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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
Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Ability
Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Ability
Yusuke Sakai
Hidetaka Kamigaito
Taro Watanabe
LRM
24
0
0
18 Jun 2025
FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning
FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning
Ganyu Wang
Jinjie Fang
Maxwell J. Ying
Bin Gu
Xi Chen
Boyu Wang
Charles Ling
FedML
12
0
0
17 Jun 2025
Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models
Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models
Kyeonghyun Kim
Jinhee Jang
Juhwan Choi
Yoonji Lee
Kyohoon Jin
Youngbin Kim
12
0
0
09 Jun 2025
LoRMA: Low-Rank Multiplicative Adaptation for LLMs
LoRMA: Low-Rank Multiplicative Adaptation for LLMs
Harsh Bihany
Shubham Patel
Ashutosh Modi
10
0
0
09 Jun 2025
Not quite Sherlock Holmes: Language model predictions do not reliably differentiate impossible from improbable events
Not quite Sherlock Holmes: Language model predictions do not reliably differentiate impossible from improbable events
J. Michaelov
Reeka Estacio
Zhien Zhang
Benjamin Bergen
ReLMLRM
21
0
0
07 Jun 2025
Tau-Eval: A Unified Evaluation Framework for Useful and Private Text Anonymization
Tau-Eval: A Unified Evaluation Framework for Useful and Private Text Anonymization
Gabriel Loiseau
Damien Sileo
Damien Riquet
Maxime Meyer
Marc Tommasi
48
0
0
06 Jun 2025
Large Language Models are Demonstration Pre-Selectors for Themselves
Large Language Models are Demonstration Pre-Selectors for Themselves
Jiarui Jin
Yuwei Wu
Haoxuan Li
Xiaoting He
Weinan Zhang
Y. Yang
Yong Yu
Jun Wang
Mengyue Yang
47
0
0
06 Jun 2025
Dissecting Bias in LLMs: A Mechanistic Interpretability Perspective
Bhavik Chandna
Zubair Bashir
Procheta Sen
87
0
0
05 Jun 2025
PoLAR: Polar-Decomposed Low-Rank Adapter Representation
PoLAR: Polar-Decomposed Low-Rank Adapter Representation
Kai Lion
Liang Zhang
Bingcong Li
Niao He
53
0
0
03 Jun 2025
Explain-then-Process: Using Grammar Prompting to Enhance Grammatical Acceptability Judgments
Explain-then-Process: Using Grammar Prompting to Enhance Grammatical Acceptability Judgments
Russell Scheinberg
Ameeta Agrawal
Amber Shore
So Young Lee
ReLMLRM
21
0
0
02 Jun 2025
LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification
LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification
Shuzhou Yuan
Ercong Nie
Lukas Kouba
Ashish Yashwanth Kangen
Helmut Schmid
Hinrich Schütze
Michael Färber
52
0
0
02 Jun 2025
MAP: Revisiting Weight Decomposition for Low-Rank Adaptation
MAP: Revisiting Weight Decomposition for Low-Rank Adaptation
Chongjie Si
Zhiyi Shi
Yadao Wang
Xiaokang Yang
Susanto Rahardja
Wei Shen
56
0
0
29 May 2025
Decom-Renorm-Merge: Model Merging on the Right Space Improves Multitasking
Decom-Renorm-Merge: Model Merging on the Right Space Improves Multitasking
Yuatyong Chaichana
Thanapat Trachu
Peerat Limkonchotiwat
Konpat Preechakul
Tirasan Khandhawit
Ekapol Chuangsuwanich
MoMe
63
0
0
29 May 2025
Revisiting Bayesian Model Averaging in the Era of Foundation Models
Revisiting Bayesian Model Averaging in the Era of Foundation Models
Mijung Park
UQCVMoMe
15
0
0
28 May 2025
Advancing Expert Specialization for Better MoE
Advancing Expert Specialization for Better MoE
Hongcan Guo
Haolang Lu
Guoshun Nan
Bolun Chu
Jialin Zhuang
Yuan Yang
Wenhao Che
Sicong Leng
Qimei Cui
Xudong Jiang
MoEMoMe
81
0
0
28 May 2025
Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging
Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging
Haobo Zhang
Jiayu Zhou
MoMe
38
0
0
28 May 2025
RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
Yilang Zhang
Bingcong Li
G. Giannakis
233
1
0
24 May 2025
Spontaneous Speech Variables for Evaluating LLMs Cognitive Plausibility
Spontaneous Speech Variables for Evaluating LLMs Cognitive Plausibility
Sheng-Fu Wang
Laurent Prevot
Jou-an Chi
Ri-Sheng Huang
Shu-Kai Hsieh
LRM
60
0
0
22 May 2025
LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing
LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing
Peng Wang
Biyu Zhou
Xuehai Tang
Jizhong Han
Songlin Hu
KELM
118
0
0
21 May 2025
MaxPoolBERT: Enhancing BERT Classification via Layer- and Token-Wise Aggregation
MaxPoolBERT: Enhancing BERT Classification via Layer- and Token-Wise Aggregation
Maike Behrendt
Stefan Sylvius Wagner
Stefan Harmeling
SSeg
161
0
0
21 May 2025
AdUE: Improving uncertainty estimation head for LoRA adapters in LLMs
AdUE: Improving uncertainty estimation head for LoRA adapters in LLMs
Artem Zabolotnyi
Roman Makarov
Mile Mitrovic
P. Proskura
Oleg Travkin
Roman Alferov
Alexey Zaytsev
UQCV
71
0
0
21 May 2025
Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?
Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?
Zi Liang
Haibo Hu
Qingqing Ye
Yaxin Xiao
Ronghua Li
AAML
86
1
0
19 May 2025
The Ripple Effect: On Unforeseen Complications of Backdoor Attacks
The Ripple Effect: On Unforeseen Complications of Backdoor Attacks
Rui Zhang
Yun Shen
Hongwei Li
Wenbo Jiang
Hanxiao Chen
Yuan Zhang
Guowen Xu
Yang Zhang
SILMAAML
78
0
0
16 May 2025
ProxyPrompt: Securing System Prompts against Prompt Extraction Attacks
ProxyPrompt: Securing System Prompts against Prompt Extraction Attacks
Zhixiong Zhuang
Maria-Irina Nicolae
Hui-Po Wang
Mario Fritz
AAMLSILM
100
0
0
16 May 2025
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
Xiaoxiao He
Guiquan Liu
KELM
166
0
0
12 May 2025
Block Circulant Adapter for Large Language Models
Block Circulant Adapter for Large Language Models
Xinyu Ding
Meiqi Wang
Siyu Liao
Zhongfeng Wang
71
1
0
01 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
563
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
122
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
MoEMoMe
445
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
128
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
94
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
214
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
191
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
123
2
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
81
1
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
84
3
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
135
0
0
23 Mar 2025
NdLinear: Don't Flatten! Building Superior Neural Architectures by Preserving N-D Structure
NdLinear: Don't Flatten! Building Superior Neural Architectures by Preserving N-D Structure
Alex Reneau
Jerry Yao-Chieh Hu
Zhongfang Zhuang
Ting-Chun Liu
Xiang He
Judah Goldfeder
Nadav Timor
Allen Roush
Ravid Shwartz-Ziv
HAI
106
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
81
0
0
17 Mar 2025
MoLEx: Mixture of Layer Experts for Finetuning with Sparse Upcycling
R. Teo
T. Nguyen
MoE
146
2
0
14 Mar 2025
Detection Avoidance Techniques for Large Language Models
Sinclair Schneider
Florian Steuber
João A. G. Schneider
Gabi Dreo Rodosek
DeLMO
113
0
0
10 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
95
3
0
10 Mar 2025
Seeing Delta Parameters as JPEG Images: Data-Free Delta Compression with Discrete Cosine Transform
Chenyu Huang
Peng Ye
Xinyu Wang
Shenghe Zheng
Biqing Qi
Lei Bai
Wanli Ouyang
Tao Chen
59
2
0
09 Mar 2025
PGAD: Prototype-Guided Adaptive Distillation for Multi-Modal Learning in AD Diagnosis
Yanfei Li
Teng Yin
Wenyi Shang
Jing Liu
Xi Wang
Kaiyang Zhao
MedIm
77
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
105
4
0
03 Mar 2025
LoR2C : Low-Rank Residual Connection Adaptation for Parameter-Efficient Fine-Tuning
Jiancheng Zhao
Xingda Yu
Yuxiang Zhang
Zhen Yang
OffRL
80
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
Miao Pan
Xuemin Shen
69
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
122
2
0
27 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
117
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
174
4
0
26 Feb 2025
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