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. 2211.05041
  4. Cited By
MACSum: Controllable Summarization with Mixed Attributes

MACSum: Controllable Summarization with Mixed Attributes

9 November 2022
Yusen Zhang
Yang Liu
Ziyi Yang
Yuwei Fang
Yulong Chen
Dragomir R. Radev
Chenguang Zhu
Michael Zeng
Rui Zhang
ArXivPDFHTML

Papers citing "MACSum: Controllable Summarization with Mixed Attributes"

12 / 12 papers shown
Title
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset
  for Large Language Models
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models
Lemei Zhang
Peng Liu
Marcus Tiedemann Oekland Henriksboe
Even W. Lauvrak
J. Gulla
Heri Ramampiaro
16
1
0
04 Oct 2024
Adaptable Logical Control for Large Language Models
Adaptable Logical Control for Large Language Models
Honghua Zhang
Po-Nien Kung
Masahiro Yoshida
Guy Van den Broeck
Nanyun Peng
33
8
0
19 Jun 2024
Fair Abstractive Summarization of Diverse Perspectives
Fair Abstractive Summarization of Diverse Perspectives
Yusen Zhang
Nan Zhang
Yixin Liu
Alexander R. Fabbri
Junru Liu
...
Caiming Xiong
Jieyu Zhao
Dragomir R. Radev
Kathleen McKeown
Rui Zhang
21
6
0
14 Nov 2023
Generating Summaries with Controllable Readability Levels
Generating Summaries with Controllable Readability Levels
Leonardo F. R. Ribeiro
Mohit Bansal
Markus Dreyer
57
19
0
16 Oct 2023
Toward Unified Controllable Text Generation via Regular Expression
  Instruction
Toward Unified Controllable Text Generation via Regular Expression Instruction
Xin Zheng
Hongyu Lin
Xianpei Han
Le Sun
44
4
0
19 Sep 2023
Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for
  Designing Effective Conversational Systems
Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for Designing Effective Conversational Systems
Shivani Kumar
S. Bhatia
Milan Aggarwal
Tanmoy Chakraborty
19
1
0
14 Jul 2023
Investigating Table-to-Text Generation Capabilities of LLMs in
  Real-World Information Seeking Scenarios
Investigating Table-to-Text Generation Capabilities of LLMs in Real-World Information Seeking Scenarios
Yilun Zhao
Haowei Zhang
Shengyun Si
Linyong Nan
Xiangru Tang
Arman Cohan
LMTD
15
12
0
24 May 2023
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
24
17
0
17 Nov 2022
Controllable Summarization with Constrained Markov Decision Process
Controllable Summarization with Constrained Markov Decision Process
Hou Pong Chan
Lu Wang
Irwin King
199
20
0
07 Aug 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 2021
CTRLsum: Towards Generic Controllable Text Summarization
CTRLsum: Towards Generic Controllable Text Summarization
Junxian He
Wojciech Kry'sciñski
Bryan McCann
Nazneen Rajani
Caiming Xiong
211
138
0
08 Dec 2020
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
170
3,504
0
10 Jun 2015
1