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ALLSH: Active Learning Guided by Local Sensitivity and Hardness

ALLSH: Active Learning Guided by Local Sensitivity and Hardness

10 May 2022
Shujian Zhang
Chengyue Gong
Xingchao Liu
Pengcheng He
Weizhu Chen
Mingyuan Zhou
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Papers citing "ALLSH: Active Learning Guided by Local Sensitivity and Hardness"

26 / 26 papers shown
Title
ALVIN: Active Learning Via INterpolation
ALVIN: Active Learning Via INterpolation
Michalis Korakakis
Andreas Vlachos
Adrian Weller
25
0
0
11 Oct 2024
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe
Yuxin Xiao
Shujian Zhang
Wenxuan Zhou
Marzyeh Ghassemi
Sanqiang Zhao
44
0
0
07 Oct 2024
Not All Preference Pairs Are Created Equal: A Recipe for
  Annotation-Efficient Iterative Preference Learning
Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning
Sen Yang
Leyang Cui
Deng Cai
Xinting Huang
Shuming Shi
Wai Lam
38
8
0
25 Jun 2024
Switchable Decision: Dynamic Neural Generation Networks
Switchable Decision: Dynamic Neural Generation Networks
Shujian Zhang
Korawat Tanwisuth
Chengyue Gong
Pengcheng He
Mi Zhou
BDL
28
0
0
07 May 2024
Enhancing Effectiveness and Robustness in a Low-Resource Regime via
  Decision-Boundary-aware Data Augmentation
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation
Kyohoon Jin
Junho Lee
Juhwan Choi
Sangmin Song
Youngbin Kim
29
0
0
22 Mar 2024
The Efficiency Spectrum of Large Language Models: An Algorithmic Survey
The Efficiency Spectrum of Large Language Models: An Algorithmic Survey
Tianyu Ding
Tianyi Chen
Haidong Zhu
Jiachen Jiang
Yiqi Zhong
Jinxin Zhou
Guangzhi Wang
Zhihui Zhu
Ilya Zharkov
Luming Liang
25
21
0
01 Dec 2023
Human Still Wins over LLM: An Empirical Study of Active Learning on
  Domain-Specific Annotation Tasks
Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks
Yuxuan Lu
Bingsheng Yao
Shao Zhang
Yun Wang
Peng Zhang
T. Lu
Toby Jia-Jun Li
Dakuo Wang
ALM
29
16
0
16 Nov 2023
More Samples or More Prompts? Exploring Effective In-Context Sampling
  for LLM Few-Shot Prompt Engineering
More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering
Bingsheng Yao
Guiming Hardy Chen
Ruishi Zou
Yuxuan Lu
Jiachen Li
Shao Zhang
Yisi Sang
Sijia Liu
James A. Hendler
Dakuo Wang
30
13
0
16 Nov 2023
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource
  Learners
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners
Yun Luo
Zhen Yang
Fandong Meng
Yingjie Li
Fang Guo
Qinglin Qi
Jie Zhou
Yue Zhang
13
1
0
09 Oct 2023
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers
Lukas Rauch
Matthias Aßenmacher
Denis Huseljic
Moritz Wirth
Bernd Bischl
Bernhard Sick
31
11
0
16 Jun 2023
Preference-grounded Token-level Guidance for Language Model Fine-tuning
Preference-grounded Token-level Guidance for Language Model Fine-tuning
Shentao Yang
Shujian Zhang
Congying Xia
Yihao Feng
Caiming Xiong
Mi Zhou
21
22
0
01 Jun 2023
ActiveAED: A Human in the Loop Improves Annotation Error Detection
ActiveAED: A Human in the Loop Improves Annotation Error Detection
Leon Weber
Barbara Plank
19
10
0
31 May 2023
Beyond Labels: Empowering Human Annotators with Natural Language
  Explanations through a Novel Active-Learning Architecture
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture
Bingsheng Yao
Ishan Jindal
Lucian Popa
Yannis Katsis
Sayan Ghosh
...
Yuxuan Lu
Shashank Srivastava
Yunyao Li
James A. Hendler
Dakuo Wang
27
10
0
22 May 2023
On the Limitations of Simulating Active Learning
On the Limitations of Simulating Active Learning
Katerina Margatina
Nikolaos Aletras
23
11
0
21 May 2023
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained
  models
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models
Korawat Tanwisuth
Shujian Zhang
Huangjie Zheng
Pengcheng He
Mingyuan Zhou
VLM
VPVLM
76
15
0
29 Apr 2023
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning
  for Task-oriented Dialogue Systems
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems
Yihao Feng
Shentao Yang
Shujian Zhang
Jianguo Zhang
Caiming Xiong
Mi Zhou
Haiquan Wang
OffRL
20
24
0
20 Feb 2023
A Prototype-Oriented Clustering for Domain Shift with Source Privacy
A Prototype-Oriented Clustering for Domain Shift with Source Privacy
Korawat Tanwisuth
Shujian Zhang
Pengcheng He
Mingyuan Zhou
21
3
0
08 Feb 2023
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader
  Models
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models
Shujian Zhang
Chengyue Gong
Xingchao Liu
RALM
32
6
0
02 Nov 2022
A Survey of Active Learning for Natural Language Processing
A Survey of Active Learning for Natural Language Processing
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
LM&MA
22
47
0
18 Oct 2022
A Unified Framework for Alternating Offline Model Training and Policy
  Learning
A Unified Framework for Alternating Offline Model Training and Policy Learning
Shentao Yang
Shujian Zhang
Yihao Feng
Mi Zhou
OffRL
31
16
0
12 Oct 2022
Regularizing a Model-based Policy Stationary Distribution to Stabilize
  Offline Reinforcement Learning
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning
Shentao Yang
Yihao Feng
Shujian Zhang
Mi Zhou
OffRL
26
10
0
14 Jun 2022
Bayesian Attention Modules
Bayesian Attention Modules
Xinjie Fan
Shujian Zhang
Bo Chen
Mingyuan Zhou
100
59
0
20 Oct 2020
Cold-start Active Learning through Self-supervised Language Modeling
Cold-start Active Learning through Self-supervised Language Modeling
Michelle Yuan
Hsuan-Tien Lin
Jordan L. Boyd-Graber
104
180
0
19 Oct 2020
Calibration of Pre-trained Transformers
Calibration of Pre-trained Transformers
Shrey Desai
Greg Durrett
UQLM
234
288
0
17 Mar 2020
Consistency-based Semi-supervised Active Learning: Towards Minimizing
  Labeling Cost
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost
M. Gao
Zizhao Zhang
Guo-Ding Yu
Sercan Ö. Arik
L. Davis
Tomas Pfister
151
194
0
16 Oct 2019
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
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