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Character-level Convolutional Networks for Text Classification

Character-level Convolutional Networks for Text Classification

4 September 2015
Xiang Zhang
Jun Zhao
Yann LeCun
ArXivPDFHTML

Papers citing "Character-level Convolutional Networks for Text Classification"

50 / 896 papers shown
Title
In-Context Learning with Iterative Demonstration Selection
In-Context Learning with Iterative Demonstration Selection
Chengwei Qin
Aston Zhang
Chong Chen
Anirudh Dagar
Wenming Ye
LRM
78
42
0
31 Dec 2024
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning
Weihang Chen
Jie Ren
Zhiqiang Li
Ling Gao
Zehao Wang
AI4CE
125
0
0
10 Dec 2024
Weak-to-Strong Generalization Through the Data-Centric Lens
Weak-to-Strong Generalization Through the Data-Centric Lens
Changho Shin
John Cooper
Frederic Sala
96
6
0
05 Dec 2024
Streamlined Federated Unlearning: Unite as One to Be Highly Efficient
Lei Zhou
Youwen Zhu
Qiao Xue
Ji Zhang
Pengfei Zhang
MU
96
1
0
28 Nov 2024
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation
Haiyang Yu
Tian Xie
Jiaping Gui
Pengyang Wang
P. Yi
Yue Wu
56
1
0
17 Nov 2024
CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs
CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs
Suhas S Kowshik
Abhishek Divekar
Vijit Malik
SyDa
45
0
0
13 Nov 2024
Confidence Calibration of Classifiers with Many Classes
Confidence Calibration of Classifiers with Many Classes
Adrien LeCoz
Stéphane Herbin
Faouzi Adjed
UQCV
44
1
0
05 Nov 2024
DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios
DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios
Junchao Wu
Runzhe Zhan
Derek F. Wong
Shu Yang
Xinyi Yang
Yulin Yuan
Lidia S. Chao
DeLMO
60
2
0
31 Oct 2024
MultiTok: Variable-Length Tokenization for Efficient LLMs Adapted from LZW Compression
MultiTok: Variable-Length Tokenization for Efficient LLMs Adapted from LZW Compression
Noel Elias
H. Esfahanizadeh
Kaan Kale
S. Vishwanath
Muriel Médard
38
0
0
28 Oct 2024
Energy-Based Diffusion Language Models for Text Generation
Energy-Based Diffusion Language Models for Text Generation
Minkai Xu
Tomas Geffner
Karsten Kreis
Weili Nie
Yilun Xu
J. Leskovec
Stefano Ermon
Arash Vahdat
DiffM
63
9
0
28 Oct 2024
On the Vulnerability of Text Sanitization
On the Vulnerability of Text Sanitization
Meng Tong
Kejiang Chen
Xiaojian Yuang
Jing Liu
Weixi Zhang
Nenghai Yu
Jie Zhang
55
0
0
22 Oct 2024
Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors
Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors
Mayank Nagda
Phil Ostheimer
Sophie Fellenz
54
0
0
22 Oct 2024
Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models
Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models
Yuheng Lu
Bingshuo Qian
Caixia Yuan
Huixing Jiang
Xiaojie Wang
CLL
34
0
0
22 Oct 2024
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
Fengyu Gao
Ruida Zhou
T. Wang
Cong Shen
Jing Yang
41
2
0
15 Oct 2024
Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbation
Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbation
Guozhi Liu
Weiwei Lin
Tiansheng Huang
Ruichao Mo
Qi Mu
Li Shen
AAML
69
11
0
13 Oct 2024
Inference and Verbalization Functions During In-Context Learning
Inference and Verbalization Functions During In-Context Learning
Junyi Tao
Xiaoyin Chen
Nelson F. Liu
LRM
ReLM
26
1
0
12 Oct 2024
Dynamic Post-Hoc Neural Ensemblers
Dynamic Post-Hoc Neural Ensemblers
Sebastian Pineda Arango
Maciej Janowski
Lennart Purucker
Arber Zela
Frank Hutter
Josif Grabocka
UQCV
46
0
0
06 Oct 2024
