21 citations · 36 across the 4 of their papers we have counts for
4 papers
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?
Yan Zeng, Hanbo Zhang, Jiani Zheng +5
Recent advancements in Large Language Models (LLMs) such as GPT4 have displayed exceptional multi-modal capabilities in following open-ended instructions given images. However, the…
Incorporating External Knowledge into Machine Reading for Generative Question Answering
Bin Bi, Chen Wu, Ming Yan +3
Commonsense and background knowledge is required for a QA model to answer many nontrivial questions. Different from existing work on knowledge-aware QA, we focus on a more challeng…
Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning
Jiangnan Xia, Chen Wu, Ming Yan
This paper focuses on how to take advantage of external relational knowledge to improve machine reading comprehension (MRC) with multi-task learning. Most of the traditional method…
A Deep Cascade Model for Multi-Document Reading Comprehension
Ming Yan, Jiangnan Xia, Chen Wu +7
A fundamental trade-off between effectiveness and efficiency needs to be balanced when designing an online question answering system. Effectiveness comes from sophisticated functio…