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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 / 950 papers shown
Tensor-Aware Energy Accounting
Tensor-Aware Energy Accounting
Timur Babakol
Yu David Liu
154
5
0
19 Nov 2023
The Curious Decline of Linguistic Diversity: Training Language Models on
  Synthetic Text
The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text
Yanzhu Guo
Guokan Shang
Michalis Vazirgiannis
Chloé Clavel
430
97
0
16 Nov 2023
GistScore: Learning Better Representations for In-Context Example
  Selection with Gist Bottlenecks
GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks
Shivanshu Gupta
Clemens Rosenbaum
Ethan R. Elenberg
LRM
232
9
0
16 Nov 2023
MELA: Multilingual Evaluation of Linguistic Acceptability
MELA: Multilingual Evaluation of Linguistic AcceptabilityAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Ziyin Zhang
Yikang Liu
Wei-Ping Huang
Junyu Mao
Rui Wang
Hai Hu
300
15
0
15 Nov 2023
DALA: A Distribution-Aware LoRA-Based Adversarial Attack against
  Language Models
DALA: A Distribution-Aware LoRA-Based Adversarial Attack against Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yibo Wang
Xiangjue Dong
James Caverlee
Philip S. Yu
271
0
0
14 Nov 2023
How Well Do Large Language Models Understand Syntax? An Evaluation by
  Asking Natural Language Questions
How Well Do Large Language Models Understand Syntax? An Evaluation by Asking Natural Language Questions
Houquan Zhou
Yang Hou
Zhenghua Li
Xuebin Wang
Zhefeng Wang
Xinyu Duan
Min Zhang
ELM
234
7
0
14 Nov 2023
How are Prompts Different in Terms of Sensitivity?
How are Prompts Different in Terms of Sensitivity?North American Chapter of the Association for Computational Linguistics (NAACL), 2023
Sheng Lu
Hendrik Schuff
Iryna Gurevych
304
28
0
13 Nov 2023
STEER: Unified Style Transfer with Expert Reinforcement
STEER: Unified Style Transfer with Expert ReinforcementConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Skyler Hallinan
Faeze Brahman
Ximing Lu
Jaehun Jung
Sean Welleck
Yejin Choi
OffRL
181
17
0
13 Nov 2023
Mirror: A Universal Framework for Various Information Extraction Tasks
Mirror: A Universal Framework for Various Information Extraction Tasks
Tong Zhu
Junfei Ren
Zijian Yu
Mengsong Wu
Guoliang Zhang
Xiaoye Qu
Wenliang Chen
Zhefeng Wang
Baoxing Huai
Min Zhang
333
17
0
09 Nov 2023
Large GPT-like Models are Bad Babies: A Closer Look at the Relationship
  between Linguistic Competence and Psycholinguistic Measures
Large GPT-like Models are Bad Babies: A Closer Look at the Relationship between Linguistic Competence and Psycholinguistic Measures
Julius Steuer
Marius Mosbach
Dietrich Klakow
141
14
0
08 Nov 2023
Language Models are Super Mario: Absorbing Abilities from Homologous
  Models as a Free Lunch
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LunchInternational Conference on Machine Learning (ICML), 2023
Le Yu
Yu Bowen
Haiyang Yu
Fei Huang
Yongbin Li
MoMe
565
499
0
06 Nov 2023
Not all layers are equally as important: Every Layer Counts BERT
Not all layers are equally as important: Every Layer Counts BERT
Lucas Georges Gabriel Charpentier
David Samuel
258
24
0
03 Nov 2023
Ling-CL: Understanding NLP Models through Linguistic Curricula
Ling-CL: Understanding NLP Models through Linguistic CurriculaConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Mohamed Elgaar
Hadi Amiri
232
4
0
31 Oct 2023
Evaluating Neural Language Models as Cognitive Models of Language
  Acquisition
Evaluating Neural Language Models as Cognitive Models of Language Acquisition
Héctor Javier Vázquez Martínez
Annika Lea Heuser
Charles D. Yang
Jordan Kodner
226
13
0
31 Oct 2023
Mean BERTs make erratic language teachers: the effectiveness of latent
  bootstrapping in low-resource settings
Mean BERTs make erratic language teachers: the effectiveness of latent bootstrapping in low-resource settings
David Samuel
180
4
0
30 Oct 2023
Outlier Dimensions Encode Task-Specific Knowledge
Outlier Dimensions Encode Task-Specific KnowledgeConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
William Rudman
Catherine Chen
Carsten Eickhoff
283
9
0
26 Oct 2023
torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free
  Deep Learning Studies: A Case Study on NLP
torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP
Yoshitomo Matsubara
VLM
251
1
0
26 Oct 2023
Understanding the Role of Input Token Characters in Language Models: How
  Does Information Loss Affect Performance?
Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Ahmed Alajrami
Katerina Margatina
Nikolaos Aletras
AAML
144
3
0
26 Oct 2023
How well can machine-generated texts be identified and can language
  models be trained to avoid identification?
How well can machine-generated texts be identified and can language models be trained to avoid identification?
Sinclair Schneider
Florian Steuber
João A. G. Schneider
Gabi Dreo Rodosek
DeLMO
150
1
0
25 Oct 2023
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme
  Large Language Model Compression
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model CompressionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jiduan Liu
Jiahao Liu
Qifan Wang
Jingang Wang
Xunliang Cai
Dongyan Zhao
Ran Wang
Rui Yan
221
6
0
24 Oct 2023
Federated Learning of Large Language Models with Parameter-Efficient
  Prompt Tuning and Adaptive Optimization
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Tianshi Che
Ji Liu
Yang Zhou
Jiaxiang Ren
Jiwen Zhou
Victor S. Sheng
H. Dai
Dejing Dou
432
84
0
23 Oct 2023
Statistical Depth for Ranking and Characterizing Transformer-Based Text
  Embeddings
Statistical Depth for Ranking and Characterizing Transformer-Based Text EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Parker Seegmiller
S. Preum
307
4
0
23 Oct 2023
Information Value: Measuring Utterance Predictability as Distance from
  Plausible Alternatives
Information Value: Measuring Utterance Predictability as Distance from Plausible Alternatives
Mario Giulianelli
Sarenne Wallbridge
Raquel Fernández
191
17
0
20 Oct 2023
Zero-Shot Sharpness-Aware Quantization for Pre-trained Language Models
Zero-Shot Sharpness-Aware Quantization for Pre-trained Language Models
Miaoxi Zhu
Qihuang Zhong
Li Shen
Liang Ding
Juhua Liu
Bo Du
Dacheng Tao
MQVLM
173
2
0
20 Oct 2023
Breaking through Deterministic Barriers: Randomized Pruning Mask
  Generation and Selection
Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection
Jianwei Li
Weizhi Gao
Qi Lei
Dongkuan Xu
349
3
0
19 Oct 2023
A Predictive Factor Analysis of Social Biases and Task-Performance in
  Pretrained Masked Language Models
A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models
Yi Zhou
Jose Camacho-Collados
Danushka Bollegala
436
7
0
19 Oct 2023
Rethinking the Construction of Effective Metrics for Understanding the
  Mechanisms of Pretrained Language Models
Rethinking the Construction of Effective Metrics for Understanding the Mechanisms of Pretrained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
You Li
Jinhui Yin
Yuming Lin
186
0
0
19 Oct 2023
Measuring Pointwise $\mathcal{V}$-Usable Information In-Context-ly
Measuring Pointwise V\mathcal{V}V-Usable Information In-Context-ly
Sheng Lu
Shan Chen
Yingya Li
Danielle Bitterman
G. Savova
Iryna Gurevych
147
0
0
18 Oct 2023
SHARCS: Efficient Transformers through Routing with Dynamic Width
  Sub-networks
SHARCS: Efficient Transformers through Routing with Dynamic Width Sub-networksConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Mohammadreza Salehi
Sachin Mehta
Aditya Kusupati
Ali Farhadi
Hannaneh Hajishirzi
280
7
0
18 Oct 2023
Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning
Prototype-based HyperAdapter for Sample-Efficient Multi-task TuningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Hao Zhao
Jie Fu
Zhaofeng He
394
8
0
18 Oct 2023
A State-Vector Framework for Dataset Effects
A State-Vector Framework for Dataset EffectsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
E. Sahak
Zining Zhu
Frank Rudzicz
220
1
0
17 Oct 2023
G10: Enabling An Efficient Unified GPU Memory and Storage Architecture
  with Smart Tensor Migrations
G10: Enabling An Efficient Unified GPU Memory and Storage Architecture with Smart Tensor Migrations
Haoyang Zhang
Yirui Eric Zhou
Yu Xue
Yiqi Liu
Jian Huang
110
34
0
13 Oct 2023
Split-and-Denoise: Protect large language model inference with local
  differential privacy
Split-and-Denoise: Protect large language model inference with local differential privacy
Peihua Mai
Ran Yan
Zhe Huang
Youjia Yang
Yan Pang
251
28
0
13 Oct 2023
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Yixiao Li
Yifan Yu
Chen Liang
Pengcheng He
Nikos Karampatziakis
Weizhu Chen
Tuo Zhao
MQ
546
194
0
12 Oct 2023
Faithfulness Measurable Masked Language Models
Faithfulness Measurable Masked Language ModelsInternational Conference on Machine Learning (ICML), 2023
Andreas Madsen
Siva Reddy
Sarath Chandar
236
5
0
11 Oct 2023
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated
  Learning
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning
Wang Lu
Hao Yu
Yongfeng Zhang
Damien Teney
Haohan Wang
Yiqiang Chen
Qiang Yang
Xing Xie
Xiangyang Ji
238
10
0
08 Oct 2023
Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM
  Inference?
Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Cheng Zhang
Jianyi Cheng
Ilia Shumailov
George A. Constantinides
Yiren Zhao
MQ
249
14
0
08 Oct 2023
Unleashing the Multilingual Encoder Potential: Boosting Zero-Shot
  Performance via Probability Calibration
Unleashing the Multilingual Encoder Potential: Boosting Zero-Shot Performance via Probability CalibrationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Ercong Nie
Helmut Schmid
Hinrich Schütze
UQCV
291
2
0
08 Oct 2023
Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models
Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models
Zihao Lin
Yan Sun
Yifan Shi
Xueqian Wang
Lifu Huang
Li Shen
Dacheng Tao
250
15
0
04 Oct 2023
Defending Against Authorship Identification Attacks
Defending Against Authorship Identification Attacks
Haining Wang
201
3
0
02 Oct 2023
JCoLA: Japanese Corpus of Linguistic Acceptability
JCoLA: Japanese Corpus of Linguistic AcceptabilityInternational Conference on Language Resources and Evaluation (LREC), 2023
Taiga Someya
Yushi Sugimoto
Yohei Oseki
215
13
0
22 Sep 2023
Natural Language Embedded Programs for Hybrid Language Symbolic
  Reasoning
Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning
Tianhua Zhang
Jiaxin Ge
Hongyin Luo
Yung-Sung Chuang
Mingye Gao
Yuan Gong
Xixin Wu
Yoon Kim
Helen M. Meng
James R. Glass
LRMReLM
348
24
0
19 Sep 2023
The Impact of Debiasing on the Performance of Language Models in
  Downstream Tasks is Underestimated
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is UnderestimatedInternational Joint Conference on Natural Language Processing (IJCNLP), 2023
Masahiro Kaneko
Danushka Bollegala
Naoaki Okazaki
230
8
0
16 Sep 2023
Anchor Points: Benchmarking Models with Much Fewer Examples
Anchor Points: Benchmarking Models with Much Fewer ExamplesConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Rajan Vivek
Kawin Ethayarajh
Diyi Yang
Douwe Kiela
ALM
329
44
0
14 Sep 2023
Hydra: Multi-head Low-rank Adaptation for Parameter Efficient
  Fine-tuning
Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuningNeural Networks (Neural Netw.), 2023
Sanghyeon Kim
Hyunmo Yang
Younghyun Kim
Youngjoon Hong
Eunbyung Park
AI4CE
212
31
0
13 Sep 2023
Text Encoders Lack Knowledge: Leveraging Generative LLMs for
  Domain-Specific Semantic Textual Similarity
Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual SimilarityIEEE Games Entertainment Media Conference (IEEE GEM), 2023
Joseph Gatto
Omar Sharif
Parker Seegmiller
Philip Bohlman
S. Preum
147
13
0
12 Sep 2023
DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning
DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuningInternational Conference on Learning Representations (ICLR), 2023
Zhengxiang Shi
Aldo Lipani
VLM
528
41
0
11 Sep 2023
SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment
  to Cultural Reasoning
SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural ReasoningNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Bin Wang
Zhengyuan Liu
Xin Huang
Fangkai Jiao
Yang Ding
Ai Ti Aw
Nancy F. Chen
LRM
377
98
0
09 Sep 2023
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style
  Transfer
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style TransferAAAI Conference on Artificial Intelligence (AAAI), 2023
Zachary Horvitz
Ajay Patel
Chris Callison-Burch
Zhou Yu
Kathleen McKeown
DiffM
250
18
0
29 Aug 2023
UniPT: Universal Parallel Tuning for Transfer Learning with Efficient
  Parameter and Memory
UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and MemoryComputer Vision and Pattern Recognition (CVPR), 2023
Haiwen Diao
Bo Wan
Yanzhe Zhang
Xuecong Jia
Huchuan Lu
Long Chen
VLM
242
27
0
28 Aug 2023
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