语言大模型 / LLM - arXivDaily 专题

2004.05988 2020-06-23 cs.LG stat.ML 57%

ControlVAE: Controllable Variational Autoencoder

Huajie Shao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Dongxin Liu, Jun Wang, Tarek Abdelzaher

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.LG

Comments accepted by ICML2020

Journal ref 37th proceedings of ICML, 2020

2005.09382 2020-05-20 cs.CL 57%

Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text

Felix Hill, Sona Mokra, Nathaniel Wong, Tim Harley

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

2005.01159 2020-05-05 cs.CL 57%

Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward

Luyang Huang, Lingfei Wu, Lu Wang

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

Comments Accepted as a long paper to ACL 2020

2005.00661 2020-05-05 cs.CL 57%

On Faithfulness and Factuality in Abstractive Summarization

Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan McDonald

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

Comments ACL 2020, 14 pages

1805.07451 2020-05-04 math.NA cs.LG cs.NA stat.ML 57%

Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks

Yingzhou Li, Xiuyuan Cheng, Jianfeng Lu

专题命中知识编辑与模型理解：post-training(abstract)；分类 cs.LG

1911.02821 2020-04-30 cs.CL 57%

Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention

Yanzeng Li, Bowen Yu, Mengge Xue, Tingwen Liu

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

Comments Accepted to appear at ACL 2020

1907.04224 2020-04-21 cs.CL cs.SD eess.AS 57%

Analyzing Phonetic and Graphemic Representations in End-to-End Automatic Speech Recognition

Yonatan Belinkov, Ahmed Ali, James Glass

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

Comments Corrected dataset statistics

1808.09092 2020-04-13 cs.CL 57%

Disfluency Detection using Auto-Correlational Neural Networks

Paria Jamshid Lou, Peter Anderson, Mark Johnson

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

2004.00762 2020-04-03 cs.LG cs.HC stat.ML 57%

In Automation We Trust: Investigating the Role of Uncertainty in Active Learning Systems

Michael L. Iuzzolino, Tetsumichi Umada, Nisar R. Ahmed, Danielle A. Szafir

专题命中知识编辑与模型理解：post-training(abstract)；分类 cs.LG

2004.00033 2020-04-03 cs.CL 57%

Give your Text Representation Models some Love: the Case for Basque

Rodrigo Agerri, Iñaki San Vicente, Jon Ander Campos, Ander Barrena, Xabier Saralegi, Aitor Soroa, Eneko Agirre

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

Comments Accepted at LREC 2020; 8 pages, 7 tables

2002.11566 2020-02-27 cs.CV cs.CL 57%

Object Relational Graph with Teacher-Recommended Learning for Video Captioning

Ziqi Zhang, Yaya Shi, Chunfeng Yuan, Bing Li, Peijin Wang, Weiming Hu, Zhengjun Zha

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

Comments Accepted by CVPR 2020

2002.06685 2020-02-18 cs.SI cs.LG stat.ML 57%

Global and Local Feature Learning for Ego-Network Analysis

Fatemeh Salehi Rizi, Michael Granitzer, Konstantin Ziegler

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.LG

1909.02209 2020-02-05 cs.CL 57%

Semantics-aware BERT for Language Understanding

Zhuosheng Zhang, Yuwei Wu, Hai Zhao, Zuchao Li, Shuailiang Zhang, Xi Zhou, Xiang Zhou

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

Comments Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020)

1912.05075 2019-12-12 cs.LG stat.ML 57%

Multimodal Generative Models for Compositional Representation Learning

Mike Wu, Noah Goodman

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.LG

Comments 24 pages content; 7 pages appendix

1908.05147 2019-11-21 cs.CL 57%

SG-Net: Syntax-Guided Machine Reading Comprehension

Zhuosheng Zhang, Yuwei Wu, Junru Zhou, Sufeng Duan, Hai Zhao, Rui Wang

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

Comments Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020)

1911.05419 2019-11-14 cs.LG eess.SP stat.ML 57%

Self-supervised representation learning from electroencephalography signals

Hubert Banville, Isabela Albuquerque, Aapo Hyvärinen, Graeme Moffat, Denis-Alexander Engemann, Alexandre Gramfort

专题命中知识编辑与模型理解：pretraining(abstract)；分类 cs.LG

1909.04164 2019-11-01 cs.CL 57%

Knowledge Enhanced Contextual Word Representations

Matthew E. Peters, Mark Neumann, Robert L. Logan, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

