Vikas Yadav

Multi-class Hierarchical Question Classification for Multiple Choice Science Exams

2019 · arXiv (Cornell University)

Prior work has demonstrated that question classification (QC), recognizing the problem domain of a question, can help answer it more accurately. However, developing strong QC algorithms has been hindered by the limited size and complexity …

M2Lingual: Enhancing Multilingual, Multi-Turn Instruction Alignment in Large Language Models

2024 · arXiv (Cornell University)

Instruction finetuning (IFT) is critical for aligning Large Language Models (LLMs) to follow instructions. While many effective IFT datasets have been introduced recently, they predominantly focus on high-resource languages like English. To better align LLMs …

A Survey on Recent Advances in Named Entity Recognition from Deep Learning models

2019 · arXiv (Cornell University)

Named Entity Recognition (NER) is a key component in NLP systems for question answering, information retrieval, relation extraction, etc. NER systems have been studied and developed widely for decades, but accurate systems using deep neural …