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1906.03497
Cited By
This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
8 June 2019
Rui Zhang
Joel R. Tetreault
Re-assign community
ArXiv (abs)
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Papers citing
"This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation"
50 / 54 papers shown
Using item recommendations and LLMs in marketing email titles
Deddy Jobson
Muktti Shukla
Phuong Dinh
Julio Christian Young
Nick Pitton
Nina Chen
Ryan Ginstrom
179
0
0
27 Aug 2025
Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Dang Nguyen
Ali Payani
Baharan Mirzasoleiman
208
8
0
30 May 2025
Learning to Select In-Context Demonstration Preferred by Large Language Model
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Zheng Zhang
Shaocheng Lan
Lei Song
Jiang Bian
Yexin Li
Kan Ren
304
3
0
26 May 2025
D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Model
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Grace Byun
Jinho D. Choi
EGVM
381
1
0
18 Apr 2025
DUAL: Diversity and Uncertainty Active Learning for Text Summarization
Petros Stylianos Giouroukis
Alexios Gidiotis
Grigorios Tsoumakas
323
2
0
02 Mar 2025
A Survey of Uncertainty Estimation Methods on Large Language Models
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Zhiqiu Xia
Jinxuan Xu
Yuqian Zhang
Hang Liu
498
30
0
28 Feb 2025
Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility
International Conference on Learning Representations (ICLR), 2025
Martin Kuo
Jingyang Zhang
Jianyi Zhang
Minxue Tang
Louis DiValentin
...
William Chen
Amin Hass
Tianlong Chen
Yuxiao Chen
Haoyang Li
MU
KELM
456
9
0
24 Feb 2025
From Selection to Generation: A Survey of LLM-based Active Learning
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Yu Xia
Subhojyoti Mukherjee
Zhouhang Xie
Junda Wu
Xintong Li
...
Namyong Park
T. Nguyen
Jiebo Luo
Ryan Rossi
Julian McAuley
465
16
0
17 Feb 2025
The State and Fate of Summarization Datasets: A Survey
Noam Dahan
Gabriel Stanovsky
HILM
585
0
0
07 Nov 2024
Language Model-Driven Data Pruning Enables Efficient Active Learning
Abdul Hameed Azeemi
I. Qazi
Agha Ali Raza
VLM
343
5
0
05 Oct 2024
Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Lei Xu
Mohammed Asad Karim
Saket Dingliwal
Aparna Elangovan
216
5
0
03 Oct 2024
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
327
18
0
31 Jul 2024
Turning Generative Models Degenerate: The Power of Data Poisoning Attacks
Shuli Jiang
S. Kadhe
Yi Zhou
Praneet Adusumilli
Ling Cai
Nathalie Baracaldo
SILM
AAML
321
12
0
17 Jul 2024
A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models
Haopeng Zhang
Philip S. Yu
Jiawei Zhang
388
124
0
17 Jun 2024
Flexible and Adaptable Summarization via Expertise Separation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024
Preslav Nakov
Mingzhe Li
Shen Gao
Xin Cheng
Qingqing Zhu
Rui Yan
Xin Gao
Xiangliang Zhang
MoE
296
7
0
08 Jun 2024
Guiding ChatGPT to Generate Salient Domain Summaries
Jun Gao
Ziqiang Cao
Shaoyao Huang
Luozheng Qin
Chunhui Ai
343
1
0
03 Jun 2024
SPOT: Text Source Prediction from Originality Score Thresholding
Edouard Yvinec
Gabriel Kasser
DeLMO
221
0
0
30 May 2024
Talking Nonsense: Probing Large Language Models' Understanding of Adversarial Gibberish Inputs
Valeriia Cherepanova
James Zou
AAML
388
10
0
26 Apr 2024
S
e
2
Se^2
S
e
2
: Sequential Example Selection for In-Context Learning
Haoyu Liu
Jianfeng Liu
Shaohan Huang
Yuefeng Zhan
Hao Sun
Weiwei Deng
Furu Wei
Qi Zhang
302
7
0
21 Feb 2024
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
International Conference on Machine Learning (ICML), 2024
Mintong Kang
Nezihe Merve Gürel
Ning Yu
Basel Alomair
Yue Liu
547
32
0
05 Feb 2024
LM-Polygraph: Uncertainty Estimation for Language Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Ekaterina Fadeeva
Roman Vashurin
Akim Tsvigun
Artem Vazhentsev
Sergey Petrakov
...
Elizaveta Goncharova
Sergey Petrakov
Maxim Panov
Timothy Baldwin
Artem Shelmanov
367
123
0
13 Nov 2023
Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization
Conference on Computational Natural Language Learning (CoNLL), 2023
Ondrej Skopek
Rahul Aralikatte
Sian Gooding
Victor Carbune
ELM
363
23
0
12 Oct 2023
Adapting Large Language Models via Reading Comprehension
Daixuan Cheng
Shaohan Huang
Furu Wei
CLL
SyDa
AI4CE
383
64
0
18 Sep 2023
Does fine-tuning GPT-3 with the OpenAI API leak personally-identifiable information?
