Neural Network Acceptability Judgments

31 May 2018

Amanpreet Singh

Papers citing "Neural Network Acceptability Judgments"

50 / 880 papers shown

Title
Evaluating Large Language Models with fmeval Pola Schwöbel Luca Franceschi Muhammad Bilal Zafar Keerthan Vasist Aman Malhotra Tomer Shenhar Pinal Tailor Pinar Yilmaz Michael Diamond Michele Donini LM&MA ELM 27 2 0 15 Jul 2024
SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning Haiwen Diao Bo Wan Xu Jia Yunzhi Zhuge Ying Zhang Huchuan Lu Long Chen VLM 50 4 0 10 Jul 2024
Testing learning hypotheses using neural networks by manipulating learning data Cara Su-Yi Leong Tal Linzen 31 4 0 05 Jul 2024
Efficient Training of Language Models with Compact and Consistent Next Token Distributions Ashutosh Sathe Sunita Sarawagi 40 0 0 03 Jul 2024
MLKD-BERT: Multi-level Knowledge Distillation for Pre-trained Language Models Ying Zhang Ziheng Yang Shufan Ji KELM 24 1 0 03 Jul 2024
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application Chuanpeng Yang Wang Lu Yao Zhu Yidong Wang Qian Chen Chenlong Gao Bingjie Yan Yiqiang Chen ALM KELM 44 23 0 02 Jul 2024
CPT: Consistent Proxy Tuning for Black-box Optimization Yuanyang He Zitong Huang Xinxing Xu Rick Siow Mong Goh Salman Khan W. Zuo Yong Liu Chun-Mei Feng 45 0 0 01 Jul 2024
Exploring Advanced Large Language Models with LLMsuite Giorgio Roffo LLMAG 24 0 0 01 Jul 2024
Locate&Edit: Energy-based Text Editing for Efficient, Flexible, and Faithful Controlled Text Generation Hye Ryung Son Jay-Yoon Lee 46 0 0 30 Jun 2024
IDT: Dual-Task Adversarial Attacks for Privacy Protection Pedro Faustini Shakila Mahjabin Tonni Annabelle McIver Qiongkai Xu Mark Dras SILM AAML 52 0 0 28 Jun 2024
Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model Longrong Yang Dong Shen Chaoxiang Cai Fan Yang Size Li Di Zhang Xi Li MoE 56 2 0 28 Jun 2024
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks A. Bavaresco Raffaella Bernardi Leonardo Bertolazzi Desmond Elliott Raquel Fernández ... David Schlangen Alessandro Suglia Aditya K Surikuchi Ece Takmaz A. Testoni ALM ELM 54 62 0 26 Jun 2024
Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients Aashiq Muhamed Oscar Li David Woodruff Mona Diab Virginia Smith 61 7 0 25 Jun 2024
TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings Zachary Horvitz Ajay Patel Kanishk Singh Chris Callison-Burch Kathleen McKeown Zhou Yu 36 4 0 21 Jun 2024
Information Guided Regularization for Fine-tuning Language Models Mandar Sharma Nikhil Muralidhar Shengzhe Xu Raquib Bin Yousuf Naren Ramakrishnan 38 0 0 20 Jun 2024
Open Generative Large Language Models for Galician Pablo Gamallo Pablo Rodríguez Iria de-Dios-Flores Susana Sotelo Silvia Paniagua Daniel Bardanca José Ramom Pichel Marcos Garcia 48 3 0 19 Jun 2024
UBENCH: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions Xunzhi Wang Zhuowei Zhang Qiongyu Li Gaonan Chen Mengting Hu Zhiyu li Bitong Luo Hang Gao Zhixin Han Haotian Wang ELM 48 3 0 18 Jun 2024
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation Branislav Pecher Ján Cegin Róbert Belanec Jakub Simko Ivan Srba Maria Bielikova 47 1 0 18 Jun 2024
GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace Theory Haoze Wu Zihan Qiu Zili Wang Hang Zhao Jie Fu MoE 51 3 0 18 Jun 2024
Knowledge Fusion By Evolving Weights of Language Models Guodong Du Jing Li Hanting Liu Runhua Jiang Shuyang Yu Yifei Guo S. Goh Ho-Kin Tang MoMe 44 8 0 18 Jun 2024
Style Transfer with Multi-iteration Preference Optimization Shuai Liu Jonathan May 45 4 0 17 Jun 2024
FamiCom: Further Demystifying Prompts for Language Models with Task-Agnostic Performance Estimation Bangzheng Li Ben Zhou Xingyu Fu Fei Wang Dan Roth Muhao Chen 28 3 0 17 Jun 2024
