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. 2112.00791
  4. Cited By
Controlling Conditional Language Models without Catastrophic Forgetting

Controlling Conditional Language Models without Catastrophic Forgetting

1 December 2021
Tomasz Korbak
Hady ElSahar
Germán Kruszewski
Marc Dymetman
    CLL
    AI4CE
ArXivPDFHTML

Papers citing "Controlling Conditional Language Models without Catastrophic Forgetting"

11 / 11 papers shown
Title
Self-Data Distillation for Recovering Quality in Pruned Large Language Models
Self-Data Distillation for Recovering Quality in Pruned Large Language Models
Vithursan Thangarasa
Ganesh Venkatesh
Mike Lasby
Nish Sinnadurai
Sean Lie
SyDa
38
1
0
13 Oct 2024
Reasoning Elicitation in Language Models via Counterfactual Feedback
Reasoning Elicitation in Language Models via Counterfactual Feedback
Alihan Hüyük
Xinnuo Xu
Jacqueline Maasch
Aditya V. Nori
Javier González
ReLM
LRM
154
1
0
02 Oct 2024
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
Yupeng Chen
Senmiao Wang
Zhihang Lin
Zhihang Lin
Yushun Zhang
Tian Ding
Ruoyu Sun
Ruoyu Sun
CLL
80
1
0
30 Jul 2024
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential
  Behavior Comprehension in Recommendation
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
Jianghao Lin
Rongjie Shan
Chenxu Zhu
Kounianhua Du
Bo Chen
Shigang Quan
Ruiming Tang
Yong Yu
Weinan Zhang
LRM
40
78
0
22 Aug 2023
PEER: A Collaborative Language Model
PEER: A Collaborative Language Model
Timo Schick
Jane Dwivedi-Yu
Zhengbao Jiang
Fabio Petroni
Patrick Lewis
Gautier Izacard
Qingfei You
Christoforos Nalmpantis
Edouard Grave
Sebastian Riedel
ALM
50
93
0
24 Aug 2022
On Reinforcement Learning and Distribution Matching for Fine-Tuning
  Language Models with no Catastrophic Forgetting
On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting
Tomasz Korbak
Hady ElSahar
Germán Kruszewski
Marc Dymetman
CLL
25
50
0
01 Jun 2022
Gradient-Based Constrained Sampling from Language Models
Gradient-Based Constrained Sampling from Language Models
Sachin Kumar
Biswajit Paria
Yulia Tsvetkov
BDL
30
53
0
25 May 2022
Entity-level Factual Consistency of Abstractive Text Summarization
Entity-level Factual Consistency of Abstractive Text Summarization
Feng Nan
Ramesh Nallapati
Zhiguo Wang
Cicero Nogueira dos Santos
Henghui Zhu
Dejiao Zhang
Kathleen McKeown
Bing Xiang
HILM
144
157
0
18 Feb 2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding
  and Generation
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu
Daya Guo
Shuo Ren
Junjie Huang
Alexey Svyatkovskiy
...
Nan Duan
Neel Sundaresan
Shao Kun Deng
Shengyu Fu
Shujie Liu
ELM
201
853
0
09 Feb 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
279
1,996
0
31 Dec 2020
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
289
1,595
0
18 Sep 2019
1