Comments EMNLP 2019

1901.08746 2019-10-21 cs.CL 57%

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, Jaewoo Kang

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

Comments Bioinformatics

1909.11824 2019-09-27 cs.IR cs.CL 57%

Pre-train, Interact, Fine-tune: A Novel Interaction Representation for Text Classification

Jianming Zheng, Fei Cai, Honghui Chen, Maarten de Rijke

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

Comments 32 pages, 5 figures

1909.08782 2019-09-20 cs.CV cs.CL cs.SD eess.AS 57%

Large-scale representation learning from visually grounded untranscribed speech

Gabriel Ilharco, Yuan Zhang, Jason Baldridge

专题命中知识编辑与模型理解：pretraining(abstract)；分类 cs.CL

Journal ref The SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2019

1904.01766 2019-09-13 cs.CV cs.AI 57%

VideoBERT: A Joint Model for Video and Language Representation Learning

Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.AI

Comments ICCV 2019 camera ready

1908.11561 2019-09-02 cs.CL 57%

Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation

Zhuoren Jiang, Zhe Gao, Guoxiu He, Yangyang Kang, Changlong Sun, Qiong Zhang, Luo Si, Xiaozhong Liu

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

Comments Accepted as a full paper of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing

1908.11125 2019-08-30 cs.CL 57%

Probing Representations Learned by Multimodal Recurrent and Transformer Models

Jindřich Libovický, Pranava Madhyastha

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

Comments 8 pages, 2 figures

1907.12009 2019-07-30 cs.CL 57%

Representation Degeneration Problem in Training Natural Language Generation Models

Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

Comments ICLR 2019

1906.11511 2019-06-28 cs.CL 57%

Inducing Syntactic Trees from BERT Representations

Rudolf Rosa, David Mareček

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

Comments Accepted abstract for the BlackboxNLP 2019

1906.08972 2019-06-24 cs.CL 57%

A Deep Generative Model for Code-Switched Text

Bidisha Samanta, Sharmila Reddy, Hussain Jagirdar, Niloy Ganguly, Soumen Chakrabarti

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

1906.07592 2019-06-19 cs.CL 57%

Towards Robust Named Entity Recognition for Historic German

Stefan Schweter, Johannes Baiter

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

Comments 8 pages, 5 figures, accepted at the 4th Workshop on Representation Learning for NLP (RepL4NLP), held in conjunction with ACL 2019

1906.04341 2019-06-12 cs.CL 57%

What Does BERT Look At? An Analysis of BERT's Attention

Kevin Clark, Urvashi Khandelwal, Omer Levy, Christopher D. Manning

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

Comments BlackBoxNLP 2019

1811.03511 2019-06-12 cs.CL 57%

Effective Representation for Easy-First Dependency Parsing

Zuchao Li, Jiaxun Cai, Hai Zhao

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.CL

1906.02826 2019-06-10 cs.LG stat.ML 57%

From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation

Yu Liu, Li Deng, Jianshu Chen, Chang Wen Chen

专题命中知识编辑与模型理解：language model(abstract)；分类 cs.LG

1. 知识编辑与模型理解 7596 篇

ControlVAE: Controllable Variational Autoencoder

Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text

Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward

On Faithfulness and Factuality in Abstractive Summarization

Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks

Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention

Analyzing Phonetic and Graphemic Representations in End-to-End Automatic Speech Recognition

Disfluency Detection using Auto-Correlational Neural Networks

In Automation We Trust: Investigating the Role of Uncertainty in Active Learning Systems

Give your Text Representation Models some Love: the Case for Basque

Object Relational Graph with Teacher-Recommended Learning for Video Captioning

Global and Local Feature Learning for Ego-Network Analysis

Semantics-aware BERT for Language Understanding

Multimodal Generative Models for Compositional Representation Learning

SG-Net: Syntax-Guided Machine Reading Comprehension

Self-supervised representation learning from electroencephalography signals

Knowledge Enhanced Contextual Word Representations

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Pre-train, Interact, Fine-tune: A Novel Interaction Representation for Text Classification

Large-scale representation learning from visually grounded untranscribed speech

VideoBERT: A Joint Model for Video and Language Representation Learning

Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation

Probing Representations Learned by Multimodal Recurrent and Transformer Models

Representation Degeneration Problem in Training Natural Language Generation Models

Inducing Syntactic Trees from BERT Representations

A Deep Generative Model for Code-Switched Text

Towards Robust Named Entity Recognition for Historic German

What Does BERT Look At? An Analysis of BERT's Attention

Effective Representation for Easy-First Dependency Parsing

From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation