语言大模型 / LLM - arXivDaily 专题

2011.13384 2020-12-02 cs.LG cs.CL 62%

Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space

Ruijie Jiang, Julia Gouvea, David Hammer, Eric Miller, Shuchin Aeron

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

2011.06819 2020-11-16 cs.CL cs.LG 62%

diagNNose: A Library for Neural Activation Analysis

Jaap Jumelet

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

Comments Accepted to the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, EMNLP 2020

2011.04041 2020-11-10 cs.LG cs.AI stat.ML 62%

Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification

Agus Sudjianto, William Knauth, Rahul Singh, Zebin Yang, Aijun Zhang

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

2011.01754 2020-11-04 cs.LG cs.AI 62%

ControlVAE: Tuning, Analytical Properties, and Performance Analysis

Huajie Shao, Zhisheng Xiao, Shuochao Yao, Aston Zhang, Shengzhong Liu, Tarek Abdelzaher

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

Comments arXiv admin note: substantial text overlap with arXiv:2004.05988

2004.08046 2020-10-29 cs.CL cs.LG 62%

Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space

Dongyu Ru, Jiangtao Feng, Lin Qiu, Hao Zhou, Mingxuan Wang, Weinan Zhang, Yong Yu, Lei Li

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

Comments Accepted to EMNLP 2020 Findings

2010.07435 2020-10-16 cs.CL cs.LG 62%

From Language to Language-ish: How Brain-Like is an LSTM's Representation of Nonsensical Language Stimuli?

Maryam Hashemzadeh, Greta Kaufeld, Martha White, Andrea E. Martin, Alona Fyshe

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

Comments 12 pages

2010.02949 2020-10-08 cs.CV cs.CL cs.LG 62%

Learning to Represent Image and Text with Denotation Graph

Bowen Zhang, Hexiang Hu, Vihan Jain, Eugene Ie, Fei Sha

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

Comments to appear at EMNLP 2020

2010.00309 2020-10-02 cs.CL cs.AI 62%

CoLAKE: Contextualized Language and Knowledge Embedding

Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang

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

Comments Accepted by COLING 2020

2005.00200 2020-10-01 cs.CV cs.CL cs.LG 62%

HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training

Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu

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

Comments Accepted by EMNLP 2020

1909.11740 2020-07-21 cs.CV cs.CL cs.LG 62%

UNITER: UNiversal Image-TExt Representation Learning

Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu

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

Comments ECCV 2020

2006.15315 2020-06-30 cs.CL cs.LG 62%

Uncertainty-aware Self-training for Text Classification with Few Labels

Subhabrata Mukherjee, Ahmed Hassan Awadallah

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

2005.07421 2020-05-18 cs.CL cs.LG 62%

Spelling Error Correction with Soft-Masked BERT

Shaohua Zhang, Haoran Huang, Jicong Liu, Hang Li

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

Comments To be published at ACL 2020

1908.03971 2020-05-05 cs.LG cs.CL stat.ML 62%

TAPER: Time-Aware Patient EHR Representation

Sajad Darabi, Mohammad Kachuee, Shayan Fazeli, Majid Sarrafzadeh

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

2004.14905 2020-05-01 cs.CL cs.LG 62%

Modelling Suspense in Short Stories as Uncertainty Reduction over Neural Representation

David Wilmot, Frank Keller

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

Comments 9 pages, 3 figures, accepted as long paper to ACL 2020

2004.14546 2020-05-01 cs.CL cs.LG 62%

WT5?! Training Text-to-Text Models to Explain their Predictions

Sharan Narang, Colin Raffel, Katherine Lee, Adam Roberts, Noah Fiedel, Karishma Malkan

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

2004.14224 2020-04-30 cs.CL cs.LG 62%

Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning

Tao Shen, Yi Mao, Pengcheng He, Guodong Long, Adam Trischler, Weizhu Chen

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

2004.03762 2020-04-09 cs.CL cs.AI 62%

Generating Narrative Text in a Switching Dynamical System

Noah Weber, Leena Shekhar, Heeyoung Kwon, Niranjan Balasubramanian, Nathanael Chambers

