Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation. - Ye Liu 006; Yao Wan 001; Jian-Guo Zhang 005; Wenting Zhao 006; Philip S. Yu (EACL, 2021)

Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots. - Wenting Zhao 006; Ye Liu 006; Yao Wan 001; Philip S. Yu (EMNLP (Findings), 2021)

Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation. - Ye Liu 006; Yao Wan 001; Jian-Guo Zhang 005; Wenting Zhao 006; Philip S. Yu (CoRR, 2021)

Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors. - Yang Wu 010; Yanyan Zhao; Hao Yang; Song Chen; Bing Qin 001; Xiaohuan Cao; Wenting Zhao 006 (ACL (Findings), 2022)

JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction. - Zhongfen Deng; Hao Peng 001; Tao Zhang 055; Shuaiqi Liu 002; Wenting Zhao 006; Yibo Wang 001; Philip S. Yu (IEEE Big Data, 2023)

Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification. - Zhongfen Deng; Seunghyun Yoon 002; Trung Bui; Franck Dernoncourt; Quan Hung Tran; Shuaiqi Liu 002; Wenting Zhao 006; Tao Zhang 055; Yibo Wang 001; Philip S. Yu (IEEE Big Data, 2023)

Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach. - Yibo Wang 001; Wenting Zhao 006; Yao Wan 001; Zhongfen Deng; Philip S. Yu (IJCNLP (Findings), 2023)

Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables. - Wenting Zhao 006; Ye Liu 006; Yao Wan 001; Yibo Wang 001; Zhongfen Deng; Philip S. Yu (IJCNLP (Findings), 2023)

Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce. - Yibo Wang 001; Yanbing Xue; Bo Liu; Musen Wen; Wenting Zhao 006; Stephen D. Guo; Philip S. Yu (SIGIR, 2023)

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. - Jiangshu Du; Yibo Wang 001; Wenting Zhao 006; Zhongfen Deng; Shuaiqi Liu 002; Renze Lou; Henry Peng Zou; Pranav Narayanan Venkit; Nan Zhang; Mukund Srinath; Haoran Zhang 004; Vipul Gupta; et al. (EMNLP, 2024)

kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning. - Wenting Zhao 006; Ye Liu 006; Yao Wan 001; Yibo Wang 001; Qingyang Wu; Zhongfen Deng; Jiangshu Du; Shuaiqi Liu 002; Yunlong Xu; Philip S. Yu (NAACL-HLT, 2024)

DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text. - Wenting Zhao 006; Ye Liu 006; Tong Niu; Yao Wan 001; Philip S. Yu; Shafiq Joty; Yingbo Zhou; Semih Yavuz (NAACL-HLT (Findings), 2024)

Heterogeneous Knowledge Grounding for Medical Question Answering with Retrieval Augmented Large Language Model. - Wenting Zhao 006; Zhongfen Deng; Shweta Yadav 001; Philip S. Yu (WWW (Companion Volume), 2024)

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. - Jiangshu Du; Yibo Wang 001; Wenting Zhao 006; Zhongfen Deng; Shuaiqi Liu 002; Renze Lou; Henry Peng Zou; Pranav Narayanan Venkit; Nan Zhang; Mukund Srinath; Haoran Ranran Zhang; Vipul Gupta; et al. (CoRR, 2024)

Can Large Language Models Serve as Evaluators for Code Summarization? - Yang Wu 010; Yao Wan 001; Zhaoyang Chu; Wenting Zhao 006; Ye Liu 006; Hongyu Zhang 002; Xuanhua Shi; Philip S. Yu (CoRR, 2024)

Neural Abstractive Summarization for Long Text and Multiple Tables. - Shuaiqi Liu 002; Jiannong Cao 001; Zhongfen Deng; Wenting Zhao 006; Ruosong Yang; Zhiyuan Wen; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2024)

ProjectTest: A Project-level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms. - Yibo Wang 001; Congying Xia; Wenting Zhao 006; Jiangshu Du; Chunyu Miao; Zhongfen Deng; Philip S. Yu; Chen Xing (CoRR, 2025)