Shuhang Liu

Momentum Decoding: Open-ended Text Generation As Graph Exploration

2022 · arXiv (Cornell University)

Open-ended text generation with autoregressive language models (LMs) is one of the core tasks in natural language processing. However, maximization-based decoding methods (e.g., greedy/beam search) often lead to the degeneration problem, i.e., the generated text …

See then Tell: Enhancing Key Information Extraction with Vision Grounding

2024 · arXiv (Cornell University)

In the digital era, the ability to understand visually rich documents that integrate text, complex layouts, and imagery is critical. Traditional Key Information Extraction (KIE) methods primarily rely on Optical Character Recognition (OCR), which often …