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

2003.11687 2020-03-27 cs.CL cs.LG stat.ML 62%

Common-Knowledge Concept Recognition for SEVA

Jitin Krishnan, Patrick Coronado, Hemant Purohit, Huzefa Rangwala

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

Comments Source code available

1809.06858 2020-03-18 cs.CL cs.LG stat.ML 62%

FRAGE: Frequency-Agnostic Word Representation

Chengyue Gong, 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、cs.LG

Comments To appear in NIPS 2018

2003.07019 2020-03-17 cs.CL cs.AI cs.CY 62%

Key Phrase Classification in Complex Assignments

Manikandan Ravikiran

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

Comments v1 preprint

1908.01000 2020-01-20 cs.LG cs.AI stat.ML 62%

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Fan-Yun Sun, Jordan Hoffmann, Vikas Verma, Jian Tang

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

Comments ICLR 2020 (spotlight)

1908.11527 2019-12-02 cs.LG cs.CL stat.ML 62%

Implicit Deep Latent Variable Models for Text Generation

Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen

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

Comments 13 pages, 8 Tables, 1 Figure, Accepted at 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019)

1911.08117 2019-11-20 cs.CL cs.LG 62%

A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages

Minh-Thang Luong, Preslav Nakov, Min-Yen Kan

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

Journal ref EMNLP-2010

1911.00845 2019-11-05 cs.CL cs.LG 62%

Low-dimensional Semantic Space: from Text to Word Embedding

Xiaolei Lu, Bin Ni

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

Comments in Chinese

1909.04948 2019-10-15 cs.CL cs.CV cs.LG 62%

BERTgrid: Contextualized Embedding for 2D Document Representation and Understanding

Timo I. Denk, Christian Reisswig

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

Comments 4 pages, accepted at the "Document Intelligence" workshop of 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada

1909.13315 2019-10-01 cs.IR cs.CL cs.LG 62%

Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers

Yatin Chaudhary, Pankaj Gupta, Thomas Runkler

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

Comments 94 pages

1909.09251 2019-09-23 cs.CL cs.LG 62%

AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models

Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh

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

Comments EMNLP 2019 Demo

1909.00868 2019-09-04 cs.LG cs.CL stat.ML 62%

A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text

Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang

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

Comments EMNLP 2019 short paper. The first two authors contributed equally

1908.11790 2019-09-02 cs.CL cs.AI 62%

Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs

Dongyeop Kang, Hiroaki Hayashi, Alan W Black, Eduard Hovy

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

Comments EMNLP 2019

1908.05762 2019-08-23 cs.CL cs.IR cs.LG stat.ML 62%

Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation

Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Rasha Obeidat, Prasad Tadepalli

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

1. 知识编辑与模型理解 7583 篇

Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space

diagNNose: A Library for Neural Activation Analysis

Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification

ControlVAE: Tuning, Analytical Properties, and Performance Analysis

Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space

From Language to Language-ish: How Brain-Like is an LSTM's Representation of Nonsensical Language Stimuli?

Learning to Represent Image and Text with Denotation Graph

CoLAKE: Contextualized Language and Knowledge Embedding

HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training

UNITER: UNiversal Image-TExt Representation Learning

Uncertainty-aware Self-training for Text Classification with Few Labels

Spelling Error Correction with Soft-Masked BERT

TAPER: Time-Aware Patient EHR Representation

Modelling Suspense in Short Stories as Uncertainty Reduction over Neural Representation

WT5?! Training Text-to-Text Models to Explain their Predictions

Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning

Generating Narrative Text in a Switching Dynamical System

Common-Knowledge Concept Recognition for SEVA

FRAGE: Frequency-Agnostic Word Representation

Key Phrase Classification in Complex Assignments

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Implicit Deep Latent Variable Models for Text Generation

A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages

Low-dimensional Semantic Space: from Text to Word Embedding

BERTgrid: Contextualized Embedding for 2D Document Representation and Understanding

Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers

AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models

A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text

Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs

Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation