38 citations · 75 across the 8 of their papers we have counts for
9 papers
MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-Tuning
Zhenwen Liang, Dian Yu, Xiaoman Pan +4
Reasoning in mathematical domains remains a significant challenge for relatively small language models (LMs). Many current methods focus on specializing LMs in mathematical reasoni…
Enhancing Automated Software Traceability by Transfer Learning from Open-World Data
Jinfeng Lin, Amrit Poudel, Wenhao Yu +3
Software requirements traceability is a critical component of the software engineering process, enabling activities such as requirements validation, compliance verification, and sa…
Automatic Controllable Product Copywriting for E-Commerce
Xiaojie Guo, Qingkai Zeng, Meng Jiang +3
Automatic product description generation for e-commerce has witnessed significant advancement in the past decade. Product copywriting aims to attract users' interest and improve us…
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations
Qingkai Zeng, Jinfeng Lin, Wenhao Yu +2
Automatic construction of a taxonomy supports many applications in e-commerce, web search, and question answering. Existing taxonomy expansion or completion methods assume that new…
Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models
Jinfeng Lin, Yalin Liu, Qingkai Zeng +2
Software traceability establishes and leverages associations between diverse development artifacts. Researchers have proposed the use of deep learning trace models to link natural…
Validating Label Consistency in NER Data Annotation
Qingkai Zeng, Mengxia Yu, Wenhao Yu +2
Data annotation plays a crucial role in ensuring your named entity recognition (NER) projects are trained with the right information to learn from. Producing the most accurate labe…
Technical Question Answering across Tasks and Domains
Wenhao Yu, Lingfei Wu, Yu Deng +4
Building automatic technical support system is an important yet challenge task. Conceptually, to answer a user question on a technical forum, a human expert has to first retrieve r…
Crossing Variational Autoencoders for Answer Retrieval
Wenhao Yu, Lingfei Wu, Qingkai Zeng +3
Answer retrieval is to find the most aligned answer from a large set of candidates given a question. Learning vector representations of questions/answers is the key factor. Questio…
Enhancing Factual Consistency of Abstractive Summarization
Chenguang Zhu, William Hinthorn, Ruochen Xu +4
Automatic abstractive summaries are found to often distort or fabricate facts in the article. This inconsistency between summary and original text has seriously impacted its applic…