23 citations · 51 across the 12 of their papers we have counts for
13 papers
SCOP: Evaluating the Comprehension Process of Large Language Models from a Cognitive View
Yongjie Xiao, Hongru Liang, Peixin Qin +2
Despite the great potential of large language models(LLMs) in machine comprehension, it is still disturbing to fully count on them in real-world scenarios. This is probably because…
Listening to Patients: A Framework of Detecting and Mitigating Patient Misreport for Medical Dialogue Generation
Lang Qin, Yao Zhang, Hongru Liang +2
Medical Dialogue Systems aim to provide automated healthcare support through patient-agent conversations. Previous efforts typically regard patients as ideal users -- one who accur…
Well Begun is Half Done: Generator-agnostic Knowledge Pre-Selection for Knowledge-Grounded Dialogue
Lang Qin, Yao Zhang, Hongru Liang +2
Accurate knowledge selection is critical in knowledge-grounded dialogue systems. Towards a closer look at it, we offer a novel perspective to organize existing literature, i.e., kn…
DiVa: An Iterative Framework to Harvest More Diverse and Valid Labels from User Comments for Music
Hongru Liang, Jingyao Liu, Yuanxin Xiang +4
Towards sufficient music searching, it is vital to form a complete set of labels for each song. However, current solutions fail to resolve it as they cannot produce diverse enough…
Knowing-how & Knowing-that: A New Task for Machine Comprehension of User Manuals
Hongru Liang, Jia Liu, Weihong Du +4
The machine reading comprehension (MRC) of user manuals has huge potential in customer service. However, current methods have trouble answering complex questions. Therefore, we int…
Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy
Wenqiang Lei, Yao Zhang, Feifan Song +5
Proactive dialogue system is able to lead the conversation to a goal topic and has advantaged potential in bargain, persuasion and negotiation. Current corpus-based learning manner…
Fact-Tree Reasoning for N-ary Question Answering over Knowledge Graphs
Yao Zhang, Peiyao Li, Hongru Liang +2
In the question answering(QA) task, multi-hop reasoning framework has been extensively studied in recent years to perform more efficient and interpretable answer reasoning on the K…
Towards Standard Criteria for human evaluation of Chatbots: A Survey
Hongru Liang, Huaqing Li
Human evaluation is becoming a necessity to test the performance of Chatbots. However, off-the-shelf settings suffer the severe reliability and replication issues partly because of…
A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics
Hongru Liang, Haozheng Wang, Qian Li +5
Learning and analyzing rap lyrics is a significant basis for many web applications, such as music recommendation, automatic music categorization, and music information retrieval, d…
Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction
Yao Zhang, Xu Zhang, Jun Wang +5
Developing link prediction models to automatically complete knowledge graphs has recently been the focus of significant research interest. The current methods for the link predicti…
PiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music
Hongru Liang, Wenqiang Lei, Paul Yaozhu Chan +3
Definitive embeddings remain a fundamental challenge of computational musicology for symbolic music in deep learning today. Analogous to natural language, music can be modeled as a…
GMH: A General Multi-hop Reasoning Model for KG Completion
Yao Zhang, Hongru Liang, Adam Jatowt +4
Knowledge graphs are essential for numerous downstream natural language processing applications, but are typically incomplete with many facts missing. This results in research effo…
JTAV: Jointly Learning Social Media Content Representation by Fusing Textual, Acoustic, and Visual Features
Hongru Liang, Haozheng Wang, Jun Wang +4
Learning social media content is the basis of many real-world applications, including information retrieval and recommendation systems, among others. In contrast with previous work…