habibullah
Lama Ayash
Tanveer Hussain
Naeemullah Khan
87
0
0
03 Nov 2025
RAGSmith: A Framework for Finding the Optimal Composition of Retrieval-Augmented Generation Methods Across Datasets
RAGSmith: A Framework for Finding the Optimal Composition of Retrieval-Augmented Generation Methods Across Datasets
Muhammed Yusuf Kartal
Suha Kagan Kose
Korhan Sevinç
Burak Aktas
122
0
0
03 Nov 2025
Traceable Drug Recommendation over Medical Knowledge Graphs
Traceable Drug Recommendation over Medical Knowledge Graphs
Yu Lin
Zhen Jia
Philipp Christmann
Xu Zhang
Shengdong Du
Tianrui Li
AI4TSMedIm
115
0
0
31 Oct 2025
Metadata-Driven Retrieval-Augmented Generation for Financial Question Answering
Metadata-Driven Retrieval-Augmented Generation for Financial Question Answering
Michail Dadopoulos
Anestis Ladas
Stratos Moschidis
Ioannis Negkakis
RALM
139
2
0
28 Oct 2025
OG-Rank: Learning to Rank Fast and Slow with Uncertainty and Reward-Trend Guided Adaptive Exploration
OG-Rank: Learning to Rank Fast and Slow with Uncertainty and Reward-Trend Guided Adaptive Exploration
Praphul Singh
Corey D Barrett
Sumana Srivasta
Irfan Bulu
Sri Gadde
Krishnaram Kenthapadi
OffRLBDLCML
164
0
0
20 Oct 2025
Probing Latent Knowledge Conflict for Faithful Retrieval-Augmented Generation
Probing Latent Knowledge Conflict for Faithful Retrieval-Augmented Generation
Linfeng Gao
Baolong Bi
Zheng Yuan
Le Wang
Zerui Chen
Zhimin Wei
Shenghua Liu
Qinggang Zhang
Jinsong Su
RALM
200
0
0
14 Oct 2025
From Reasoning LLMs to BERT: A Two-Stage Distillation Framework for Search Relevance
From Reasoning LLMs to BERT: A Two-Stage Distillation Framework for Search Relevance
Runze Xia
Yupeng Ji
Yuxi Zhou
Haodong Liu
Teng Zhang
Piji Li
LRM
163
1
0
13 Oct 2025
ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval
ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval
Weiwei Sun
Keyi Kong
Xinyu Ma
Shuaiqiang Wang
Dawei Yin
Maarten de Rijke
Zhaochun Ren
Yiming Yang
152
0
0
12 Oct 2025
TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance
TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance
Jianhui Yang
Yiming Jin
Pengkun Jiao
Chenhe Dong
Zerui Huang
Shaowei Yao
Xiaojiang Zhou
Dan Ou
Haihong Tang
LRM
181
0
0
09 Oct 2025
Text2Stories: Evaluating the Alignment Between Stakeholder Interviews and Generated User Stories
Text2Stories: Evaluating the Alignment Between Stakeholder Interviews and Generated User Stories
Francesco Dente
Fabiano Dalpiaz
Paolo Papotti
83
0
0
08 Oct 2025
Scalable In-context Ranking with Generative Models
Scalable In-context Ranking with Generative Models
Nilesh Gupta
Chong You
Srinadh Bhojanapalli
Sanjiv Kumar
Inderjit Dhillon
Felix X. Yu
235
2
0
06 Oct 2025
Grounding Large Language Models in Clinical Evidence: A Retrieval-Augmented Generation System for Querying UK NICE Clinical Guidelines
Grounding Large Language Models in Clinical Evidence: A Retrieval-Augmented Generation System for Querying UK NICE Clinical Guidelines
Matthew Lewis
Samuel Thio
Richard J. B. Dobson
Spiros C. Denaxas
Whoasif Mukit
...