Wrong-of-Thought: An Integrated Reasoning Framework with
  Multi-Perspective Verification and Wrong Information
Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information
Yongheng Zhang
Qiguang Chen
Jingxuan Zhou
Peng Wang
Jiasheng Si
Jin Wang
Wenpeng Lu
Libo Qin
LRM
54
4
0
06 Oct 2024
Demystifying the Token Dynamics of Deep Selective State Space Models
Demystifying the Token Dynamics of Deep Selective State Space Models
Thieu N. Vo
Tung D. Pham
Xin T. Tong
Tan Minh Nguyen
Mamba
54
0
0
04 Oct 2024
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter
  Merging
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging
Yiming Ju
Ziyi Ni
Xingrun Xing
Zhixiong Zeng
hanyu Zhao
Siqi Fan
Zheng Zhang
MoMe
44
2
0
01 Oct 2024
The Lou Dataset -- Exploring the Impact of Gender-Fair Language in
  German Text Classification
The Lou Dataset -- Exploring the Impact of Gender-Fair Language in German Text Classification
Andreas Waldis
Joel Birrer
Anne Lauscher
Iryna Gurevych
43
1
0
26 Sep 2024
Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses
Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses
Mathieu Bazinet
Valentina Zantedeschi
Pascal Germain
MLT
AI4CE
39
2
0
26 Sep 2024
Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data
Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data
Lukas Heine
Fabian Horst
Jana Fragemann
Gijs Luijten
M. Balzer
Jan Egger
F. Bahnsen
M. Sarfraz
Jens Kleesiek
30
0
0
25 Sep 2024
ToxiCraft: A Novel Framework for Synthetic Generation of Harmful Information
ToxiCraft: A Novel Framework for Synthetic Generation of Harmful Information
Zheng Hui
Zhaoxiao Guo
Hang Zhao
Juanyong Duan
Congrui Huang
56
6
0
23 Sep 2024
Drift to Remember
Drift to Remember
Jin Du
Xinsong Zhang
Hao Shen
Xun Xian
Ganghua Wang
Jiawei Zhang
Yuhong Yang
Na Li
Jia Liu
Jie Ding
CLL
26
0
0
21 Sep 2024
On-Device Collaborative Language Modeling via a Mixture of Generalists and Specialists
On-Device Collaborative Language Modeling via a Mixture of Generalists and Specialists
Dongyang Fan
Bettina Messmer
N. Doikov
Martin Jaggi
MoMe
MoE
55
2
0
20 Sep 2024
Explaining Datasets in Words: Statistical Models with Natural Language Parameters
Explaining Datasets in Words: Statistical Models with Natural Language Parameters
Ruiqi Zhong
Heng Wang
Dan Klein
Jacob Steinhardt
42
6
0
13 Sep 2024
MILE: A Mutation Testing Framework of In-Context Learning Systems
MILE: A Mutation Testing Framework of In-Context Learning Systems
Zeming Wei
Yihao Zhang
Meng Sun
55
0
0
07 Sep 2024
Buffer-based Gradient Projection for Continual Federated Learning
Buffer-based Gradient Projection for Continual Federated Learning
Shenghong Dai
Jy-yong Sohn
Yicong Chen
S. Alam
Ravikumar Balakrishnan
Suman Banerjee
N. Himayat
Kangwook Lee
FedML
75
2
0
03 Sep 2024
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models
Sepehr Kamahi
Yadollah Yaghoobzadeh
55
0
0
21 Aug 2024
Range Membership Inference Attacks
Range Membership Inference Attacks
Jiashu Tao
Reza Shokri
48
1
0
09 Aug 2024
Enhancing Financial Market Predictions: Causality-Driven Feature
  Selection
Enhancing Financial Market Predictions: Causality-Driven Feature Selection
Wenhao Liang
Zhengyang Li
Weitong Chen
AIFin
56
0
0
02 Aug 2024
CERT-ED: Certifiably Robust Text Classification for Edit Distance
CERT-ED: Certifiably Robust Text Classification for Edit Distance
Zhuoqun Huang
Yipeng Wang
Seunghee Shin
Benjamin I. P. Rubinstein
AAML
58
1
0
01 Aug 2024
TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods
TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods
Gabriel Loiseau
