98 citations · 193 across the 17 of their papers we have counts for
17 papers
A Cost-Effective Multimodal LLM Reasoning Framework for Question Answering over Irregular Clinical Time Series
Frank Nie, Ethan B Liu, Yuan Zhu +2
Question answering (QA) over irregular clinical time series (ICTS) plays a pivotal role in a wide range of healthcare applications. Although recent multimodal time-series large lan…
CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series
Frank Nie, Ethan B. Liu, Yuan Zhu +3
Clinical time series are central to patient monitoring, risk assessment, and clinical decision support. However, they are often sparse, irregularly sampled, and asynchronous, makin…
Prophet Attention: Predicting Attention with Future Attention for Image Captioning
Fenglin Liu, Xuancheng Ren, Xian Wu +3
Recently, attention based models have been used extensively in many sequence-to-sequence learning systems. Especially for image captioning, the attention based models are expected…
Audio-Oriented Multimodal Machine Comprehension: Task, Dataset and Model
Zhiqi Huang, Fenglin Liu, Xian Wu +4
While Machine Comprehension (MC) has attracted extensive research interests in recent years, existing approaches mainly belong to the category of Machine Reading Comprehension task…
Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation
Fenglin Liu, Xian Wu, Shen Ge +2
Automatically generating radiology reports can improve current clinical practice in diagnostic radiology. On one hand, it can relieve radiologists from the heavy burden of report w…
Automatic Distractor Generation for Multiple Choice Questions in Standard Tests
Zhaopeng Qiu, Xian Wu, Wei Fan
To assess the knowledge proficiency of a learner, multiple choice question is an efficient and widespread form in standard tests. However, the composition of the multiple choice qu…
Commonsense Evidence Generation and Injection in Reading Comprehension
Ye Liu, Tao Yang, Zeyu You +2
Human tackle reading comprehension not only based on the given context itself but often rely on the commonsense beyond. To empower the machine with commonsense reasoning, in this p…
Multi-Grained Named Entity Recognition
Congying Xia, Chenwei Zhang, Tao Yang +6
This paper presents a novel framework, MGNER, for Multi-Grained Named Entity Recognition where multiple entities or entity mentions in a sentence could be non-overlapping or totall…
Entity Synonym Discovery via Multipiece Bilateral Context Matching
Chenwei Zhang, Yaliang Li, Nan Du +2
Being able to automatically discover synonymous entities in an open-world setting benefits various tasks such as entity disambiguation or knowledge graph canonicalization. Existing…
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering
Yang Deng, Yuexiang Xie, Yaliang Li +5
Answer selection and knowledge base question answering (KBQA) are two important tasks of question answering (QA) systems. Existing methods solve these two tasks separately, which r…
Joint Slot Filling and Intent Detection via Capsule Neural Networks
Chenwei Zhang, Yaliang Li, Nan Du +2
Being able to recognize words as slots and detect the intent of an utterance has been a keen issue in natural language understanding. The existing works either treat slot filling a…
On the Generation of Medical Question-Answer Pairs
Sheng Shen, Yaliang Li, Nan Du +7
Question answering (QA) has achieved promising progress recently. However, answering a question in real-world scenarios like the medical domain is still challenging, due to the req…
Finding Similar Medical Questions from Question Answering Websites
Yaliang Li, Liuyi Yao, Nan Du +5
The past few years have witnessed the flourishing of crowdsourced medical question answering (Q&A) websites. Patients who have medical information demands tend to post questions ab…
MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data
Yang Deng, Yaliang Li, Ying Shen +4
Knowledge Graph (KG) contains entities and the relations between entities. Due to its representation ability, KG has been successfully applied to support many medical/healthcare ta…
Bringing Semantic Structures to User Intent Detection in Online Medical Queries
Chenwei Zhang, Nan Du, Wei Fan +3
The Internet has revolutionized healthcare by offering medical information ubiquitously to patients via web search. The healthcare status, complex medical information needs of pati…
Multi-source Hierarchical Prediction Consolidation
Chenwei Zhang, Sihong Xie, Yaliang Li +3
In big data applications such as healthcare data mining, due to privacy concerns, it is necessary to collect predictions from multiple information sources for the same instance, wi…
A Survey on Truth Discovery
Yaliang Li, Jing Gao, Chuishi Meng +5
Thanks to information explosion, data for the objects of interest can be collected from increasingly more sources. However, for the same object, there usually exist conflicts among…