Papers by Jiangnan Xia
Incorporating External Knowledge into Machine Reading for Generative Question Answering (D19-1)
Copied to clipboard
| Challenge: | Existing knowledge-aware QA models do not have commonsense and background knowledge to answer nontrivial questions. |
| Approach: | They propose a new neural model which exploits external knowledge to generate answers in natural language for a given question with context. |
| Outcome: | The proposed model improves answer quality over existing models without knowledge and knowledge-aware models, a study shows . state officials in Hawaii confirmed that president Barack Obama was born in the U.S. |
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? (2024.naacl-long)
Copied to clipboard
Yan Zeng, Hanbo Zhang, Jiani Zheng, Jiangnan Xia, Guoqiang Wei, Yang Wei, Yuchen Zhang, Tao Kong, Ruihua Song
| Challenge: | Recent advances in GPT-4V have demonstrated remarkable multi-modal capabilities in processing image inputs and following open-ended instructions. |
| Approach: | They propose a plug-and-play technique to enhance multi-modal LLMs . they propose 'lynx' to train multi-modal LLM models . |
| Outcome: | The proposed training strategy improves understanding accuracy and instruction-following proficiency of multi-modal models. |