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TRACE: A Comprehensive Benchmark for Continual Learning in Large
  Language Models

TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

10 October 2023
Xiao Wang
Yuan Zhang
Tianze Chen
Songyang Gao
Senjie Jin
Xianjun Yang
Zhiheng Xi
Rui Zheng
Yicheng Zou
Tao Gui
Qi Zhang
Xuanjing Huang
    ALM
    LRM
    CLL
ArXivPDFHTML

Papers citing "TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models"

21 / 21 papers shown
Title
Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
Nikhil Shivakumar Nayak
Krishnateja Killamsetty
Ligong Han
Abhishek Bhandwaldar
Prateek Chanda
...
Hao Wang
Aldo Pareja
Oleg Silkin
Mustafa Eyceoz
Akash Srivastava
CLL
45
0
0
09 Apr 2025
Analytic Subspace Routing: How Recursive Least Squares Works in Continual Learning of Large Language Model
Analytic Subspace Routing: How Recursive Least Squares Works in Continual Learning of Large Language Model
Kai Tong
Kang Pan
Xiao Zhang
Erli Meng
Run He
Yawen Cui
Nuoyan Guo
Huiping Zhuang
KELM
CLL
57
0
0
17 Mar 2025
Teaching LLMs How to Learn with Contextual Fine-Tuning
Younwoo Choi
Muhammad Adil Asif
Ziwen Han
John Willes
Rahul G. Krishnan
LRM
33
0
0
12 Mar 2025
MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality
Shuaike Li
Kai Zhang
Q. Liu
Enhong Chen
KELM
73
1
0
04 Mar 2025
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
Gangwei Jiang
Caigao Jiang
Zhaoyi Li
Siqiao Xue
Jun-ping Zhou
Linqi Song
Defu Lian
Yin Wei
CLL
MU
56
0
0
16 Feb 2025
Bridging Interpretability and Robustness Using LIME-Guided Model
  Refinement
Bridging Interpretability and Robustness Using LIME-Guided Model Refinement
Navid Nayyem
Abdullah Rakin
Longwei Wang
AAML
FAtt
60
0
0
25 Dec 2024
Collaboratively adding new knowledge to an LLM
Collaboratively adding new knowledge to an LLM
Rhui Dih Lee
L. Wynter
CLL
MoMe
17
0
0
18 Oct 2024
Learning Attentional Mixture of LoRAs for Language Model Continual
  Learning
Learning Attentional Mixture of LoRAs for Language Model Continual Learning
Jialin Liu
Jianhua Wu
Jie Liu
Yutai Duan
KELM
CLL
MoMe
17
1
0
29 Sep 2024
Towards LifeSpan Cognitive Systems
Towards LifeSpan Cognitive Systems
Yu Wang
Chi Han
Tongtong Wu
Xiaoxin He
Wangchunshu Zhou
...
Zexue He
Wei Wang
Gholamreza Haffari
Heng Ji
Julian McAuley
KELM
CLL
86
1
0
20 Sep 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
72
1
0
30 Jul 2024
HFT: Half Fine-Tuning for Large Language Models
HFT: Half Fine-Tuning for Large Language Models
Tingfeng Hui
Zhenyu Zhang
Shuohuan Wang
Weiran Xu
Yu Sun
Hua-Hong Wu
CLL
37
4
0
29 Apr 2024
CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large
  Language Model
CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model
Cheng Chen
Junchen Zhu
Xu Luo
Hengtao Shen
Lianli Gao
Jingkuan Song
CLL
32
12
0
13 Mar 2024
Continual Learning for Large Language Models: A Survey
Continual Learning for Large Language Models: A Survey
Tongtong Wu
Linhao Luo
Yuan-Fang Li
Shirui Pan
Thuy-Trang Vu
Gholamreza Haffari
CLL
LRM
KELM
21
101
0
02 Feb 2024
Orthogonal Subspace Learning for Language Model Continual Learning
Orthogonal Subspace Learning for Language Model Continual Learning
Xiao Wang
Tianze Chen
Qiming Ge
Han Xia
Rong Bao
Rui Zheng
Qi Zhang
Tao Gui
Xuanjing Huang
CLL
112
85
0
22 Oct 2023
Continual Diffusion: Continual Customization of Text-to-Image Diffusion
  with C-LoRA
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA
James Smith
Yen-Chang Hsu
Lingyu Zhang
Ting Hua
Z. Kira
Yilin Shen
Hongxia Jin
DiffM
123
94
0
12 Apr 2023
Learn to Explain: Multimodal Reasoning via Thought Chains for Science
  Question Answering
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Pan Lu
Swaroop Mishra
Tony Xia
Liang Qiu
Kai-Wei Chang
Song-Chun Zhu
Oyvind Tafjord
Peter Clark
A. Kalyan
ELM
ReLM
LRM
207
1,089
0
20 Sep 2022
Fine-tuned Language Models are Continual Learners
Fine-tuned Language Models are Continual Learners
Thomas Scialom
Tuhin Chakrabarty
Smaranda Muresan
CLL
LRM
134
116
0
24 May 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
4,048
0
24 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
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
196
853
0
09 Feb 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
1