← Back to papers

2024 ACML ACML 2024

MLCL: A Framework for Reducing Language Imbalance in Sino-Tibetan Languages through Adapter Structures

Authors

JiaJun Fang , Wentao Huang , Aimin Yang , Dong Zhou , Nankai Lin

Related papers

Towards Calibrated Losses for Adversarial Robust Reject Option Classification 2024

Exploring Beyond Curiosity Rewards: Language-Driven Exploration in RL 2024

Analyzing Diffusion Models on Synthesizing Training Datasets 2024

A Single-Stage Multi-Style License Plate Recognition Method Based on Attention 2024

GRU-M: A Joint Impute and Learn Approach for Sequential Prediction under Missing Data 2024