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. 2306.00186
  4. Cited By
Factually Consistent Summarization via Reinforcement Learning with
  Textual Entailment Feedback

Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback

31 May 2023
Paul Roit
Johan Ferret
Lior Shani
Roee Aharoni
Geoffrey Cideron
Robert Dadashi
M. Geist
Sertan Girgin
Léonard Hussenot
Orgad Keller
Nikola Momchev
Sabela Ramos
Piotr Stańczyk
Nino Vieillard
Olivier Bachem
G. Elidan
Avinatan Hassidim
Olivier Pietquin
Idan Szpektor
    HILM
ArXivPDFHTML

Papers citing "Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback"

14 / 14 papers shown
Title
Learning to Summarize from LLM-generated Feedback
Learning to Summarize from LLM-generated Feedback
Hwanjun Song
Taewon Yun
Yuho Lee
Jihwan Oh
Gihun Lee
Jason (Jinglun) Cai
Hang Su
73
2
0
28 Jan 2025
RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs
RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs
Jiaxing Wu
Lin Ning
Luyang Liu
Harrison Lee
Neo Wu
Chao Wang
Sushant Prakash
S. O’Banion
Bradley Green
Jun Xie
71
1
0
20 Jan 2025
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
Yannis Flet-Berliac
Nathan Grinsztajn
Florian Strub
Bill Wu
Eugene Choi
...
Arash Ahmadian
Yash Chandak
M. G. Azar
Olivier Pietquin
Matthieu Geist
OffRL
64
5
0
17 Jan 2025
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset
Khaoula Chehbouni
Jonathan Colaço-Carr
Yash More
Jackie CK Cheung
G. Farnadi
78
0
0
12 Nov 2024
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models
Michael Noukhovitch
Shengyi Huang
Sophie Xhonneux
Arian Hosseini
Rishabh Agarwal
Aaron C. Courville
OffRL
79
5
0
23 Oct 2024
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large
  Language Models
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
Qitan Lv
Jie Wang
Hanzhu Chen
Bin Li
Yongdong Zhang
Feng Wu
HILM
28
3
0
19 Oct 2024
WARP: On the Benefits of Weight Averaged Rewarded Policies
WARP: On the Benefits of Weight Averaged Rewarded Policies
Alexandre Ramé
Johan Ferret
Nino Vieillard
Robert Dadashi
Léonard Hussenot
Pierre-Louis Cedoz
Pier Giuseppe Sessa
Sertan Girgin
Arthur Douillard
Olivier Bachem
56
14
0
24 Jun 2024
Teaching Language Models to Self-Improve by Learning from Language
  Feedback
Teaching Language Models to Self-Improve by Learning from Language Feedback
Chi Hu
Yimin Hu
Hang Cao
Tong Xiao
Jingbo Zhu
LRM
VLM
35
4
0
11 Jun 2024
Self-Improving Robust Preference Optimization
Self-Improving Robust Preference Optimization
Eugene Choi
Arash Ahmadian
Matthieu Geist
Oilvier Pietquin
M. G. Azar
31
8
0
03 Jun 2024
CovRL: Fuzzing JavaScript Engines with Coverage-Guided Reinforcement
  Learning for LLM-based Mutation
CovRL: Fuzzing JavaScript Engines with Coverage-Guided Reinforcement Learning for LLM-based Mutation
Jueon Eom
Seyeon Jeong
Taekyoung Kwon
29
7
0
19 Feb 2024
Generalized Preference Optimization: A Unified Approach to Offline
  Alignment
Generalized Preference Optimization: A Unified Approach to Offline Alignment
Yunhao Tang
Z. Guo
Zeyu Zheng
Daniele Calandriello
Rémi Munos
Mark Rowland
Pierre Harvey Richemond
Michal Valko
Bernardo Avila-Pires
Bilal Piot
32
88
0
08 Feb 2024
Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable
  Features
Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features
Hannah Rashkin
David Reitter
Gaurav Singh Tomar
Dipanjan Das
167
101
0
14 Jul 2021
Understanding Factuality in Abstractive Summarization with FRANK: A
  Benchmark for Factuality Metrics
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
Artidoro Pagnoni
Vidhisha Balachandran
Yulia Tsvetkov
HILM
231
305
0
27 Apr 2021
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
280
1,595
0
18 Sep 2019
1