ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1811.00783
  4. Cited By
Abstractive Summarization of Reddit Posts with Multi-level Memory
  Networks

Abstractive Summarization of Reddit Posts with Multi-level Memory Networks

2 November 2018
Byeongchang Kim
Hyunwoo J. Kim
Gunhee Kim
ArXivPDFHTML

Papers citing "Abstractive Summarization of Reddit Posts with Multi-level Memory Networks"

50 / 122 papers shown
Title
DUAL: Diversity and Uncertainty Active Learning for Text Summarization
Petros Stylianos Giouroukis
Alexios Gidiotis
Grigorios Tsoumakas
39
0
0
02 Mar 2025
The State and Fate of Summarization Datasets: A Survey
The State and Fate of Summarization Datasets: A Survey
Noam Dahan
Gabriel Stanovsky
HILM
52
0
0
07 Nov 2024
DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in
  Abstractive Text Summarization
DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in Abstractive Text Summarization
Haohan Yuan
Haopeng Zhang
26
1
0
21 Oct 2024
FastLexRank: Efficient Lexical Ranking for Structuring Social Media
  Posts
FastLexRank: Efficient Lexical Ranking for Structuring Social Media Posts
Mao Li
Frederick Conrad
Johann Gagnon-Bartsch
18
0
0
02 Oct 2024
Extract-and-Abstract: Unifying Extractive and Abstractive Summarization
  within Single Encoder-Decoder Framework
Extract-and-Abstract: Unifying Extractive and Abstractive Summarization within Single Encoder-Decoder Framework
Yuping Wu
Hao Li
Hongbo Zhu
Goran Nenadic
Xiao-Jun Zeng
31
0
0
18 Sep 2024
Bidirectional Awareness Induction in Autoregressive Seq2Seq Models
Bidirectional Awareness Induction in Autoregressive Seq2Seq Models
J. Hu
Roberto Cavicchioli
Alessandro Capotondi
BDL
34
0
0
25 Aug 2024
GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models
GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models
Kunsheng Tang
Wenbo Zhou
Jie Zhang
Aishan Liu
Gelei Deng
Shuai Li
Peigui Qi
Weiming Zhang
Tianwei Zhang
Nenghai Yu
46
3
0
22 Aug 2024
Large Language Models Know What Makes Exemplary Contexts
Large Language Models Know What Makes Exemplary Contexts
Quanyu Long
Jianda Chen
Wenya Wang
Sinno Jialin Pan
67
0
0
14 Aug 2024
Data Contamination Report from the 2024 CONDA Shared Task
Data Contamination Report from the 2024 CONDA Shared Task
Oscar Sainz
Iker García-Ferrero
Alon Jacovi
Jonas Hanselle
Yanai Elazar
...
Yu-Min Tseng
Vishaal Udandarao
Zengzhi Wang
Ruijie Xu
Jinglin Yang
51
5
0
31 Jul 2024
Position: Measure Dataset Diversity, Don't Just Claim It
Position: Measure Dataset Diversity, Don't Just Claim It
Dora Zhao
Jerone T. A. Andrews
Orestis Papakyriakopoulos
Alice Xiang
64
14
0
11 Jul 2024
A Systematic Survey of Text Summarization: From Statistical Methods to
  Large Language Models
A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models
Haopeng Zhang
Philip S. Yu
Jiawei Zhang
37
17
0
17 Jun 2024
Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization
Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization
Preslav Nakov
Shen Gao
Mingzhe Li
Qingqing Zhu
Xin Gao
Xiangliang Zhang
35
0
0
08 Jun 2024
Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing
Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing
Hadi Askari
Anshuman Chhabra
Muhao Chen
Prasant Mohapatra
41
5
0
06 Jun 2024
Understanding Position Bias Effects on Fairness in Social Multi-Document
  Summarization
Understanding Position Bias Effects on Fairness in Social Multi-Document Summarization
Olubusayo Olabisi
Ameeta Agrawal
45
2
0
03 May 2024
Decomposing Label Space, Format and Discrimination: Rethinking How LLMs
  Respond and Solve Tasks via In-Context Learning
Decomposing Label Space, Format and Discrimination: Rethinking How LLMs Respond and Solve Tasks via In-Context Learning
Quanyu Long
Yin Wu
Wenya Wang
Sinno Jialin Pan
94
1
0
11 Apr 2024
Information-Theoretic Distillation for Reference-less Summarization
Information-Theoretic Distillation for Reference-less Summarization
Jaehun Jung
Ximing Lu
Liwei Jiang
Faeze Brahman
Peter West
Pang Wei Koh
Yejin Choi
40
3
0
20 Mar 2024
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic
  Prompt Compression
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Zhuoshi Pan
Qianhui Wu
Huiqiang Jiang
Menglin Xia
Xufang Luo
...
