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The Problem of Coherence in Natural Language Explanations of Recommendations
v1v2 (latest)

The Problem of Coherence in Natural Language Explanations of Recommendations

18 December 2023
Jakub Raczynski
Mateusz Lango
Jerzy Stefanowski
ArXiv (abs)PDFHTML

Papers citing "The Problem of Coherence in Natural Language Explanations of Recommendations"

17 / 17 papers shown
Title
Text Chunking for Document Classification for Urban System Management using Large Language Models
Text Chunking for Document Classification for Urban System Management using Large Language Models
Joshua Rodriguez
Om Sanan
Guillermo Vizarreta-Luna
Steven A. Conrad
71
0
0
31 Mar 2025
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach
Adam Wojciechowski
Mateusz Lango
Ondrej Dusek
FAtt
58
1
0
30 Jul 2024
How Can Recommender Systems Benefit from Large Language Models: A Survey
How Can Recommender Systems Benefit from Large Language Models: A Survey
Jianghao Lin
Xinyi Dai
Yunjia Xi
Weiwen Liu
Bo Chen
...
Chenxu Zhu
Huifeng Guo
Yong Yu
Ruiming Tang
Weinan Zhang
LRM
127
217
0
09 Jun 2023
On Faithfulness and Coherence of Language Explanations for
  Recommendation Systems
On Faithfulness and Coherence of Language Explanations for Recommendation Systems
Zhouhang Xie
Julian McAuley
Bodhisattwa Prasad Majumder
LRM
66
1
0
12 Sep 2022
Personalized Prompt Learning for Explainable Recommendation
Personalized Prompt Learning for Explainable Recommendation
Lei Li
Yongfeng Zhang
Li Chen
LRM
55
172
0
15 Feb 2022
Survey of Hallucination in Natural Language Generation
Survey of Hallucination in Natural Language Generation
Ziwei Ji
Nayeon Lee
Rita Frieske
Tiezheng Yu
D. Su
...
Delong Chen
Wenliang Dai
Ho Shu Chan
Andrea Madotto
Pascale Fung
HILMLRM
228
2,423
0
08 Feb 2022
Personalized Transformer for Explainable Recommendation
Personalized Transformer for Explainable Recommendation
Lei Li
Yongfeng Zhang
Li Chen
120
139
0
25 May 2021
Validating Label Consistency in NER Data Annotation
Validating Label Consistency in NER Data Annotation
Qingkai Zeng
Mengxia Yu
Wenhao Yu
Tianwen Jiang
Meng Jiang
44
12
0
21 Jan 2021
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
877
42,379
0
28 May 2020
Towards Faithfully Interpretable NLP Systems: How should we define and
  evaluate faithfulness?
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?
Alon Jacovi
Yoav Goldberg
XAI
131
600
0
07 Apr 2020
Towards Explainable Artificial Intelligence
Towards Explainable Artificial Intelligence
Wojciech Samek
K. Müller
XAI
75
443
0
26 Sep 2019
BERTScore: Evaluating Text Generation with BERT
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang
Varsha Kishore
Felix Wu
Kilian Q. Weinberger
Yoav Artzi
352
5,860
0
21 Apr 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,175
0
11 Oct 2018
Explainable Recommendation: A Survey and New Perspectives
Explainable Recommendation: A Survey and New Perspectives
Yongfeng Zhang
Xu Chen
XAILRM
99
878
0
30 Apr 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
786
132,363
0
12 Jun 2017
RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain
  Dialog Systems
RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems
Chongyang Tao
Lili Mou
Dongyan Zhao
Rui Yan
85
218
0
11 Jan 2017
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILawVLM
641
13,432
0
25 Aug 2014
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