1 citations · 1 across the 4 of their papers we have counts for
4 papers
Making Long-Context Language Models Better Multi-Hop Reasoners
Yanyang Li, Shuo Liang, Michael R. Lyu +1
Recent advancements in long-context modeling have enhanced language models (LMs) for complex tasks across multiple NLP applications. Despite this progress, we find that these model…
VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control
Zi-Yuan Hu, Yanyang Li, Michael R. Lyu +1
As the model size of pre-trained language models (PLMs) grows rapidly, full fine-tuning becomes prohibitively expensive for model training and storage. In vision-and-language (VL),…
CLEVA: Chinese Language Models EVAluation Platform
Yanyang Li, Jianqiao Zhao, Duo Zheng +8
With the continuous emergence of Chinese Large Language Models (LLMs), how to evaluate a model's capabilities has become an increasingly significant issue. The absence of a compreh…
Multi-Path Transformer is Better: A Case Study on Neural Machine Translation
Ye Lin, Shuhan Zhou, Yanyang Li +3
For years the model performance in machine learning obeyed a power-law relationship with the model size. For the consideration of parameter efficiency, recent studies focus on incr…