Skip to content
conftrace_

training objective

20 papers

Papers

Improving Controllable Generation: Faster Training and Better Performance via x0-Supervision CVPR 2026 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 NeurIPS 2024 Birdie: Advancing State Space Language Modeling with Dynamic Mixtures of Training Objectives EMNLP 2024 Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective ACL 2024 A Study on Transformer Configuration and Training Objective ICML 2023 Can language models learn analogical reasoning? Investigating training objectives and comparisons to human performance EMNLP 2023 Trained on 100 million words and still in shape: BERT meets British National Corpus EACL 2023 How Much Do Modifications to Transformer Language Models Affect Their Ability to Learn Linguistic Knowledge? ACL 2022 Methods for Estimating and Improving Robustness of Language Models NAACL 2022 BERTTune: Fine-Tuning Neural Machine Translation with BERTScore ACL 2021 One for More: Selecting Generalizable Samples for Generalizable ReID Model AAAI 2021 Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation ICML 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 Bag-of-Words as Target for Neural Machine Translation ACL 2018 Sentence Weighting for Neural Machine Translation Domain Adaptation COLING 2018 Investigating Efficient Feature Representation Methods and Training Objective for BLSTM-Based Phone Duration Prediction Interspeech 2017