Collaborative Learning for Language and Speaker Recognition. - Lantian Li; Zhiyuan Tang; Dong Wang 013; Yang Feng 004; Shiyue Zhang 001 (CoRR, 2016)

Flexible and Creative Chinese Poetry Generation Using Neural Memory. - Jiyuan Zhang 001; Yang Feng 004; Dong Wang 013; Yang Wang; Andrew Abel; Shiyue Zhang 001; Andi Zhang 002 (ACL (1), 2017)

Enhanced neural machine translation by learning from draft. - Aodong Li; Shiyue Zhang 001; Dong Wang 013; Thomas Fang Zheng (APSIPA, 2017)

Memory-augmented Chinese-Uyghur neural machine translation. - Shiyue Zhang 001; Gulnigar Mahmut; Dong Wang 013; Askar Hamdulla (APSIPA, 2017)

Memory-augmented Neural Machine Translation. - Yang Feng 004; Shiyue Zhang 001; Andi Zhang 002; Dong Wang 013; Andrew Abel (EMNLP, 2017)

Memory visualization for gated recurrent neural networks in speech recognition. - Zhiyuan Tang; Ying Shi 001; Dong Wang 013; Yang Feng 004; Shiyue Zhang 001 (ICASSP, 2017)

M2ASR: Ambitions and first year progress. - Dong Wang 013; Thomas Fang Zheng; Zhiyuan Tang; Ying Shi 001; Lantian Li; Shiyue Zhang 001; Hongzhi Yu; Guanyu Li; Shipeng Xu; Askar Hamdulla; Mijit Ablimit; Gulnigar Mahmut (O-COCOSDA, 2017)

Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning. - Shiyue Zhang 001; Pengtao Xie; Dong Wang 013; Eric P. Xing (CoRR, 2017)

VV-Couplet: An open source Chinese couplet generation system. - Jiyuan Zhang 001; Zheling Zhang; Shiyue Zhang 001; Dong Wang 013 (APSIPA, 2018)

Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering. - Shiyue Zhang 001; Mohit Bansal (EMNLP/IJCNLP (1), 2019)

Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language? - Peter Hase; Shiyue Zhang 001; Harry Xie; Mohit Bansal (EMNLP (Findings), 2020)

ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization. - Shiyue Zhang 001; Benjamin Frey; Mohit Bansal (EMNLP (1), 2020)

Continuous Language Generative Flow. - Zineng Tang; Shiyue Zhang 001; Hyounghun Kim; Mohit Bansal (ACL/IJCNLP (1), 2021)

EmailSum: Abstractive Email Thread Summarization. - Shiyue Zhang 001; Asli Celikyilmaz; Jianfeng Gao 001; Mohit Bansal (ACL/IJCNLP (1), 2021)

ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback. - Shiyue Zhang 001; Benjamin Frey; Mohit Bansal (ACL (demo), 2021)

Finding a Balanced Degree of Automation for Summary Evaluation. - Shiyue Zhang 001; Mohit Bansal (EMNLP (1), 2021)

How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language. - Shiyue Zhang 001; Benjamin Frey; Mohit Bansal (ACL (1), 2022)

How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training? - Shiyue Zhang 001; Vishrav Chaudhary; Naman Goyal 001; James Cross 003; Guillaume Wenzek; Mohit Bansal; Francisco Guzmán (AMTA, 2022)

Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging? - Xiang Zhou; Shiyue Zhang 001; Mohit Bansal (NAACL-HLT, 2022)

SETSum: Summarization and Visualization of Student Evaluations of Teaching. - Yinuo Hu; Shiyue Zhang 001; Viji Sathy; Abigail T. Panter; Mohit Bansal (CoRR, 2022)

Evaluating the Factual Consistency of Large Language Models Through Summarization. - Derek Tam; Anisha Mascarenhas; Shiyue Zhang 001; Sarah Kwan; Mohit Bansal; Colin Raffel (CoRR, 2022)

Evaluating the Factual Consistency of Large Language Models Through News Summarization. - Derek Tam; Anisha Mascarenhas; Shiyue Zhang 001; Sarah Kwan; Mohit Bansal; Colin Raffel (ACL (Findings), 2023)

Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization. - Shiyue Zhang 001; David Wan; Mohit Bansal (ACL (1), 2023)

MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies. - Shiyue Zhang 001; Shijie Wu; Ozan Irsoy; Steven Lu 003; Mohit Bansal; Mark Dredze; David S. Rosenberg (ACL (1), 2023)

HistAlign: Improving Context Dependency in Language Generation by Aligning with History. - David Wan; Shiyue Zhang 001; Mohit Bansal (EMNLP, 2023)

Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees. - Swarnadeep Saha; Shiyue Zhang 001; Peter Hase; Mohit Bansal (ICLR, 2023)

Towards Reliable and Inclusive Natural Language Generation. - Shiyue Zhang 001 (2023)

Localizing Factual Inconsistencies in Attributable Text Generation. - Arie Cattan; Paul Roit; Shiyue Zhang 001; David Wan; Roee Aharoni; Idan Szpektor; Mohit Bansal; Ido Dagan (CoRR, 2024)

QAPyramid: Fine-grained Evaluation of Content Selection for Text Summarization. - Shiyue Zhang 001; David Wan; Arie Cattan; Ayal Klein; Ido Dagan; Mohit Bansal (CoRR, 2024)

RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models. - Bang An; Shiyue Zhang 001; Mark Dredze (NAACL (Long Papers), 2025)

Improving Instruct Models for Free: A Study on Partial Adaptation. - Ozan Irsoy; Pengxiang Cheng 001; Jennifer L. Chen; Daniel Preotiuc-Pietro; Shiyue Zhang 001; Duccio Pappadopulo (CoRR, 2025)

Evaluating the Retrieval Robustness of Large Language Models. - Shuyang Cao; Karthik Radhakrishnan; David S. Rosenberg; Steven Lu 003; Pengxiang Cheng 001; Lu Wang 008; Shiyue Zhang 001 (CoRR, 2025)