Damien Sileo
Damien Riquet
Maxime Meyer
Marc Tommasi
46
0
0
31 Jul 2024
Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost
Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost
Sania Nayab
Giulio Rossolini
Giorgio Buttazzo
Nicolamaria Manes
F. Giacomelli
Nicolamaria Manes
Fabrizio Giacomelli
LRM
62
28
0
29 Jul 2024
Explanation Regularisation through the Lens of Attributions
Explanation Regularisation through the Lens of Attributions
Pedro Ferreira
Wilker Aziz
Ivan Titov
51
1
0
23 Jul 2024
Hard Prompts Made Interpretable: Sparse Entropy Regularization for
  Prompt Tuning with RL
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
Yunseon Choi
Sangmin Bae
Seonghyun Ban
Minchan Jeong
Chuheng Zhang
Lei Song
Wei Xiong
Jiang Bian
Kee-Eung Kim
VLM
AAML
38
3
0
20 Jul 2024
Prompting Techniques for Secure Code Generation: A Systematic Investigation
Prompting Techniques for Secure Code Generation: A Systematic Investigation
Catherine Tony
Nicolás E. Díaz Ferreyra
Markus Mutas
Salem Dhiff
Riccardo Scandariato
SILM
82
9
0
09 Jul 2024
Crafting Large Language Models for Enhanced Interpretability
Crafting Large Language Models for Enhanced Interpretability
Chung-En Sun
Tuomas P. Oikarinen
Tsui-Wei Weng
38
7
0
05 Jul 2024
Defense Against Syntactic Textual Backdoor Attacks with Token
  Substitution
Defense Against Syntactic Textual Backdoor Attacks with Token Substitution
Xinglin Li
Xianwen He
Yao Li
Minhao Cheng
26
1
0
04 Jul 2024
MAPO: Boosting Large Language Model Performance with Model-Adaptive
  Prompt Optimization
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
Yuyan Chen
Zhihao Wen
Ge Fan
Zhengyu Chen
Wei Wu
Dayiheng Liu
Zhixu Li
Bang Liu
Yanghua Xiao
41
18
0
04 Jul 2024
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
Wataru Hashimoto
Hidetaka Kamigaito
Taro Watanabe
66
0
0
02 Jul 2024
CPT: Consistent Proxy Tuning for Black-box Optimization
CPT: Consistent Proxy Tuning for Black-box Optimization
Yuanyang He
Zitong Huang
Xinxing Xu
Rick Siow Mong Goh
Salman Khan
W. Zuo
Yong Liu
Chun-Mei Feng
48
0
0
01 Jul 2024
DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative Denoising
DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative Denoising
Zhenhao Li
Huichi Zhou
Marek Rei
Lucia Specia
DiffM
39
0
0
28 Jun 2024
LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models
LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models
Shouchang Guo
Sonam Damani
Keng-hao Chang
VLM
36
1
0
27 Jun 2024
Unlocking Continual Learning Abilities in Language Models
Unlocking Continual Learning Abilities in Language Models
Wenyu Du
Shuang Cheng
Tongxu Luo
Zihan Qiu
Zeyu Huang
Ka Chun Cheung
Reynold Cheng
Jie Fu
KELM
CLL
56
7
0
25 Jun 2024
Token-based Decision Criteria Are Suboptimal in In-context Learning
Token-based Decision Criteria Are Suboptimal in In-context Learning
Hakaze Cho
Yoshihiro Sakai
Mariko Kato
Kenshiro Tanaka
Akira Ishii
Naoya Inoue
48
3
0
24 Jun 2024
What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering
What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering
Federico Errica
G. Siracusano
D. Sanvito
Roberto Bifulco
82
20
0
18 Jun 2024
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Rudrajit Das
Inderjit S Dhillon
Alessandro Epasto
Adel Javanmard
Jieming Mao
Vahab Mirrokni
Sujay Sanghavi
Peilin Zhong
61
2
0
17 Jun 2024
WeShap: Weak Supervision Source Evaluation with Shapley Values
WeShap: Weak Supervision Source Evaluation with Shapley Values
Naiqing Guan
Nick Koudas
63
0
0
16 Jun 2024
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