Zhangshu Joshua Jiang
Niko Möller-Grell
Aditya Borakati
Richard JB Dobson
Spiros Denaxas
RALMLM&MA
300
0
0
03 Oct 2025
Study on LLMs for Promptagator-Style Dense Retriever Training
Study on LLMs for Promptagator-Style Dense Retriever Training
Daniel Gwon
Nour Jedidi
Jimmy Lin
RALM
86
0
0
02 Oct 2025
Hierarchical Semantic Retrieval with Cobweb
Anant Gupta
Karthik Singaravadivelan
Zekun Wang
110
0
0
02 Oct 2025
Directed Information $γ$-covering: An Information-Theoretic Framework for Context Engineering
Directed Information γγγ-covering: An Information-Theoretic Framework for Context Engineering
Hai Huang
124
1
0
30 Sep 2025
jina-reranker-v3: Last but Not Late Interaction for Listwise Document Reranking
jina-reranker-v3: Last but Not Late Interaction for Listwise Document Reranking
Feng Wang
Y. Li
Han Xiao
BDL
291
0
0
29 Sep 2025
Beyond RAG vs. Long-Context: Learning Distraction-Aware Retrieval for Efficient Knowledge Grounding
Beyond RAG vs. Long-Context: Learning Distraction-Aware Retrieval for Efficient Knowledge Grounding
Seong-Woong Shim
Myunsoo Kim
Jae Hyeon Cho
Byung-Jun Lee
RALM
154
0
0
26 Sep 2025
CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering
CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering
Yang Zhao
Chengxiao Dai
Wei Zhuo
Yue Xiu
Dusit Niyato
157
0
0
25 Sep 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
186
0
0
23 Sep 2025
The Role of Vocabularies in Learning Sparse Representations for Ranking
The Role of Vocabularies in Learning Sparse Representations for Ranking
Hiun Kim
Tae Kwan Lee
Taeryun Won
150
0
0
20 Sep 2025
Modernizing Facebook Scoped Search: Keyword and Embedding Hybrid Retrieval with LLM Evaluation
Modernizing Facebook Scoped Search: Keyword and Embedding Hybrid Retrieval with LLM Evaluation
Yongye Su
Zeya Zhang
Jane Kou
Cheng Ju
Shubhojeet Sarkar
Yamin Wang
Ji Liu
Shengbo Guo
68
0
0
17 Sep 2025
A Survey on Retrieval And Structuring Augmented Generation with Large Language Models
A Survey on Retrieval And Structuring Augmented Generation with Large Language Models
Pengcheng Jiang
Siru Ouyang
Yizhu Jiao
Ming Zhong
Runchu Tian
Jiawei Han
RALMKELM
210
6
0
12 Sep 2025
ViRanker: A BGE-M3 & Blockwise Parallel Transformer Cross-Encoder for Vietnamese Reranking
ViRanker: A BGE-M3 & Blockwise Parallel Transformer Cross-Encoder for Vietnamese Reranking
Phuong-Nam Dang
Kieu-Linh Nguyen
Thanh-Hieu Pham
90
0
0
11 Sep 2025
SEDM: Scalable Self-Evolving Distributed Memory for Agents
SEDM: Scalable Self-Evolving Distributed Memory for Agents
Haoran Xu
Jiacong Hu
Ke Zhang
Lei Yu
Yuxin Tang
Xinyuan Song
Yiqun Duan
Lynn Ai
Bill Shi
183
1
0
11 Sep 2025
An Iterative LLM Framework for SIBT utilizing RAG-based Adaptive Weight Optimization
An Iterative LLM Framework for SIBT utilizing RAG-based Adaptive Weight Optimization
Zhuo Xiao
Qinglong Yao
Jingjing Wang
F. Zhou
Bo Liu
Haitao Sun
Zhe Ji
Yuliang Jiang
Junjie Wang
Qiuwen Wu
111
0
0
10 Sep 2025
Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey
Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey
Minghan Li
Xinxuan Lv
Junjie Zou
Tongna Chen
Chao Zhang
Suchao An
Ercong Nie
Guodong Zhou
129
4
0
09 Sep 2025
Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval
Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval
Hao Lin
Peitong Xie
Jingxue Chen
Jie Lin
Qingkun Tang
Qianchun Lu
80
0
0
08 Sep 2025
Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive Retrieval
Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive Retrieval
Haike Xu
Tong Chen
LRM
107
0
0
08 Sep 2025
LLMs for estimating positional bias in logged interaction data
LLMs for estimating positional bias in logged interaction data
Aleksandr V. Petrov
Michael Murtagh
Karthik Nagesh
137
0
0
03 Sep 2025
Fact or Facsimile? Evaluating the Factual Robustness of Modern Retrievers
Fact or Facsimile? Evaluating the Factual Robustness of Modern Retrievers
Haoyu Wu
Qingcheng Zeng
Kaize Ding
HILMKELM
171
0
0
28 Aug 2025
Disabling Self-Correction in Retrieval-Augmented Generation via Stealthy Retriever Poisoning
Disabling Self-Correction in Retrieval-Augmented Generation via Stealthy Retriever Poisoning
Yanbo Dai
Zhenlan Ji
Zongjie Li
Kuan Li
Shuai Wang
SILMAAMLKELM
153
1
0
27 Aug 2025
From Search to Reasoning: A Five-Level RAG Capability Framework for Enterprise Data
From Search to Reasoning: A Five-Level RAG Capability Framework for Enterprise Data
Gurbinder Gill
Ritvik Gupta
Denis Lusson
Anand Chandrashekar
Donald Nguyen
135
0
0
27 Aug 2025
MODE: Mixture of Document Experts for RAG
MODE: Mixture of Document Experts for RAG
Rahul Anand
MoE
77
0
0
27 Aug 2025
How Reliable are LLMs for Reasoning on the Re-ranking task?
How Reliable are LLMs for Reasoning on the Re-ranking task?
Nafis Tanveer Islam
Zhiming Zhao
LRM
104
0
0
25 Aug 2025
REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking
REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking
Pinhuan Wang
Zhiqiu Xia
Chunhua Liao
Feiyi Wang
Hang Liu
176
3
0
25 Aug 2025
Retrieval Capabilities of Large Language Models Scale with Pretraining FLOPs
Retrieval Capabilities of Large Language Models Scale with Pretraining FLOPs
Jacob P. Portes
Connor Jennings
Erica Ji Yuen
Sasha Doubov
Michael Carbin
RALMLRMELM
143
1
0
24 Aug 2025
How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models
How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models
Abdelrahman Abdallah
Bhawna Piryani
Jamshid Mozafari
Mohammed Ali
Adam Jatowt
LRM
124
1
0
22 Aug 2025
Improving Dense Passage Retrieval with Multiple Positive Passages
Improving Dense Passage Retrieval with Multiple Positive Passages
Shuai Chang
78
0
0
13 Aug 2025
ReMoMask: Retrieval-Augmented Masked Motion Generation
ReMoMask: Retrieval-Augmented Masked Motion Generation
Zhengdao Li
Siheng Wang
Zeyu Zhang
Hao Tang
DiffMVGen
254
4
0
04 Aug 2025
Hubness Reduction with Dual Bank Sinkhorn Normalization for Cross-Modal Retrieval
Hubness Reduction with Dual Bank Sinkhorn Normalization for Cross-Modal Retrieval
Zhengxin Pan
Haishuai Wang
Fangyu Wu
Peng Zhang
Jiajun Bu
162
0
0
04 Aug 2025
Bidirectional Likelihood Estimation with Multi-Modal Large Language Models for Text-Video Retrieval
Bidirectional Likelihood Estimation with Multi-Modal Large Language Models for Text-Video Retrieval
Dohwan Ko
Ji Soo Lee
M. Choi
Zihang Meng
Hyunwoo J. Kim
379
1
0
31 Jul 2025
1234...8910
Next
Page 1 of 10