conftrace
_
Papers
Trends
Conferences
Explore
More
Authors
Topics
Keywords
Insights
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Insights
Achievements
Home
›
Keywords
›
training objective
training objective
19 papers
Explore in graph
Co-occurring keywords
neural machine translation
(2310)
text generation
(2913)
language model
(4599)
large language model
(13587)
representation learning
(6206)
masked autoencoder
(203)
linear attention
(52)
commonsense reasoning
(506)
word embedding
(1764)
cross entropy
(48)
Papers
Thesis proposal: Are We Losing Textual Diversity to Natural Language Processing?
EACL 2026
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs
NIPS 2024
Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective
ACL 2024
Birdie: Advancing State Space Language Modeling with Dynamic Mixtures of Training Objectives
EMNLP 2024
A Study on Transformer Configuration and Training Objective
ICML 2023
Trained on 100 million words and still in shape: BERT meets British National Corpus
EACL 2023
Can language models learn analogical reasoning? Investigating training objectives and comparisons to human performance
EMNLP 2023
Methods for Estimating and Improving Robustness of Language Models
NAACL 2022
How Much Do Modifications to Transformer Language Models Affect Their Ability to Learn Linguistic Knowledge?
ACL 2022
One for More: Selecting Generalizable Samples for Generalizable ReID Model
AAAI 2021
Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation
ICML 2021
BERTTune: Fine-Tuning Neural Machine Translation with BERTScore
ACL 2021
Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution
EMNLP 2020
Using Context in Neural Machine Translation Training Objectives
ACL 2020
Sentence-Level Agreement for Neural Machine Translation
ACL 2019
Summary Level Training of Sentence Rewriting for Abstractive Summarization
EMNLP 2019
Sentence Weighting for Neural Machine Translation Domain Adaptation
COLING 2018
Bag-of-Words as Target for Neural Machine Translation
ACL 2018
Investigating Efficient Feature Representation Methods and Training Objective for BLSTM-Based Phone Duration Prediction
INTERSPEECH 2017
<
1
>