A. Sun
Eliott Zemour
Arushi Saxena
Udith Vaidyanathan
Eric Lin
Christian Lau
Vaikkunth Mugunthan
SILM
459
25
0
31 Jul 2023
Learning to Retrieve In-Context Examples for Large Language Models
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Liang Wang
Nan Yang
Furu Wei
RALM
273
64
0
14 Jul 2023
RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting
AAAI Conference on Artificial Intelligence (AAAI), 2023
Lei Shu
Liangchen Luo
Jayakumar Hoskere
Yun Zhu
Canoee Liu
Simon Tong
Jindong Chen
Lei Meng
KELM
LRM
418
82
0
25 May 2023
UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Daixuan Cheng
Shaohan Huang
Junyu Bi
Yu-Wei Zhan
Jianfeng Liu
Yujing Wang
Hao Sun
Furu Wei
Denvy Deng
Tao Gui
RALM
LRM
266
105
0
15 Mar 2023
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Chengwei Qin
Cunliang Kong
Ruochen Zhao
Shafiq Joty
VLM
LRM
433
17
0
16 Feb 2023
ERNIE 3.0 Tiny: Frustratingly Simple Method to Improve Task-Agnostic Distillation Generalization
Weixin Liu
Xuyi Chen
Jiaxiang Liu
Shi Feng
Yu Sun
Hao Tian
Hua Wu
337
6
0
09 Jan 2023
Active Learning for Abstractive Text Summarization
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Akim Tsvigun
Ivan Lysenko
Danila Sedashov
Ivan Lazichny
Eldar Damirov
...
Leonid Sanochkin
Maxim Panov
Sergey Petrakov
Andrey Kravchenko
Artem Shelmanov
367
14
0
09 Jan 2023
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
529
20
0
04 Jan 2023
Targeted Phishing Campaigns using Large Scale Language Models
Rabimba Karanjai
297
45
0
30 Dec 2022
Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework
Junzhuo Li
Xinwei Wu
Weilong Dong
Shuangzhi Wu
Chao Bian
Deyi Xiong
408
5
0
16 Dec 2022
Meeting Summarization: A Survey of the State of the Art
L. P. Kumar
Arman Kabiri
311
7
0
16 Dec 2022
Template-based Recruitment Email Generation For Job Recommendation
IEEE Games Entertainment Media Conference (GEM), 2022
Qiuchi Li
Christina Lioma
156
0
0
06 Dec 2022
UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Yulong Chen
Yang Liu
Ruochen Xu
Ziyi Yang
Chenguang Zhu
Michael Zeng
Yue Zhang
410
21
0
17 Nov 2022
Analyzing Multi-Task Learning for Abstractive Text Summarization
IEEE Games Entertainment Media Conference (GEM), 2022
Frederic Kirstein
Jan Philip Wahle
Terry Ruas
Bela Gipp
363
7
0
26 Oct 2022
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP
International Conference on Learning Representations (ICLR), 2022
Yufei Wang
Jiayi Zheng
Can Xu
Xiubo Geng
Tao Shen
Chongyang Tao
Daxin Jiang
VLM
MoE
252
3
0
21 Jun 2022
Language Models are General-Purpose Interfaces
Y. Hao
Haoyu Song
Li Dong
Shaohan Huang
Zewen Chi
Wenhui Wang
Shuming Ma
Furu Wei
MLLM
253
109
0
13 Jun 2022
Eliciting and Understanding Cross-Task Skills with Task-Level Mixture-of-Experts
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Qinyuan Ye
Juan Zha
Xiang Ren
MoE
350
16
0
25 May 2022
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning
V. Aribandi
Yi Tay
Tal Schuster
J. Rao
H. Zheng
...
Jianmo Ni
Jai Gupta
Kai Hui
Sebastian Ruder
Donald Metzler
MoE
432
236
0
22 Nov 2021
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
Tu Vu
Brian Lester
Noah Constant
Rami Al-Rfou
Daniel Cer
VLM
LRM
522
323
0
15 Oct 2021
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation
Marzena Karpinska
Nader Akoury
Mohit Iyyer
671
131
0
14 Sep 2021
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALM
UQCV
2.3K
4,857
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03 Sep 2021
A Survey on Dialogue Summarization: Recent Advances and New Frontiers
Xiachong Feng
Xiaocheng Feng
Bing Qin
384
119
0
07 Jul 2021
Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue
Findings (Findings), 2021
Alexios Gidiotis
Grigorios Tsoumakas
UQCV
UD
BDL
294
11
0
21 May 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
734
196
0
18 Apr 2021
AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Tiezheng Yu
Zihan Liu
Pascale Fung
CLL
368
85
0
21 Mar 2021
Meta-Transfer Learning for Low-Resource Abstractive Summarization
AAAI Conference on Artificial Intelligence (AAAI), 2021
Yi-Syuan Chen
Hong-Han Shuai
CLL
OffRL
371
41
0
18 Feb 2021
Muppet: Massive Multi-task Representations with Pre-Finetuning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Armen Aghajanyan
Anchit Gupta
Akshat Shrivastava
Xilun Chen
Luke Zettlemoyer
Sonal Gupta
289
296
0
26 Jan 2021
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