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Improved Natural Language Generation via Loss Truncation

Improved Natural Language Generation via Loss Truncation

30 April 2020
Daniel Kang
Tatsunori Hashimoto
ArXivPDFHTML

Papers citing "Improved Natural Language Generation via Loss Truncation"

28 / 28 papers shown
Title
Mitigating Memorization In Language Models
Mitigating Memorization In Language Models
Mansi Sakarvadia
Aswathy Ajith
Arham Khan
Nathaniel Hudson
Caleb Geniesse
Kyle Chard
Yaoqing Yang
Ian Foster
Michael W. Mahoney
KELM
MU
55
0
0
03 Oct 2024
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation
Yan Meng
Di Wu
Christof Monz
28
1
0
02 Jul 2024
Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction
  Tuning
Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction Tuning
Jiaqi Li
Yixuan Tang
Yi Yang
46
5
0
14 Jun 2024
Cognitive Mirage: A Review of Hallucinations in Large Language Models
Cognitive Mirage: A Review of Hallucinations in Large Language Models
Hongbin Ye
Tong Liu
Aijia Zhang
Wei Hua
Weiqiang Jia
HILM
37
76
0
13 Sep 2023
MixCE: Training Autoregressive Language Models by Mixing Forward and
  Reverse Cross-Entropies
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies
Shiyue Zhang
Shijie Wu
Ozan Irsoy
Steven Lu
Mohit Bansal
Mark Dredze
David S. Rosenberg
18
9
0
26 May 2023
What are the Desired Characteristics of Calibration Sets? Identifying
  Correlates on Long Form Scientific Summarization
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
Griffin Adams
Bichlien H. Nguyen
Jake A. Smith
Yingce Xia
Shufang Xie
Anna Ostropolets
Budhaditya Deb
Yuan Chen
Tristan Naumann
Noémie Elhadad
24
8
0
12 May 2023
Elastic Weight Removal for Faithful and Abstractive Dialogue Generation
Elastic Weight Removal for Faithful and Abstractive Dialogue Generation
Nico Daheim
Nouha Dziri
Mrinmaya Sachan
Iryna Gurevych
E. Ponti
MoMe
28
30
0
30 Mar 2023
Benchmarking Large Language Models for News Summarization
Benchmarking Large Language Models for News Summarization
Tianyi Zhang
Faisal Ladhak
Esin Durmus
Percy Liang
Kathleen McKeown
Tatsunori B. Hashimoto
ELM
23
478
0
31 Jan 2023
Contrastive Error Attribution for Finetuned Language Models
Contrastive Error Attribution for Finetuned Language Models
Faisal Ladhak
Esin Durmus
Tatsunori Hashimoto
HILM
25
9
0
21 Dec 2022
Contrastive Learning Reduces Hallucination in Conversations
Contrastive Learning Reduces Hallucination in Conversations
Weiwei Sun
Zhengliang Shi
Shen Gao
Pengjie Ren
Maarten de Rijke
Z. Ren
31
62
0
20 Dec 2022
Evaluating Human-Language Model Interaction
Evaluating Human-Language Model Interaction
Mina Lee
Megha Srivastava
Amelia Hardy
John Thickstun
Esin Durmus
...
Hancheng Cao
Tony Lee
Rishi Bommasani
Michael S. Bernstein
Percy Liang
LM&MA
ALM
51
99
0
19 Dec 2022
Beyond Counting Datasets: A Survey of Multilingual Dataset Construction
  and Necessary Resources
Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources
Xinyan Velocity Yu
Akari Asai
Trina Chatterjee
Junjie Hu
Eunsol Choi
16
21
0
28 Nov 2022
Improving Factual Consistency in Summarization with Compression-Based
  Post-Editing
Improving Factual Consistency in Summarization with Compression-Based Post-Editing
Alexander R. Fabbri
Prafulla Kumar Choubey
Jesse Vig
Chien-Sheng Wu
Caiming Xiong
HILM
KELM
44
17
0
11 Nov 2022
Truncation Sampling as Language Model Desmoothing
Truncation Sampling as Language Model Desmoothing
John Hewitt
Christopher D. Manning
Percy Liang
BDL
38
75
0
27 Oct 2022
Mutual Information Alleviates Hallucinations in Abstractive
  Summarization
Mutual Information Alleviates Hallucinations in Abstractive Summarization
Liam van der Poel
Ryan Cotterell
Clara Meister
HILM
11
56
0
24 Oct 2022
Precisely the Point: Adversarial Augmentations for Faithful and
  Informative Text Generation
Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation
Wenhao Wu
Wei Li
Jiachen Liu
Xinyan Xiao
Sujian Li
Yajuan Lyu
31
3
0
22 Oct 2022
Faithful to the Document or to the World? Mitigating Hallucinations via
  Entity-linked Knowledge in Abstractive Summarization
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization
Yue Dong
John Wieting
Pat Verga
HILM
16
24
0
28 Apr 2022
Survey of Hallucination in Natural Language Generation
Survey of Hallucination in Natural Language Generation
Ziwei Ji
Nayeon Lee
Rita Frieske
Tiezheng Yu
D. Su
...
Delong Chen
Wenliang Dai
Ho Shu Chan
Andrea Madotto
Pascale Fung
HILM
LRM
40
2,232
0
08 Feb 2022
Training Dynamic based data filtering may not work for NLP datasets
Training Dynamic based data filtering may not work for NLP datasets
Arka Talukdar
Monika Dagar
Prachi Gupta
Varun G. Menon
NoLa
35
3
0
19 Sep 2021
Similarity Based Label Smoothing For Dialogue Generation
Similarity Based Label Smoothing For Dialogue Generation
Sougata Saha
Souvik Das
R. Srihari
22
3
0
23 Jul 2021
Relation Classification with Entity Type Restriction
Relation Classification with Entity Type Restriction
Shengfei Lyu
Huanhuan Chen
14
68
0
18 May 2021
Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark
Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark
Nouha Dziri
Hannah Rashkin
Tal Linzen
David Reitter
ALM
187
79
0
30 Apr 2021
Improving Faithfulness in Abstractive Summarization with Contrast
  Candidate Generation and Selection
Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection
Sihao Chen
Fan Zhang
Kazoo Sone
Dan Roth
HILM
29
104
0
19 Apr 2021
The Curious Case of Hallucinations in Neural Machine Translation
The Curious Case of Hallucinations in Neural Machine Translation
Vikas Raunak
Arul Menezes
Marcin Junczys-Dowmunt
13
189
0
14 Apr 2021
Annotating and Modeling Fine-grained Factuality in Summarization
Annotating and Modeling Fine-grained Factuality in Summarization
Tanya Goyal
Greg Durrett
HILM
13
153
0
09 Apr 2021
Detecting Hallucinated Content in Conditional Neural Sequence Generation
Detecting Hallucinated Content in Conditional Neural Sequence Generation
Chunting Zhou
Graham Neubig
Jiatao Gu
Mona T. Diab
P. Guzmán
Luke Zettlemoyer
Marjan Ghazvininejad
HILM
36
194
0
05 Nov 2020
Language GANs Falling Short
Language GANs Falling Short
Massimo Caccia
Lucas Page-Caccia
W. Fedus
Hugo Larochelle
Joelle Pineau
Laurent Charlin
121
215
0
06 Nov 2018
OpenNMT: Open-Source Toolkit for Neural Machine Translation
OpenNMT: Open-Source Toolkit for Neural Machine Translation
Guillaume Klein
Yoon Kim
Yuntian Deng
Jean Senellart
Alexander M. Rush
259
1,896
0
10 Jan 2017
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