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Neural Network Acceptability Judgments

Neural Network Acceptability Judgments

31 May 2018
Alex Warstadt
Amanpreet Singh
Samuel R. Bowman
ArXivPDFHTML

Papers citing "Neural Network Acceptability Judgments"

50 / 877 papers shown
Title
DeltaEdit: Enhancing Sequential Editing in Large Language Models by Controlling Superimposed Noise
DeltaEdit: Enhancing Sequential Editing in Large Language Models by Controlling Superimposed Noise
Ding Cao
Yuchen Cai
Rongxi Guo
X. He
Guiquan Liu
KELM
42
0
0
12 May 2025
Steering Large Language Models with Register Analysis for Arbitrary Style Transfer
Steering Large Language Models with Register Analysis for Arbitrary Style Transfer
Xinchen Yang
Marine Carpuat
LLMSV
153
0
0
01 May 2025
Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors
Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors
Xinyu Ding
Lexuan Chen
Siyu Liao
Zhongfeng Wang
45
0
0
01 May 2025
Block Circulant Adapter for Large Language Models
Block Circulant Adapter for Large Language Models
Xinyu Ding
Meiqi Wang
Siyu Liao
Zhongfeng Wang
31
0
0
01 May 2025
TT-LoRA MoE: Unifying Parameter-Efficient Fine-Tuning and Sparse Mixture-of-Experts
TT-LoRA MoE: Unifying Parameter-Efficient Fine-Tuning and Sparse Mixture-of-Experts
Pradip Kunwar
Minh Vu
Maanak Gupta
Mahmoud Abdelsalam
Manish Bhattarai
MoE
MoMe
121
0
0
29 Apr 2025
Evaluating LLMs on Chinese Topic Constructions: A Research Proposal Inspired by Tian et al. (2024)
Evaluating LLMs on Chinese Topic Constructions: A Research Proposal Inspired by Tian et al. (2024)
Xiaodong Yang
27
0
0
21 Apr 2025
Investigating Syntactic Biases in Multilingual Transformers with RC Attachment Ambiguities in Italian and English
Investigating Syntactic Biases in Multilingual Transformers with RC Attachment Ambiguities in Italian and English
Michael Kamerath
Aniello De Santo
19
0
0
14 Apr 2025
Confidence Regularized Masked Language Modeling using Text Length
Confidence Regularized Masked Language Modeling using Text Length
Seunghyun Ji
Soowon Lee
31
0
0
08 Apr 2025
FISH-Tuning: Enhancing PEFT Methods with Fisher Information
FISH-Tuning: Enhancing PEFT Methods with Fisher Information
Kang Xue
Ming Dong
Xinhui Tu
Tingting He
28
0
0
05 Apr 2025
Enhancing LLM Robustness to Perturbed Instructions: An Empirical Study
Enhancing LLM Robustness to Perturbed Instructions: An Empirical Study
Aryan Agrawal
Lisa Alazraki
Shahin Honarvar
Marek Rei
49
0
0
03 Apr 2025
AdaRank: Adaptive Rank Pruning for Enhanced Model Merging
AdaRank: Adaptive Rank Pruning for Enhanced Model Merging
Chanhyuk Lee
Jiho Choi
Chanryeol Lee
Donggyun Kim
Seunghoon Hong
MoMe
50
0
0
28 Mar 2025
MSPLoRA: A Multi-Scale Pyramid Low-Rank Adaptation for Efficient Model Fine-Tuning
MSPLoRA: A Multi-Scale Pyramid Low-Rank Adaptation for Efficient Model Fine-Tuning
Jiancheng Zhao
Xingda Yu
Zhen Yang
MoE
57
1
0
27 Mar 2025
Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
Pieyi Zhang
Richong Zhang
Zhijie Nie
VLM
62
0
0
23 Mar 2025
NdLinear Is All You Need for Representation Learning
NdLinear Is All You Need for Representation Learning
Alex Reneau
Jerry Yao-Chieh Hu
Zhongfang Zhuang
Ting-Chun Liu
HAI
44
0
0
21 Mar 2025
Harnessing Test-time Adaptation for NLU tasks Involving Dialects of English
Harnessing Test-time Adaptation for NLU tasks Involving Dialects of English
Duke Nguyen
Aditya Joshi
Flora D. Salim
44
0
0
17 Mar 2025
MoLEx: Mixture of Layer Experts for Finetuning with Sparse Upcycling
R. Teo
T. Nguyen
MoE
58
2
0
14 Mar 2025
ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration
Mengting Ai
Tianxin Wei
Yifan Chen
Zhichen Zeng
Ritchie Zhao
G. Varatkar
B. Rouhani
Xianfeng Tang
Hanghang Tong
Jingrui He
MoE
47
1
0
10 Mar 2025
Detection Avoidance Techniques for Large Language Models
Sinclair Schneider
Florian Steuber
João A. G. Schneider
Gabi Dreo Rodosek
DeLMO
78
0
0
10 Mar 2025
Seeing Delta Parameters as JPEG Images: Data-Free Delta Compression with Discrete Cosine Transform
C. Huang
Peng Ye
X. Wang
Shenghe Zheng
Biqing Qi
Lei Bai
Wanli Ouyang
Tao Chen
31
0
0
09 Mar 2025
PGAD: Prototype-Guided Adaptive Distillation for Multi-Modal Learning in AD Diagnosis
Yanfei Li
Teng Yin
Wenyi Shang
J. Liu
Xi Wang
Kaiyang Zhao
MedIm
37
0
0
05 Mar 2025
Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace
Jia-Chen Zhang
Yu-Jie Xiong
Chun-Ming Xia
Dong-Hai Zhu
Xi-He Qiu
64
1
0
03 Mar 2025
LoR2C : Low-Rank Residual Connection Adaptation for Parameter-Efficient Fine-Tuning
Jiancheng Zhao
Xingda Yu
Yuxiang Zhang
Zhen Yang
OffRL
31
0
0
01 Mar 2025
MobiLLM: Enabling LLM Fine-Tuning on the Mobile Device via Server Assisted Side Tuning
MobiLLM: Enabling LLM Fine-Tuning on the Mobile Device via Server Assisted Side Tuning
Liang Li
Xingke Yang
Wen Wu
Hao Wang
Tomoaki Ohtsuki
Xin Fu
M. Pan
Xuemin Shen
36
1
0
27 Feb 2025
Revisiting Kernel Attention with Correlated Gaussian Process Representation
Revisiting Kernel Attention with Correlated Gaussian Process Representation
Long Minh Bui
Tho Tran Huu
Duy-Tung Dinh
T. Nguyen
Trong Nghia Hoang
46
2
0
27 Feb 2025
Norm Growth and Stability Challenges in Localized Sequential Knowledge Editing
Norm Growth and Stability Challenges in Localized Sequential Knowledge Editing
Akshat Gupta
Christine Fang
Atahan Ozdemir
Maochuan Lu
Ahmed Alaa
Thomas Hartvigsen
Gopala Anumanchipalli
KELM
33
0
0
26 Feb 2025
CAMEx: Curvature-aware Merging of Experts
CAMEx: Curvature-aware Merging of Experts
Dung V. Nguyen
Minh H. Nguyen
Luc Q. Nguyen
R. Teo
T. Nguyen
Linh Duy Tran
MoMe
83
2
0
26 Feb 2025
CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging
Zongzhen Yang
Binhang Qi
Hailong Sun
Wenrui Long
Ruobing Zhao
Xiang Gao
MoMe
48
0
0
26 Feb 2025
Mixup Model Merge: Enhancing Model Merging Performance through Randomized Linear Interpolation
Mixup Model Merge: Enhancing Model Merging Performance through Randomized Linear Interpolation
Yue Zhou
Yi-Ju Chang
Yuan Wu
MoMe
58
2
0
24 Feb 2025
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
Chenghao Fan
Zhenyi Lu
Sichen Liu
Xiaoye Qu
Wei Wei
Chengfeng Gu
Yu-Xi Cheng
MoE
130
0
0
24 Feb 2025
Using tournaments to calculate AUROC for zero-shot classification with LLMs
Using tournaments to calculate AUROC for zero-shot classification with LLMs
WonJin Yoon
Ian Bulovic
Timothy A. Miller
57
0
0
24 Feb 2025
Encryption-Friendly LLM Architecture
Encryption-Friendly LLM Architecture
Donghwan Rho
Taeseong Kim
Minje Park
Jung Woo Kim
Hyunsik Chae
Jung Hee Cheon
Ernest K. Ryu
52
2
0
24 Feb 2025
Tokenization is Sensitive to Language Variation
Tokenization is Sensitive to Language Variation
Anna Wegmann
Dong Nguyen
David Jurgens
77
1
0
24 Feb 2025
Are Sparse Autoencoders Useful? A Case Study in Sparse Probing
Are Sparse Autoencoders Useful? A Case Study in Sparse Probing
Subhash Kantamneni
Joshua Engels
Senthooran Rajamanoharan
Max Tegmark
Neel Nanda
59
5
0
23 Feb 2025
Scalable Model Merging with Progressive Layer-wise Distillation
Scalable Model Merging with Progressive Layer-wise Distillation
Jing Xu
Jiazheng Li
J. Zhang
MoMe
FedML
90
0
0
18 Feb 2025
An Efficient Row-Based Sparse Fine-Tuning
An Efficient Row-Based Sparse Fine-Tuning
Cen-Jhih Li
Aditya Bhaskara
54
0
0
17 Feb 2025
Reinforced Lifelong Editing for Language Models
Reinforced Lifelong Editing for Language Models
Zherui Li
Houcheng Jiang
Hao Chen
Baolong Bi
Z. Zhou
Fei Sun
Junfeng Fang
X. Wang
KELM
51
5
0
09 Feb 2025
CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models
CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models
Guanduo Chen
Yutong He
Yipeng Hu
Kun Yuan
Binhang Yuan
43
0
0
03 Feb 2025
Lifelong Sequential Knowledge Editing without Model Degradation
Lifelong Sequential Knowledge Editing without Model Degradation
Akshat Gupta
Phudish Prateepamornkul
Maochuan Lu
Ahmed Alaa
Thomas Hartvigsen
Gopala Anumanchipalli
KELM
72
1
0
03 Feb 2025
Understanding Why Adam Outperforms SGD: Gradient Heterogeneity in Transformers
Understanding Why Adam Outperforms SGD: Gradient Heterogeneity in Transformers
Akiyoshi Tomihari
Issei Sato
ODL
61
0
0
31 Jan 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Yibin Wang
H. Shi
Ligong Han
Dimitris N. Metaxas
Hao Wang
BDL
UQLM
110
6
0
28 Jan 2025
Reference-free Evaluation Metrics for Text Generation: A Survey
Reference-free Evaluation Metrics for Text Generation: A Survey
Takumi Ito
Kees van Deemter
Jun Suzuki
ELM
33
2
0
21 Jan 2025
A General Framework for Inference-time Scaling and Steering of Diffusion Models
A General Framework for Inference-time Scaling and Steering of Diffusion Models
R. Singhal
Zachary Horvitz
Ryan Teehan
Mengye Ren
Zhou Yu
Kathleen McKeown
Rajesh Ranganath
DiffM
61
15
0
17 Jan 2025
Breaking Memory Limits: Gradient Wavelet Transform Enhances LLMs Training
Breaking Memory Limits: Gradient Wavelet Transform Enhances LLMs Training
Ziqing Wen
Ping Luo
J. Wang
Xiaoge Deng
Jinping Zou
Kun Yuan
Tao Sun
Dongsheng Li
CLL
34
0
0
13 Jan 2025
GPT or BERT: why not both?
GPT or BERT: why not both?
Lucas Georges Gabriel Charpentier
David Samuel
47
5
0
31 Dec 2024
Learning from Impairment: Leveraging Insights from Clinical Linguistics
  in Language Modelling Research
Learning from Impairment: Leveraging Insights from Clinical Linguistics in Language Modelling Research
Dominique Brunato
74
0
0
20 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
88
5
0
05 Dec 2024
Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning
Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning
Kaustubh Ponkshe
Raghav Singhal
Eduard A. Gorbunov
Alexey Tumanov
Samuel Horváth
Praneeth Vepakomma
68
1
0
29 Nov 2024
LoRA-Mini : Adaptation Matrices Decomposition and Selective Training
LoRA-Mini : Adaptation Matrices Decomposition and Selective Training
Ayush Singh
Rajdeep Aher
Shivank Garg
69
1
0
24 Nov 2024
Mitigating Gender Bias in Contextual Word Embeddings
Mitigating Gender Bias in Contextual Word Embeddings
Navya Yarrabelly
Vinay Damodaran
Feng-Guang Su
67
0
0
18 Nov 2024
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
Chaeyun Jang
Hyungi Lee
Jungtaek Kim
Juho Lee
MoMe
39
0
0
11 Nov 2024
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