Yuqing Yang
Chin-Yew Lin
H. Vicky Zhao
Lili Qiu
Dongmei Zhang
VLM
52
93
0
19 Mar 2024
ACLSum: A New Dataset for Aspect-based Summarization of Scientific
  Publications
ACLSum: A New Dataset for Aspect-based Summarization of Scientific Publications
Sotaro Takeshita
Tommaso Green
Ines Reinig
Kai Eckert
Simone Paolo Ponzetto
29
11
0
08 Mar 2024
GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence
GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence
Kundan Krishna
S. Ramprasad
Prakhar Gupta
Byron C. Wallace
Zachary Chase Lipton
Jeffrey P. Bigham
HILM
KELM
SyDa
52
9
0
19 Feb 2024
Tandem Transformers for Inference Efficient LLMs
Tandem Transformers for Inference Efficient LLMs
S. AishwaryaP
Pranav Ajit Nair
Yashas Samaga
Toby Boyd
Sanjiv Kumar
Prateek Jain
Praneeth Netrapalli
25
6
0
13 Feb 2024
SAPT: A Shared Attention Framework for Parameter-Efficient Continual
  Learning of Large Language Models
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models
Weixiang Zhao
Shilong Wang
Yulin Hu
Yanyan Zhao
Bing Qin
Xuanyu Zhang
Qing Yang
Dongliang Xu
Wanxiang Che
KELM
CLL
34
11
0
16 Jan 2024
Generative Deduplication For Socia Media Data Selection
Generative Deduplication For Socia Media Data Selection
Xianming Li
Jing Li
29
2
0
11 Jan 2024
Revisiting Zero-Shot Abstractive Summarization in the Era of Large
  Language Models from the Perspective of Position Bias
Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias
Anshuman Chhabra
Hadi Askari
Prasant Mohapatra
36
18
0
03 Jan 2024
On Context Utilization in Summarization with Large Language Models
On Context Utilization in Summarization with Large Language Models
Mathieu Ravaut
Aixin Sun
Nancy F. Chen
Chenyu You
39
13
0
16 Oct 2023
Calibrating Likelihoods towards Consistency in Summarization Models
Calibrating Likelihoods towards Consistency in Summarization Models
Polina Zablotskaia
Misha Khalman
Rishabh Joshi
Livio Baldini Soares
Shoshana Jakobovits
Joshua Maynez
Shashi Narayan
31
3
0
12 Oct 2023
Core-sets for Fair and Diverse Data Summarization
Core-sets for Fair and Diverse Data Summarization
S. Mahabadi
S. Trajanovski
30
1
0
12 Oct 2023
Teach LLMs to Personalize -- An Approach inspired by Writing Education
Teach LLMs to Personalize -- An Approach inspired by Writing Education
Cheng Li
Mingyang Zhang
Qiaozhu Mei
Yaqing Wang
Spurthi Amba Hombaiah
Yi Liang
Michael Bendersky
AI4Ed
45
33
0
15 Aug 2023
SMILE: Evaluation and Domain Adaptation for Social Media Language
  Understanding
SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding
Vasilisa Bashlovkina
Riley Matthews
Zhaobin Kuang
Simon Baumgartner
Michael Bendersky
40
4
0
30 Jun 2023
GUMSum: Multi-Genre Data and Evaluation for English Abstractive
  Summarization
GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarization
Yang Liu
Amir Zeldes
ELM
29
2
0
20 Jun 2023
Summarization from Leaderboards to Practice: Choosing A Representation
  Backbone and Ensuring Robustness
Summarization from Leaderboards to Practice: Choosing A Representation Backbone and Ensuring Robustness
David Demeter
Oshin Agarwal
Simon Ben Igeri
Marko Sterbentz
Neil P. Molino
John M. Conroy
A. Nenkova
29
1
0
18 Jun 2023
Domain Aligned Prefix Averaging for Domain Generalization in Abstractive
  Summarization
Domain Aligned Prefix Averaging for Domain Generalization in Abstractive Summarization
Pranav Ajit Nair
Sukomal Pal
Pradeepika Verm
MoMe
34
2
0
26 May 2023
Topic-Guided Self-Introduction Generation for Social Media Users
Topic-Guided Self-Introduction Generation for Social Media Users
Chunpu Xu
Jing Li
Pijian Li
Min Yang
36
0
0
24 May 2023
USB: A Unified Summarization Benchmark Across Tasks and Domains
USB: A Unified Summarization Benchmark Across Tasks and Domains
Kundan Krishna
Prakhar Gupta
S. Ramprasad
Byron C. Wallace
Jeffrey P. Bigham
Zachary Chase Lipton
HILM
43
8
0
23 May 2023
InheritSumm: A General, Versatile and Compact Summarizer by Distilling
  from GPT
InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT
Yichong Xu
Ruochen Xu
Dan Iter
Yang Liu
Shuohang Wang
Chenguang Zhu
Michael Zeng
19
10
0
22 May 2023
Recent Trends in Unsupervised Summarization
Recent Trends in Unsupervised Summarization
Mohammad Khosravani
Amine Trabelsi
37
0
0
18 May 2023
PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive
  Summarization
PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarization
Xinbei Ma
Yeyun Gong
Pengcheng He
Hai Zhao
Nan Duan
42
2
0
11 May 2023
Unified Demonstration Retriever for In-Context Learning
Unified Demonstration Retriever for In-Context Learning
Xiaonan Li
Kai Lv
Hang Yan
Tianya Lin
Wei-wei Zhu
Yuan Ni
Guotong Xie
Xiaoling Wang
Xipeng Qiu
RALM
VPVLM
27
121
0
07 May 2023
On Uncertainty Calibration and Selective Generation in Probabilistic
  Neural Summarization: A Benchmark Study
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study
Polina Zablotskaia
Du Phan
Joshua Maynez
Shashi Narayan
Jie Jessie Ren
J. Liu
UQLM
UQCV
27
18
0
17 Apr 2023
Extractive Summarization via ChatGPT for Faithful Summary Generation
Extractive Summarization via ChatGPT for Faithful Summary Generation
Haopeng Zhang
Xiao Liu
Jiawei Zhang
38
76
0
09 Apr 2023
SPEC: Summary Preference Decomposition for Low-Resource Abstractive
  Summarization
SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization
Yi-Syuan Chen
Yun-Zhu Song
Hong-Han Shuai
33
6
0
24 Mar 2023
Data Portraits: Recording Foundation Model Training Data
Data Portraits: Recording Foundation Model Training Data
Marc Marone
Benjamin Van Durme
143
30
0
06 Mar 2023
Learning to Initialize: Can Meta Learning Improve Cross-task
  Generalization in Prompt Tuning?
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?
Chengwei Qin
Q. Li
Ruochen Zhao
Chenyu You
VLM
LRM
23
15
0
16 Feb 2023
Towards Inferential Reproducibility of Machine Learning Research
Towards Inferential Reproducibility of Machine Learning Research
Michael Hagmann
Philipp Meier
Stefan Riezler
29
2
0
08 Feb 2023
Curriculum-Guided Abstractive Summarization
Curriculum-Guided Abstractive Summarization
Sajad Sotudeh
Hanieh Deilamsalehy
Franck Dernoncourt
Nazli Goharian
35
1
0
02 Feb 2023
A comprehensive review of automatic text summarization techniques:
  method, data, evaluation and coding
A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding
D. Cajueiro
A. G. Nery
Igor Tavares
Maísa Kely de Melo
Silvia A. dos Reis
Weigang Li
V. R. R. Celestino
33
15
0
04 Jan 2023
Follow the Timeline! Generating Abstractive and Extractive Timeline
  Summary in Chronological Order
Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order
Preslav Nakov
Li Mingzhe
Shen Gao
Zhangming Chan
Dongyan Zhao
Xin Gao
Xiangliang Zhang
Rui Yan
139
4
0
02 Jan 2023
Improving the Robustness of Summarization Models by Detecting and
  Removing Input Noise
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise
Kundan Krishna
Yao-Min Zhao
Jie Jessie Ren
Balaji Lakshminarayanan
Jiaming Luo
Mohammad Saleh
Peter J. Liu
36
4
0
20 Dec 2022
RISE: Leveraging Retrieval Techniques for Summarization Evaluation
RISE: Leveraging Retrieval Techniques for Summarization Evaluation
David C. Uthus
Jianmo Ni
RALM
19
0
0
17 Dec 2022
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization
Chao Zhao
Faeze Brahman
Kaiqiang Song
Wenlin Yao
Dian Yu
Snigdha Chaturvedi
HILM
26
7
0
02 Dec 2022
UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot
  Summarization
UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization
Yulong Chen
Yang Liu
Ruochen Xu
Ziyi Yang
Chenguang Zhu
Michael Zeng
Yue Zhang
32
17
0
17 Nov 2022
123
Next