Symmetric Dot-Product Attention for Efficient Training of BERT Language Models Martin Courtois Malte Ostendorff Leonhard Hennig Georg Rehm 39 2 0 10 Jun 2024
SuperPos-Prompt: Enhancing Soft Prompt Tuning of Language Models with Superposition of Multi Token Embeddings MohammadAli SadraeiJavaeri Ehsaneddin Asgari A. Mchardy Hamid R. Rabiee VLM AAML 26 0 0 07 Jun 2024
VTrans: Accelerating Transformer Compression with Variational Information Bottleneck based Pruning Oshin Dutta Ritvik Gupta Sumeet Agarwal 44 1 0 07 Jun 2024
What Makes Language Models Good-enough? Daiki Asami Saku Sugawara 37 1 0 06 Jun 2024
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients Weijun Li Qiongkai Xu Mark Dras PILM 32 1 0 03 Jun 2024
Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement Pengwei Zhan Zhen Xu Qian Tan Jie Song Ru Xie 51 7 0 31 May 2024
DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution Yulong Mao Kaiyu Huang Changhao Guan Ganglin Bao Fengran Mo Jinan Xu 37 11 0 27 May 2024
Unifying Demonstration Selection and Compression for In-Context Learning Jun Gao Ziqiang Cao Wenjie Li 43 3 0 27 May 2024
Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective Akiyoshi Tomihari Issei Sato 30 4 0 27 May 2024
Learning to Reason via Program Generation, Emulation, and Search Nathaniel Weir Muhammad Khalifa Linlu Qiu Orion Weller Peter Clark SyDa ReLM LRM 90 5 0 25 May 2024
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 35 13 0 24 May 2024
DAGER: Exact Gradient Inversion for Large Language Models Ivo Petrov Dimitar I. Dimitrov Maximilian Baader Mark Niklas Muller Martin Vechev FedML 63 3 0 24 May 2024
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 45 1 0 24 May 2024
VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks Yang Li Shaobo Han Shihao Ji MoE 27 11 0 24 May 2024
EMR-Merging: Tuning-Free High-Performance Model Merging Chenyu Huang Peng Ye Tao Chen Tong He Xiangyu Yue Wanli Ouyang MoMe 46 29 0 23 May 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 66 7 0 23 May 2024
Dynamic Context Adaptation and Information Flow Control in Transformers: Introducing the Evaluator Adjuster Unit and Gated Residual Connections Sahil Rajesh Dhayalkar 24 1 0 22 May 2024
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 24 1 0 21 May 2024
Effective In-Context Example Selection through Data Compression Zhongxiang Sun Kepu Zhang Haoyu Wang Xiao Zhang Jun Xu 38 2 0 19 May 2024
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion Pengxiang Lan Enneng Yang Yuting Liu Guibing Guo Linying Jiang Jianzhe Zhao Xingwei Wang VLM AAML 38 1 0 19 May 2024
Keep It Private: Unsupervised Privatization of Online Text Calvin Bao Marine Carpuat DeLMO 37 3 0 16 May 2024
DEPTH: Discourse Education through Pre-Training Hierarchically Zachary Bamberger Ofek Glick Chaim Baskin Yonatan Belinkov 67 0 0 13 May 2024
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 44 0 0 09 May 2024
SPAFIT: Stratified Progressive Adaptation Fine-tuning for Pre-trained Large Language Models Samir Arora Liangliang Wang 24 0 0 30 Apr 2024
Knowledge Distillation vs. Pretraining from Scratch under a Fixed (Computation) Budget Minh Duc Bui Fabian David Schmidt Goran Glavaš K. Wense 28 0 0 30 Apr 2024
More Room for Language: Investigating the Effect of Retrieval on Language Models David Samuel Lucas Georges Gabriel Charpentier Sondre Wold LRM RALM KELM 30 1 0 16 Apr 2024
Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models Tanmay Gautam Youngsuk Park Hao Zhou Parameswaran Raman Wooseok Ha 43 11 0 11 Apr 2024
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 32 3 0 08 Apr 2024