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Straight to the Gradient: Learning to Use Novel Tokens for Neural Text
  Generation

Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation

14 June 2021
Xiang Lin
Simeng Han
Shafiq R. Joty
ArXivPDFHTML

Papers citing "Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation"

19 / 19 papers shown
Title
Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing
Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing
Zhilin Wang
Yafu Li
Jianhao Yan
Yu Cheng
Yue Zhang
65
0
0
21 Feb 2025
From Self-Attention to Markov Models: Unveiling the Dynamics of
  Generative Transformers
From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers
M. E. Ildiz
Yixiao Huang
Yingcong Li
A. S. Rawat
Samet Oymak
35
17
0
21 Feb 2024
Exploring Automatic Text Simplification of German Narrative Documents
Exploring Automatic Text Simplification of German Narrative Documents
T. Schomacker
Tillmann Dönicke
Marina Tropmann-Frick
22
2
0
15 Dec 2023
InferDPT: Privacy-Preserving Inference for Black-box Large Language
  Model
InferDPT: Privacy-Preserving Inference for Black-box Large Language Model
Meng Tong
Kejiang Chen
Jie Zhang
Yuang Qi
Weiming Zhang
Neng H. Yu
Tianwei Zhang
Zhikun Zhang
SILM
30
2
0
18 Oct 2023
Repetition In Repetition Out: Towards Understanding Neural Text
  Degeneration from the Data Perspective
Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective
Huayang Li
Tian Lan
Z. Fu
Deng Cai
Lemao Liu
Nigel Collier
Taro Watanabe
Yixuan Su
34
11
0
16 Oct 2023
Multi-level Adaptive Contrastive Learning for Knowledge Internalization
  in Dialogue Generation
Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation
Chenxu Yang
Zheng Lin
Lanrui Wang
Chong Tian
Liang Pang
JiangNan Li
Qirong Ho
Yanan Cao
Weiping Wang
24
1
0
13 Oct 2023
Language Model Decoding as Direct Metrics Optimization
Language Model Decoding as Direct Metrics Optimization
Haozhe Ji
Pei Ke
Hongning Wang
Minlie Huang
11
7
0
02 Oct 2023
Error Norm Truncation: Robust Training in the Presence of Data Noise for
  Text Generation Models
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models
Tianjian Li
Haoran Xu
Philipp Koehn
Daniel Khashabi
Kenton W. Murray
36
4
0
02 Oct 2023
Understanding In-Context Learning from Repetitions
Understanding In-Context Learning from Repetitions
Jianhao Yan
Jin Xu
Chiyu Song
Chenming Wu
Yafu Li
Yue Zhang
22
20
0
30 Sep 2023
Mitigating the Learning Bias towards Repetition by Self-Contrastive
  Training for Open-Ended Generation
Mitigating the Learning Bias towards Repetition by Self-Contrastive Training for Open-Ended Generation
Jian-Yu Guan
Minlie Huang
26
0
0
04 Jul 2023
Decouple Non-parametric Knowledge Distillation For End-to-end Speech
  Translation
Decouple Non-parametric Knowledge Distillation For End-to-end Speech Translation
Hao Zhang
Nianwen Si
Yaqi Chen
Wenlin Zhang
Xukui Yang
Dan Qu
Zhen Li
19
3
0
20 Apr 2023
Dynamic Scheduled Sampling with Imitation Loss for Neural Text
  Generation
Dynamic Scheduled Sampling with Imitation Loss for Neural Text Generation
Xiang Lin
Prathyusha Jwalapuram
Shafiq R. Joty
DiffM
18
0
0
31 Jan 2023
Learning to Break the Loop: Analyzing and Mitigating Repetitions for
  Neural Text Generation
Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation
Jin Xu
Xiaojiang Liu
Jianhao Yan
Deng Cai
Huayang Li
Jian Li
25
70
0
06 Jun 2022
R2D2: Robust Data-to-Text with Replacement Detection
R2D2: Robust Data-to-Text with Replacement Detection
Linyong Nan
Lorenzo Jaime Yu Flores
Yilun Zhao
Yixin Liu
Luke Benson
Weijin Zou
Dragomir R. Radev
37
17
0
25 May 2022
Nearest Neighbor Knowledge Distillation for Neural Machine Translation
Nearest Neighbor Knowledge Distillation for Neural Machine Translation
Zhixian Yang
Renliang Sun
Xiaojun Wan
13
12
0
01 May 2022
SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for
  Abstractive Summarization
SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization
Mathieu Ravaut
Shafiq R. Joty
Nancy F. Chen
MoE
16
91
0
13 Mar 2022
Text Summarization with Pretrained Encoders
Text Summarization with Pretrained Encoders
Yang Liu
Mirella Lapata
MILM
258
1,431
0
22 Aug 2019
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
215
1,207
0
12 Jun 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
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