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Neural Network Acceptability Judgments
v1v2v3 (latest)

Neural Network Acceptability Judgments

31 May 2018
Alex Warstadt
Amanpreet Singh
Samuel R. Bowman
ArXiv (abs)PDFHTML

Papers citing "Neural Network Acceptability Judgments"

50 / 894 papers shown
Title
Learning to Reason via Program Generation, Emulation, and Search
Learning to Reason via Program Generation, Emulation, and Search
Nathaniel Weir
Muhammad Khalifa
Linlu Qiu
Orion Weller
Peter Clark
SyDaReLMLRM
147
9
0
25 May 2024
Filtered Corpus Training (FiCT) Shows that Language Models can
  Generalize from Indirect Evidence
Filtered Corpus Training (FiCT) Shows that Language Models can Generalize from Indirect Evidence
Abhinav Patil
Jaap Jumelet
Yu Ying Chiu
Andy Lapastora
Peter Shen
Lexie Wang
Clevis Willrich
Shane Steinert-Threlkeld
78
15
0
24 May 2024
DAGER: Exact Gradient Inversion for Large Language Models
DAGER: Exact Gradient Inversion for Large Language Models
Ivo Petrov
Dimitar I. Dimitrov
Maximilian Baader
Mark Niklas Muller
Martin Vechev
FedML
90
5
0
24 May 2024
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated
  AI-enabled Critical Infrastructure
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure
Zehang Deng
Ruoxi Sun
Minhui Xue
Sheng Wen
S. Çamtepe
Surya Nepal
Yang Xiang
81
1
0
24 May 2024
VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks
VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks
Yang Li
Shaobo Han
Shihao Ji
MoE
78
18
0
24 May 2024
EMR-Merging: Tuning-Free High-Performance Model Merging
EMR-Merging: Tuning-Free High-Performance Model Merging
Chenyu Huang
Peng Ye
Tao Chen
Tong He
Xiangyu Yue
Wanli Ouyang
MoMe
84
45
0
23 May 2024
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
Yongxin Guo
Zhenglin Cheng
Xiaoying Tang
Tao R. Lin
Tao Lin
MoE
198
9
0
23 May 2024
Dynamic Context Adaptation and Information Flow Control in Transformers:
  Introducing the Evaluator Adjuster Unit and Gated Residual Connections
Dynamic Context Adaptation and Information Flow Control in Transformers: Introducing the Evaluator Adjuster Unit and Gated Residual Connections
Sahil Rajesh Dhayalkar
39
1
0
22 May 2024
Comparative Analysis of Different Efficient Fine Tuning Methods of Large
  Language Models (LLMs) in Low-Resource Setting
Comparative Analysis of Different Efficient Fine Tuning Methods of Large Language Models (LLMs) in Low-Resource Setting
Krishna Prasad Varadarajan Srinivasan
Prasanth Gumpena
Madhusudhana Yattapu
Vishal H. Brahmbhatt
34
1
0
21 May 2024
Effective In-Context Example Selection through Data Compression
Effective In-Context Example Selection through Data Compression
Zhongxiang Sun
Kepu Zhang
Haoyu Wang
Xiao Zhang
Jun Xu
109
2
0
19 May 2024
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
Pengxiang Lan
Enneng Yang
Yuting Liu
Guibing Guo
Linying Jiang
Jianzhe Zhao
Xingwei Wang
VLMAAML
76
1
0
19 May 2024
Keep It Private: Unsupervised Privatization of Online Text
Keep It Private: Unsupervised Privatization of Online Text
Calvin Bao
Marine Carpuat
DeLMO
84
3
0
16 May 2024
DEPTH: Discourse Education through Pre-Training Hierarchically
DEPTH: Discourse Education through Pre-Training Hierarchically
Zachary Bamberger
Ofek Glick
Chaim Baskin
Yonatan Belinkov
126
0
0
13 May 2024
From Human Judgements to Predictive Models: Unravelling Acceptability in Code-Mixed Sentences
From Human Judgements to Predictive Models: Unravelling Acceptability in Code-Mixed Sentences
Prashant Kodali
Anmol Goel
Likhith Asapu
Vamshi Krishna Bonagiri
Anirudh Govil
Monojit Choudhury
Manish Shrivastava
Ponnurangam Kumaraguru
74
4
0
09 May 2024
SPAFIT: Stratified Progressive Adaptation Fine-tuning for Pre-trained
  Large Language Models
SPAFIT: Stratified Progressive Adaptation Fine-tuning for Pre-trained Large Language Models
Samir Arora
Liangliang Wang
34
0
0
30 Apr 2024
Knowledge Distillation vs. Pretraining from Scratch under a Fixed
  (Computation) Budget
Knowledge Distillation vs. Pretraining from Scratch under a Fixed (Computation) Budget
Minh Duc Bui
Fabian David Schmidt
Goran Glavaš
Katharina von der Wense
58
1
0
30 Apr 2024
More Room for Language: Investigating the Effect of Retrieval on
  Language Models
More Room for Language: Investigating the Effect of Retrieval on Language Models
David Samuel
Lucas Georges Gabriel Charpentier
Sondre Wold
LRMRALMKELM
65
2
0
16 Apr 2024
Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models
Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models
Tanmay Gautam
Youngsuk Park
Hao Zhou
Parameswaran Raman
Wooseok Ha
100
17
0
11 Apr 2024
PORTULAN ExtraGLUE Datasets and Models: Kick-starting a Benchmark for
  the Neural Processing of Portuguese
PORTULAN ExtraGLUE Datasets and Models: Kick-starting a Benchmark for the Neural Processing of Portuguese
T. Osório
Bernardo Leite
Henrique Lopes Cardoso
Luís Gomes
João Rodrigues
Rodrigo Santos
António Branco
78
3
0
08 Apr 2024
Data Bias According to Bipol: Men are Naturally Right and It is the Role
  of Women to Follow Their Lead
Data Bias According to Bipol: Men are Naturally Right and It is the Role of Women to Follow Their Lead
Irene Pagliai
G. V. Boven
Tosin Adewumi
Lama Alkhaled
Namrata Gurung
Isabella Sodergren
Elisa Barney
75
1
0
07 Apr 2024
A Morphology-Based Investigation of Positional Encodings
A Morphology-Based Investigation of Positional Encodings
Poulami Ghosh
Shikhar Vashishth
Raj Dabre
Pushpak Bhattacharyya
68
2
0
06 Apr 2024
Polarity Calibration for Opinion Summarization
Polarity Calibration for Opinion Summarization
Yuanyuan Lei
Kaiqiang Song
Sangwoo Cho
Xiaoyang Wang
Ruihong Huang
Dong Yu
65
0
0
02 Apr 2024
LayerNorm: A key component in parameter-efficient fine-tuning
LayerNorm: A key component in parameter-efficient fine-tuning
Taha ValizadehAslani
Hualou Liang
80
1
0
29 Mar 2024
Adverb Is the Key: Simple Text Data Augmentation with Adverb Deletion
Adverb Is the Key: Simple Text Data Augmentation with Adverb Deletion
Juhwan Choi
Youngbin Kim
66
0
0
29 Mar 2024
A Two-Phase Recall-and-Select Framework for Fast Model Selection
A Two-Phase Recall-and-Select Framework for Fast Model Selection
Jianwei Cui
Wenhang Shi
Honglin Tao
Wei Lu
Xiaoyong Du
89
0
0
28 Mar 2024
Constructions Are So Difficult That Even Large Language Models Get Them
  Right for the Wrong Reasons
Constructions Are So Difficult That Even Large Language Models Get Them Right for the Wrong Reasons
Shijia Zhou
Leonie Weissweiler
Taiqi He
Hinrich Schütze
David R. Mortensen
Lori S. Levin
90
9
0
26 Mar 2024
Incorporating Exponential Smoothing into MLP: A Simple but Effective
  Sequence Model
Incorporating Exponential Smoothing into MLP: A Simple but Effective Sequence Model
Jiqun Chu
Zuoquan Lin
AI4TS
68
2
0
26 Mar 2024
Monotonic Paraphrasing Improves Generalization of Language Model
  Prompting
Monotonic Paraphrasing Improves Generalization of Language Model Prompting
Qin Liu
Fei Wang
Nan Xu
Tianyi Yan
Tao Meng
Muhao Chen
LRM
89
8
0
24 Mar 2024
Adapprox: Adaptive Approximation in Adam Optimization via Randomized
  Low-Rank Matrices
Adapprox: Adaptive Approximation in Adam Optimization via Randomized Low-Rank Matrices
Pengxiang Zhao
Ping Li
Yingjie Gu
Yi Zheng
Stephan Ludger Kölker
Zhefeng Wang
Xiaoming Yuan
47
1
0
22 Mar 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
69
0
0
22 Mar 2024
A Unified Framework for Model Editing
A Unified Framework for Model Editing
Akshat Gupta
Dev Sajnani
Gopala Anumanchipalli
KELM
137
38
0
21 Mar 2024
Automatic Annotation of Grammaticality in Child-Caregiver Conversations
Automatic Annotation of Grammaticality in Child-Caregiver Conversations
Mitja Nikolaus
Abhishek Agrawal
Petros Kaklamanis
Alex Warstadt
Abdellah Fourtassi
68
3
0
21 Mar 2024
Do Not Worry if You Do Not Have Data: Building Pretrained Language
