Machine learning methods for language

Avoid Overthinking in Self-Supervised Models for Speech Recognition

COMPARATIVE LAYER-WISE ANALYSIS OF SELF-SUPERVISED SPEECH MODELS

Cocktail HuBERT: Generalized Self-Supervised Pre-training for Mixture and Single-Source Speech

SADE: A Self-adaptive Expert for Multi-dataset Question Answering

Boosting Prompt-based Few-shot Learners through Out-of-domain Knowledge Distillation

Towards A Unified Training for Levenshtein Transformer

PERCEIVE AND PREDICT: SELF SUPERVISED SPEECH REPRESENTATION BASED LOSS FUNCTIONS FOR SPEECH ENHANCEMENT

Mitigating Unintended Memorization in Language Models via Alternating Teaching

A CONTRASTIVE FRAMEWORK TO ENHANCE UNSUPERVISED SENTENCE REPRESENTATION LEARNING

Permutation Invariant Training for Paraphrase Identification

UNSUPERVISED EXTRACTIVE SUMMARIZATION WITH HETEROGENEOUS GRAPH EMBEDDINGS FOR CHINESE DOCUMENTS

AN ASR-FREE FLUENCY SCORING APPROACH WITH SELF-SUPERVISED LEARNING