Neural Network Acceptability Judgments

31 May 2018

Amanpreet Singh

Papers citing "Neural Network Acceptability Judgments"

50 / 880 papers shown

Title
Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks? Zi Liang Haibo Hu Qingqing Ye Yaxin Xiao Ronghua Li AAML 0 0 0 19 May 2025
ProxyPrompt: Securing System Prompts against Prompt Extraction Attacks Zhixiong Zhuang Maria-Irina Nicolae Hui-Po Wang Mario Fritz AAML SILM 28 0 0 16 May 2025
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 SILM AAML 10 0 0 16 May 2025
DeltaEdit: Enhancing Sequential Editing in Large Language Models by Controlling Superimposed Noise Ding Cao Yuchen Cai Rongxi Guo X. He Guiquan Liu KELM 43 0 0 12 May 2025
Block Circulant Adapter for Large Language Models Xinyu Ding Meiqi Wang Siyu Liao Zhongfeng Wang 38 0 0 01 May 2025
Steering Large Language Models with Register Analysis for Arbitrary Style Transfer Xinchen Yang Marine Carpuat LLMSV 169 0 0 01 May 2025
Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors Xinyu Ding Lexuan Chen Siyu Liao Zhongfeng Wang 52 0 0 01 May 2025
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 137 0 0 29 Apr 2025
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 Michael Kamerath Aniello De Santo 24 0 0 14 Apr 2025
Confidence Regularized Masked Language Modeling using Text Length Seunghyun Ji Soowon Lee 36 0 0 08 Apr 2025
FISH-Tuning: Enhancing PEFT Methods with Fisher Information Kang Xue Ming Dong Xinhui Tu Tingting He 39 0 0 05 Apr 2025
Enhancing LLM Robustness to Perturbed Instructions: An Empirical Study Aryan Agrawal Lisa Alazraki Shahin Honarvar Marek Rei 57 0 0 03 Apr 2025
AdaRank: Adaptive Rank Pruning for Enhanced Model Merging Chanhyuk Lee Jiho Choi Chanryeol Lee Donggyun Kim Seunghoon Hong MoMe 55 0 0 28 Mar 2025
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 Pieyi Zhang Richong Zhang Zhijie Nie VLM 67 0 0 23 Mar 2025
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 Duke Nguyen Aditya Joshi Flora D. Salim 46 0 0 17 Mar 2025
MoLEx: Mixture of Layer Experts for Finetuning with Sparse Upcycling R. Teo T. Nguyen MoE 60 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 51 1 0 10 Mar 2025
Detection Avoidance Techniques for Large Language Models Sinclair Schneider Florian Steuber João A. G. Schneider Gabi Dreo Rodosek DeLMO 83 0 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 31 0 0 09 Mar 2025
PGAD: Prototype-Guided Adaptive Distillation for Multi-Modal Learning in AD Diagnosis Yanfei Li Teng Yin Wenyi Shang Xiaozhong Liu Xi Wang Kaiyang Zhao MedIm 42 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 66 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 36 0 0 01 Mar 2025
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 Long Minh Bui Tho Tran Huu Duy-Tung Dinh T. Nguyen Trong Nghia Hoang 52 2 0 27 Feb 2025
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 38 0 0 26 Feb 2025
CAMEx: Curvature-aware Merging of Experts Dung V. Nguyen Minh H. Nguyen Luc Q. Nguyen R. Teo T. Nguyen Linh Duy Tran MoMe 104 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 Yue Zhou Yi-Ju Chang Yuan Wu MoMe 69 2 0 24 Feb 2025
Tokenization is Sensitive to Language Variation Anna Wegmann Dong Nguyen David Jurgens 84 1 0 24 Feb 2025
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 147 0 0 24 Feb 2025
Using tournaments to calculate AUROC for zero-shot classification with LLMs WonJin Yoon Ian Bulovic Timothy A. Miller 59 0 0 24 Feb 2025
Encryption-Friendly LLM Architecture Donghwan Rho Taeseong Kim Minje Park Jung Woo Kim Hyunsik Chae Jung Hee Cheon Ernest K. Ryu 57 2 0 24 Feb 2025
Are Sparse Autoencoders Useful? A Case Study in Sparse Probing Subhash Kantamneni Joshua Engels Senthooran Rajamanoharan Max Tegmark Neel Nanda 61 5 0 23 Feb 2025
Scalable Model Merging with Progressive Layer-wise Distillation Jing Xu Jiazheng Li Junzhe Zhang MoMe FedML 90 0 0 18 Feb 2025
An Efficient Row-Based Sparse Fine-Tuning Cen-Jhih Li Aditya Bhaskara 56 0 0 17 Feb 2025
Reinforced Lifelong Editing for Language Models Zherui Li Houcheng Jiang Hao Chen Baolong Bi Zhenhong Zhou Fei Sun Fan Zhang Qing Guo KELM 56 5 0 09 Feb 2025
CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models Guanduo Chen Yutong He Yipeng Hu Kun Yuan Binhang Yuan 54 0 0 03 Feb 2025
Lifelong Sequential Knowledge Editing without Model Degradation Akshat Gupta Phudish Prateepamornkul Maochuan Lu Ahmed Alaa Thomas Hartvigsen Gopala Anumanchipalli KELM 77 1 0 03 Feb 2025
Understanding Why Adam Outperforms SGD: Gradient Heterogeneity in Transformers Akiyoshi Tomihari Issei Sato ODL 61 1 0 31 Jan 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models Yibin Wang Haizhou Shi Ligong Han Dimitris N. Metaxas Hao Wang BDL UQLM 116 6 0 28 Jan 2025
Reference-free Evaluation Metrics for Text Generation: A Survey Takumi Ito Kees van Deemter Jun Suzuki ELM 41 2 0 21 Jan 2025
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 Ziqing Wen Ping Luo Jun Wang Xiaoge Deng Jinping Zou Kun Yuan Tao Sun Dongsheng Li CLL 36 0 0 13 Jan 2025
GPT or BERT: why not both? Lucas Georges Gabriel Charpentier David Samuel 55 5 0 31 Dec 2024
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 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 Kaustubh Ponkshe Raghav Singhal Eduard A. Gorbunov Alexey Tumanov Samuel Horváth Praneeth Vepakomma 71 1 0 29 Nov 2024