  Models Using Translationese
Do Not Worry if You Do Not Have Data: Building Pretrained Language Models Using Translationese
Meet Doshi
Raj Dabre
Pushpak Bhattacharyya
SyDa
70
2
0
20 Mar 2024
Generalizable and Stable Finetuning of Pretrained Language Models on
  Low-Resource Texts
Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts
Sai Ashish Somayajula
Youwei Liang
Abhishek Singh
Li Zhang
Pengtao Xie
80
2
0
19 Mar 2024
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient
  Low-Rank Adaptation of Large Pre-trained Models
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models
Rushi Qiang
Ruiyi Zhang
Pengtao Xie
AI4CE
72
10
0
19 Mar 2024
Using Shapley interactions to understand how models use structure
Using Shapley interactions to understand how models use structure
Divyansh Singhvi
Andrej Erkelens
Raghav Jain
Diganta Misra
Isabel Papadimitriou
Naomi Saphra
52
0
0
19 Mar 2024
A Closer Look at Claim Decomposition
A Closer Look at Claim Decomposition
Miriam Wanner
Seth Ebner
Zhengping Jiang
Mark Dredze
Benjamin Van Durme
96
24
0
18 Mar 2024
Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A
  Brain-Inspired Method for Parameter-Efficient Fine-Tuning
Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A Brain-Inspired Method for Parameter-Efficient Fine-Tuning
Yao Liang
Yuwei Wang
Yang Li
Yi Zeng
100
2
0
12 Mar 2024
Enhancing Transfer Learning with Flexible Nonparametric Posterior
  Sampling
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
Hyungi Lee
G. Nam
Edwin Fong
Juho Lee
BDL
75
6
0
12 Mar 2024
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
Xin Wang
Yu Zheng
Zhongwei Wan
Mi Zhang
MQ
157
63
0
12 Mar 2024
Rebuilding ROME : Resolving Model Collapse during Sequential Model
  Editing
Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing
Akshat Gupta
Sidharth Baskaran
Gopala Anumanchipalli
KELM
132
34
0
11 Mar 2024
Hybrid Human-LLM Corpus Construction and LLM Evaluation for Rare
  Linguistic Phenomena
Hybrid Human-LLM Corpus Construction and LLM Evaluation for Rare Linguistic Phenomena
Leonie Weissweiler
Abdullatif Köksal
Hinrich Schütze
86
5
0
11 Mar 2024
Automatic and Universal Prompt Injection Attacks against Large Language
  Models
Automatic and Universal Prompt Injection Attacks against Large Language Models
Xiaogeng Liu
Zhiyuan Yu
Yizhe Zhang
Ning Zhang
Chaowei Xiao
SILMAAML
88
49
0
07 Mar 2024
Language Models Represent Beliefs of Self and Others
Language Models Represent Beliefs of Self and Others
Wentao Zhu
Zhining Zhang
Yizhou Wang
MILMLRM
94
10
0
28 Feb 2024
Variational Learning is Effective for Large Deep Networks
Variational Learning is Effective for Large Deep Networks
Yuesong Shen
Nico Daheim
Bai Cong
Peter Nickl
Gian Maria Marconi
...
Rio Yokota
Iryna Gurevych
Daniel Cremers
Mohammad Emtiyaz Khan
Thomas Möllenhoff
91
31
0
27 Feb 2024
Sinkhorn Distance Minimization for Knowledge Distillation
Sinkhorn Distance Minimization for Knowledge Distillation
Xiao Cui
Yulei Qin
Yuting Gao
Enwei Zhang
Zihan Xu
Tong Wu
Ke Li
Xing Sun
Wen-gang Zhou
Houqiang Li
82
8
0
27 Feb 2024
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
Pengjie Ren
Chengshun Shi
Shiguang Wu
Mengqi Zhang
Zhaochun Ren
Maarten de Rijke
Zhumin Chen
Jiahuan Pei
MoE
204
13
0
27 Feb 2024
Layer-wise Regularized Dropout for Neural Language Models
Layer-wise Regularized Dropout for Neural Language Models
Shiwen Ni
Min Yang
Ruifeng Xu
Chengming Li
Xiping Hu
46
0
0
26 Feb 2024
LoRA Meets Dropout under a Unified Framework
LoRA Meets Dropout under a Unified Framework
Sheng Wang
Liheng Chen
Jiyue Jiang
Boyang Xue
Lingpeng Kong
Chuan Wu
77
17
0
25 Feb 2024
Towards Efficient Active Learning in NLP via Pretrained Representations
Towards Efficient Active Learning in NLP via Pretrained Representations
Artem Vysogorets
Achintya Gopal
64
0
0
23 Feb 2024
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