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ABNIRML: Analyzing the Behavior of Neural IR Models
v1v2 (latest)

ABNIRML: Analyzing the Behavior of Neural IR Models

Transactions of the Association for Computational Linguistics (TACL), 2020
2 November 2020
Sean MacAvaney
Sergey Feldman
Nazli Goharian
Doug Downey
Arman Cohan
ArXiv (abs)PDFHTML

Papers citing "ABNIRML: Analyzing the Behavior of Neural IR Models"

21 / 21 papers shown
Reproducing and Extending Causal Insights Into Term Frequency Computation in Neural Rankers
Reproducing and Extending Causal Insights Into Term Frequency Computation in Neural Rankers
Cile van Marken
Roxana Petcu
CML
215
0
0
08 Oct 2025
How do Large Language Models Understand Relevance? A Mechanistic Interpretability Perspective
How do Large Language Models Understand Relevance? A Mechanistic Interpretability Perspective
Qi Liu
Jiaxin Mao
Ji-Rong Wen
LRM
319
4
0
10 Apr 2025
Collapse of Dense Retrievers: Short, Early, and Literal Biases Outranking Factual Evidence
Collapse of Dense Retrievers: Short, Early, and Literal Biases Outranking Factual EvidenceAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Mohsen Fayyaz
Ali Modarressi
Hinrich Schuetze
Nanyun Peng
497
14
0
06 Mar 2025
A Survey of Model Architectures in Information Retrieval
A Survey of Model Architectures in Information Retrieval
Zhichao Xu
Fengran Mo
Zhiqi Huang
Crystina Zhang
Puxuan Yu
Bei Wang
Jimmy J. Lin
Vivek Srikumar
KELM3DVELMLRM
703
21
0
20 Feb 2025
Robust Neural Information Retrieval: An Adversarial and
  Out-of-distribution Perspective
Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective
Yu-An Liu
Ruqing Zhang
Jiafeng Guo
Maarten de Rijke
Yixing Fan
Xueqi Cheng
487
20
0
09 Jul 2024
Retrieval-Augmented Generation: Is Dense Passage Retrieval Retrieving?
Retrieval-Augmented Generation: Is Dense Passage Retrieval Retrieving?
Benjamin Z. Reichman
Larry Heck
389
2
0
16 Feb 2024
Approximate Attributions for Off-the-Shelf Siamese Transformers
Approximate Attributions for Off-the-Shelf Siamese TransformersConference of the European Chapter of the Association for Computational Linguistics (EACL), 2024
Lucas Moller
Dmitry Nikolaev
Sebastian Padó
320
8
0
05 Feb 2024
An Attribution Method for Siamese Encoders
An Attribution Method for Siamese EncodersConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Lucas Moller
Dmitry Nikolaev
Sebastian Padó
440
8
0
09 Oct 2023
DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based
  Queries
DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based QueriesNeural Information Processing Systems (NeurIPS), 2023
Jianyou Wang
Kaicheng Wang
Xiaoyue Wang
Prudhviraj Naidu
Leon Bergen
R. Paturi
579
17
0
07 Oct 2023
When do Generative Query and Document Expansions Fail? A Comprehensive
  Study Across Methods, Retrievers, and Datasets
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and DatasetsFindings (Findings), 2023
Orion Weller
Kyle Lo
Aman Rangapur
Dawn J Lawrie
Benjamin Van Durme
Arman Cohan
Luca Soldaini
350
38
0
15 Sep 2023
"According to ...": Prompting Language Models Improves Quoting from
  Pre-Training Data
"According to ...": Prompting Language Models Improves Quoting from Pre-Training DataConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Orion Weller
Marc Marone
Nathaniel Weir
Dawn J Lawrie
Daniel Khashabi
Benjamin Van Durme
HILM
392
62
0
22 May 2023
NevIR: Negation in Neural Information Retrieval
NevIR: Negation in Neural Information RetrievalConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Orion Weller
Dawn J Lawrie
Benjamin Van Durme
MU
418
36
0
12 May 2023
Representation biases in sentence transformers
Representation biases in sentence transformersConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Dmitry Nikolaev
Sebastian Padó
294
11
0
30 Jan 2023
Open Domain Multi-document Summarization: A Comprehensive Study of Model
  Brittleness under Retrieval
Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under RetrievalConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
John Giorgi
Luca Soldaini
Bo Wang
Gary D. Bader
Kyle Lo
Lucy Lu Wang
Arman Cohan
364
21
0
20 Dec 2022
What Are You Token About? Dense Retrieval as Distributions Over the
  Vocabulary
What Are You Token About? Dense Retrieval as Distributions Over the VocabularyAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Ori Ram
L. Bezalel
Adi Zicher
Yonatan Belinkov
Jonathan Berant
Amir Globerson
341
45
0
20 Dec 2022
Explainability of Text Processing and Retrieval Methods: A Survey
Explainability of Text Processing and Retrieval Methods: A Survey
Sourav Saha
Debapriyo Majumdar
Mandar Mitra
374
5
0
14 Dec 2022
The Role of Complex NLP in Transformers for Text Ranking?
The Role of Complex NLP in Transformers for Text Ranking?International Conference on the Theory of Information Retrieval (ICTIR), 2022
David Rau
J. Kamps
256
10
0
06 Jul 2022
Positional Bias in Long-Document Ranking: Impact, Assessment, and Mitigation
Positional Bias in Long-Document Ranking: Impact, Assessment, and Mitigation
Leonid Boytsov
David Akinpelu
Nipun Katyal
Tianyi Lin
Fangwei Gao
Yutian Zhao
Jeffrey Huang
Eric Nyberg
510
9
0
04 Jul 2022
Entity-Conditioned Question Generation for Robust Attention Distribution
  in Neural Information Retrieval
Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information RetrievalAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
R. Reddy
Md Arafat Sultan
M. Franz
Avirup Sil
Heng Ji
236
7
0
24 Apr 2022
The Inefficiency of Language Models in Scholarly Retrieval: An
  Experimental Walk-through
The Inefficiency of Language Models in Scholarly Retrieval: An Experimental Walk-throughFindings (Findings), 2022
Shruti Singh
Mayank Singh
232
2
0
29 Mar 2022
Match Your Words! A Study of Lexical Matching in Neural Information
  Retrieval
Match Your Words! A Study of Lexical Matching in Neural Information Retrieval
Thibault Formal
Benjamin Piwowarski
Stéphane Clinchant
260
32
0
10 Dec 2021
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