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Neural Network Acceptability Judgments

31 May 2018

Alex Warstadt

Amanpreet Singh

Samuel R. Bowman

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Papers citing "Neural Network Acceptability Judgments"

41 / 41 papers shown

Title
RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models Yilang Zhang Bingcong Li G. Giannakis 233 1 0 24 May 2025
Steering Large Language Models with Register Analysis for Arbitrary Style Transfer Xinchen Yang Marine Carpuat LLMSV 553 0 0 01 May 2025
Confidence Regularized Masked Language Modeling using Text Length Seunghyun Ji Soowon Lee 202 0 0 08 Apr 2025
FISH-Tuning: Enhancing PEFT Methods with Fisher Information Kang Xue Ming Dong Xinhui Tu Tingting He 177 0 0 05 Apr 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 Xiaoye Qu Wei Wei Yu Cheng MoE 517 1 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 223 6 0 24 Feb 2025
Scalable Model Merging with Progressive Layer-wise Distillation Jing Xu Jiazheng Li J.N. Zhang MoMe FedML 314 2 0 18 Feb 2025
Reinforced Lifelong Editing for Language Models Zherui Li Houcheng Jiang Hao Chen Baolong Bi Zhenhong Zhou Fei Sun Sihang Li Xinze Wang KELM 140 8 0 09 Feb 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 216 13 0 28 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 132 31 0 17 Jan 2025
GPT or BERT: why not both? Lucas Georges Gabriel Charpentier David Samuel 153 5 0 31 Dec 2024
Weak-to-Strong Generalization Through the Data-Centric Lens Changho Shin John Cooper Frederic Sala 177 9 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 254 7 0 29 Nov 2024
Vulnerability of LLMs to Vertically Aligned Text Manipulations Zhecheng Li Yijiao Wang Bryan Hooi Yujun Cai Zhen Xiong Nanyun Peng Kai-Wei Chang 131 1 0 26 Oct 2024
StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples Ajay Patel Jiacheng Zhu Justin Qiu Zachary Horvitz Marianna Apidianaki Kathleen McKeown Chris Callison-Burch 140 4 0 16 Oct 2024
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models Wenlong Deng Yize Zhao V. Vakilian Minghui Chen Xiaoxiao Li Christos Thrampoulidis 210 7 0 12 Oct 2024
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models Sihang Li Houcheng Jiang Kun Wang Yunshan Ma Shi Jie Xiangnan He Tat-Seng Chua Tat-seng Chua KELM 150 66 0 03 Oct 2024
How to Make the Most of LLMs' Grammatical Knowledge for Acceptability Judgments Yusuke Ide Yuto Nishida Miyu Oba Miyu Oba Justin Vasselli Hidetaka Kamigaito Taro Watanabe 116 0 0 19 Aug 2024
Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models Zi Liang Haibo Hu Qingqing Ye Yaxin Xiao Haoyang Li AAML ELM SILM 138 9 0 05 Aug 2024
Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model Longrong Yang Dong Shen Chaoxiang Cai Fan Yang Size Li Tingting Gao Xi Li MoE 119 2 0 28 Jun 2024
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models Yongxin Guo Zhenglin Cheng Xiaoying Tang Tao R. Lin Tao Lin MoE 182 8 0 23 May 2024
DEPTH: Discourse Education through Pre-Training Hierarchically Zachary Bamberger Ofek Glick Chaim Baskin Yonatan Belinkov 121 0 0 13 May 2024
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 186 13 0 27 Feb 2024
Hyperdecoders: Instance-specific decoders for multi-task NLP Hamish Ivison Matthew E. Peters AI4CE 98 22 0 15 Mar 2022
Revisiting Few-sample BERT Fine-tuning Tianyi Zhang Felix Wu Arzoo Katiyar Kilian Q. Weinberger Yoav Artzi 178 446 0 10 Jun 2020
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies Ethan Gotlieb Wilcox Peng Qian Richard Futrell Miguel Ballesteros R. Levy 57 56 0 03 Mar 2019
Linguistic Analysis of Pretrained Sentence Encoders with Acceptability Judgments Alex Warstadt Samuel R. Bowman 85 23 0 11 Jan 2019
Assessing Composition in Sentence Vector Representations Allyson Ettinger Ahmed Elgohary C. Phillips Philip Resnik CoGe 59 78 0 11 Sep 2018
RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency Richard Futrell Ethan Gotlieb Wilcox Takashi Morita R. Levy 66 58 0 05 Sep 2018
What do RNN Language Models Learn about Filler-Gap Dependencies? Ethan Gotlieb Wilcox R. Levy Takashi Morita Richard Futrell LRM 66 170 0 31 Aug 2018
Targeted Syntactic Evaluation of Language Models Rebecca Marvin Tal Linzen 90 417 0 27 Aug 2018
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 353 897 0 03 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 1.1K 7,201 0 20 Apr 2018
Deep contextualized word representations Matthew E. Peters Mark Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer NAI 233 11,565 0 15 Feb 2018
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data Alexis Conneau Douwe Kiela Holger Schwenk Loïc Barrault Antoine Bordes AI4TS SSL 238 2,105 0 05 May 2017
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies Tal Linzen Emmanuel Dupoux Yoav Goldberg 119 906 0 04 Nov 2016
Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks Yossi Adi Einat Kermany Yonatan Belinkov Ofer Lavi Yoav Goldberg 88 546 0 15 Aug 2016
Skip-Thought Vectors Ryan Kiros Yukun Zhu Ruslan Salakhutdinov R. Zemel Antonio Torralba R. Urtasun Sanja Fidler SSL 224 2,412 0 22 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 448 20,606 0 10 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.1K 23,396 0 03 Jun 2014