Wenjuan Han

Second-Order Unsupervised Neural Dependency Parsing

2020

Most of the unsupervised dependency parsers are based on first-order probabilistic generative models that only consider local parent-child information. Inspired by second-order supervised dependency parsing, we proposed a second-order extension of unsupervised neural dependency models …

Robust Transfer Learning with Pretrained Language Models through Adapters

2021 · arXiv (Cornell University)

Transfer learning with large pretrained transformer-based language models like BERT has become a dominating approach for most NLP tasks. Simply fine-tuning those large language models on downstream tasks or combining it with task-specific pretraining is …

TransportationGames: Benchmarking Transportation Knowledge of (Multimodal) Large Language Models

2024 · arXiv (Cornell University)

Large language models (LLMs) and multimodal large language models (MLLMs) have shown excellent general capabilities, even exhibiting adaptability in many professional domains such as law, economics, transportation, and medicine. Currently, many domain-specific benchmarks have been …