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Transferable text data distillation by trajectory matching
v1v2 (latest)

Transferable text data distillation by trajectory matching

14 April 2025
Rong Yao
Hailin Hu
Yifei Fu
Hanting Chen
Wenyi Fang
Fanyi Du
Kai Han
Yunhe Wang
ArXiv (abs)PDFHTML

Papers citing "Transferable text data distillation by trajectory matching"

24 / 24 papers shown
Title
DiLM: Distilling Dataset into Language Model for Text-level Dataset
  Distillation
DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation
Aru Maekawa
Satoshi Kosugi
Kotaro Funakoshi
Manabu Okumura
DD
97
11
0
30 Mar 2024
Dataset Quantization
Dataset Quantization
Daquan Zhou
Kaixin Wang
Jianyang Gu
Xiang Peng
Dongze Lian
Yifan Zhang
Yang You
Jiashi Feng
DD
79
41
0
21 Aug 2023
Evaluating Instruction-Tuned Large Language Models on Code Comprehension
  and Generation
Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation
Zhiqiang Yuan
Junwei Liu
Qiancheng Zi
Wentai Deng
Xin Peng
Xin Peng
ALMELMLRM
66
80
0
02 Aug 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MHALM
307
11,894
0
18 Jul 2023
PaLM 2 Technical Report
PaLM 2 Technical Report
Rohan Anil
Andrew M. Dai
Orhan Firat
Melvin Johnson
Dmitry Lepikhin
...
Ce Zheng
Wei Zhou
Denny Zhou
Slav Petrov
Yonghui Wu
ReLMLRM
191
1,192
0
17 May 2023
OpenAssistant Conversations -- Democratizing Large Language Model
  Alignment
OpenAssistant Conversations -- Democratizing Large Language Model Alignment
Andreas Kopf
Yannic Kilcher
Dimitri von Rutte
Sotiris Anagnostidis
Zhi Rui Tam
...
Arnav Dantuluri
Andrew Maguire
Christoph Schuhmann
Huu Nguyen
A. Mattick
ALMLM&MA
131
630
0
14 Apr 2023
Data Selection for Language Models via Importance Resampling
Data Selection for Language Models via Importance Resampling
Sang Michael Xie
Shibani Santurkar
Tengyu Ma
Percy Liang
114
191
0
06 Feb 2023
The Flan Collection: Designing Data and Methods for Effective
  Instruction Tuning
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
Shayne Longpre
Le Hou
Tu Vu
Albert Webson
Hyung Won Chung
...
Denny Zhou
Quoc V. Le
Barret Zoph
Jason W. Wei
Adam Roberts
ALM
108
670
0
31 Jan 2023
Data Distillation: A Survey
Data Distillation: A Survey
Noveen Sachdeva
Julian McAuley
DD
86
77
0
11 Jan 2023
OPT: Open Pre-trained Transformer Language Models
OPT: Open Pre-trained Transformer Language Models
Susan Zhang
Stephen Roller
Naman Goyal
Mikel Artetxe
Moya Chen
...
Daniel Simig
Punit Singh Koura
Anjali Sridhar
Tianlu Wang
Luke Zettlemoyer
VLMOSLMAI4CE
336
3,667
0
02 May 2022
Dataset Distillation by Matching Training Trajectories
Dataset Distillation by Matching Training Trajectories
George Cazenavette
Tongzhou Wang
Antonio Torralba
Alexei A. Efros
Jun-Yan Zhu
FedMLDD
182
388
0
22 Mar 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&RoLRMAI4CEReLM
817
9,576
0
28 Jan 2022
Dataset Condensation with Distribution Matching
Dataset Condensation with Distribution Matching
Bo Zhao
Hakan Bilen
DD
77
307
0
08 Oct 2021
The Trade-offs of Domain Adaptation for Neural Language Models
The Trade-offs of Domain Adaptation for Neural Language Models
David Grangier
Dan Iter
54
21
0
21 Sep 2021
On the Complementarity of Data Selection and Fine Tuning for Domain
  Adaptation
On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation
Dan Iter
David Grangier
75
9
0
15 Sep 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
477
10,367
0
17 Jun 2021
Data Distillation for Text Classification
Data Distillation for Text Classification
Chak Tou Leong
Wenjie Li
DD
145
30
0
17 Apr 2021
Dataset Condensation with Differentiable Siamese Augmentation
Dataset Condensation with Differentiable Siamese Augmentation
Bo Zhao
Hakan Bilen
DD
260
300
0
16 Feb 2021
Measuring Massive Multitask Language Understanding
Measuring Massive Multitask Language Understanding
Dan Hendrycks
Collin Burns
Steven Basart
Andy Zou
Mantas Mazeika
Basel Alomair
Jacob Steinhardt
ELMRALM
182
4,526
0
07 Sep 2020
Flexible Dataset Distillation: Learn Labels Instead of Images
Flexible Dataset Distillation: Learn Labels Instead of Images
Ondrej Bohdal
Yongxin Yang
Timothy M. Hospedales
DD
83
110
0
15 Jun 2020
Dataset Condensation with Gradient Matching
Dataset Condensation with Gradient Matching
Bo Zhao
Konda Reddy Mopuri
Hakan Bilen
DD
116
497
0
10 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
817
42,055
0
28 May 2020
Soft-Label Dataset Distillation and Text Dataset Distillation
Soft-Label Dataset Distillation and Text Dataset Distillation
Ilia Sucholutsky
Matthias Schonlau
DD
137
135
0
06 Oct 2019
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning
  Challenge
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Peter Clark
Isaac Cowhey
Oren Etzioni
Tushar Khot
Ashish Sabharwal
Carissa Schoenick
Oyvind Tafjord
ELMRALMLRM
162
2,610
0
14 Mar 2018
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