Machine Translation
DeWave: Discrete EEG Waves Encoding for Brain Dynamics to Text Translation
The translation of brain dynamics into natural language is pivotal for brain-computer interfaces (BCIs).
Transcormer: TransformerforSentenceScoringwith SlidingLanguageModeling
Sentence scoring aims at measuring the likelihood score of a sentence and is widely usedinnatural language processing scenarios, likereranking, which isto select the best sentence from multiple candidates.
Natural Language Instruction-following with Task-related Language Development and Translation
Natural language-conditioned reinforcement learning (RL) enables agents to follow human instructions.
Beyond MLE: Convex Learning for Text Generation
Maximum likelihood estimation (MLE) is a statistical method used to estimate the parameters of a probability distribution that best explain the observed data.
Non-Monotonic Latent Alignmentsfor CTC-Based Non-Autoregressive Machine Translation
Follo14,36], we alignments, outputand Ta, (y) whichreturnsY including T 1 : Y 7! Yisthecollapsing aandthen alignmenta=( , A, A,)iscollapsedy =( withamonotonic alignment logp(y|x, ) = log X Model BLEUMETEOR Speed Base Transformer 27.54 54.38 1.0 Vanilla-NAT 19.32 45.79 15.5
