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ORCIDShiyue Zhang 0001
Person information
- unicode name: 张诗悦
- affiliation: Bloomberg AI
- affiliation (PhD 2023): University of North Carolina at Chapel Hill, NC, USA
Other persons with the same name
- Shiyue Zhang (aka: Shi-Yue Zhang) — disambiguation page
- Shiyue Zhang 0002 — Peking University, School of Mathematical Sciences, Beijing, China
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2020 – today
- 2026
[j1]Arie Cattan, Paul Roit, Shiyue Zhang, David Wan, Roee Aharoni, Idan Szpektor, Mohit Bansal, Ido Dagan:
Localizing Factual Inconsistencies in Attributable Text Generation. Trans. Assoc. Comput. Linguistics 14: 100-123 (2026)- 2025
- [c24]Ozan Irsoy, Pengxiang Cheng
, Jennifer L. Chen, Daniel Preotiuc-Pietro, Shiyue Zhang, Duccio Pappadopulo:
Improving Instruct Models for Free: A Study on Partial Adaptation. EMNLP 2025: 11507-11521 - [c23]Bang An, Shiyue Zhang, Mark Dredze:
RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models. NAACL (Long Papers) 2025: 5444-5474 - [i27]Ozan Irsoy, Pengxiang Cheng, Jennifer L. Chen, Daniel Preotiuc-Pietro, Shiyue Zhang, Duccio Pappadopulo:
Improving Instruct Models for Free: A Study on Partial Adaptation. CoRR abs/2504.11626 (2025) - [i26]Bang An, Shiyue Zhang, Mark Dredze:
RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models. CoRR abs/2504.18041 (2025) - [i25]Shuyang Cao, Karthik Radhakrishnan, David S. Rosenberg, Steven Lu, Pengxiang Cheng, Lu Wang, Shiyue Zhang:
Evaluating the Retrieval Robustness of Large Language Models. CoRR abs/2505.21870 (2025) - 2024
- [i24]Arie Cattan, Paul Roit, Shiyue Zhang, David Wan, Roee Aharoni, Idan Szpektor, Mohit Bansal, Ido Dagan:
Localizing Factual Inconsistencies in Attributable Text Generation. CoRR abs/2410.07473 (2024) - [i23]Shiyue Zhang, David Wan, Arie Cattan, Ayal Klein, Ido Dagan, Mohit Bansal:
QAPyramid: Fine-grained Evaluation of Content Selection for Text Summarization. CoRR abs/2412.07096 (2024) - 2023
- [b1]Shiyue Zhang:
Towards Reliable and Inclusive Natural Language Generation. University of North Carolina, Chapel Hill, USA, 2023 - [c22]Shiyue Zhang, David Wan, Mohit Bansal:
Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization. ACL (1) 2023: 2153-2174 - [c21]Derek Tam, Anisha Mascarenhas, Shiyue Zhang, Sarah Kwan, Mohit Bansal, Colin Raffel:
Evaluating the Factual Consistency of Large Language Models Through News Summarization. ACL (Findings) 2023: 5220-5255 - [c20]Shiyue Zhang, Shijie Wu, Ozan Irsoy, Steven Lu, Mohit Bansal, Mark Dredze, David S. Rosenberg:
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies. ACL (1) 2023: 9027-9050 - [c19]David Wan, Shiyue Zhang, Mohit Bansal:
HistAlign: Improving Context Dependency in Language Generation by Aligning with History. EMNLP 2023: 2941-2960 - [c18]Swarnadeep Saha, Shiyue Zhang, Peter Hase, Mohit Bansal:
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees. ICLR 2023 - [i22]David Wan, Shiyue Zhang, Mohit Bansal:
HistAlign: Improving Context Dependency in Language Generation by Aligning with History. CoRR abs/2305.04782 (2023) - [i21]Shiyue Zhang, Shijie Wu, Ozan Irsoy, Steven Lu, Mohit Bansal, Mark Dredze, David S. Rosenberg:
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies. CoRR abs/2305.16958 (2023) - 2022
- [c17]Shiyue Zhang, Benjamin Frey, Mohit Bansal:
How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language. ACL (1) 2022: 1529-1541 - [c16]Shiyue Zhang, Vishrav Chaudhary, Naman Goyal, James Cross, Guillaume Wenzek, Mohit Bansal, Francisco Guzmán:
How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training? AMTA 2022: 97-116 - [c15]Xiang Zhou, Shiyue Zhang, Mohit Bansal:
Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging? NAACL-HLT 2022: 1099-1114 - [i20]Shiyue Zhang, Benjamin Frey, Mohit Bansal:
How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language. CoRR abs/2204.11909 (2022) - [i19]Shiyue Zhang, Vishrav Chaudhary, Naman Goyal, James Cross, Guillaume Wenzek, Mohit Bansal, Francisco Guzmán:
How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training? CoRR abs/2204.14268 (2022) - [i18]Xiang Zhou, Shiyue Zhang, Mohit Bansal:
Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging? CoRR abs/2206.14969 (2022) - [i17]Yinuo Hu, Shiyue Zhang, Viji Sathy, Abigail T. Panter, Mohit Bansal:
SETSum: Summarization and Visualization of Student Evaluations of Teaching. CoRR abs/2207.03640 (2022) - [i16]Shiyue Zhang, David Wan, Mohit Bansal:
Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization. CoRR abs/2209.03549 (2022) - [i15]Swarnadeep Saha, Shiyue Zhang, Peter Hase, Mohit Bansal:
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees. CoRR abs/2209.10492 (2022) - [i14]Derek Tam, Anisha Mascarenhas, Shiyue Zhang, Sarah Kwan, Mohit Bansal, Colin Raffel:
Evaluating the Factual Consistency of Large Language Models Through Summarization. CoRR abs/2211.08412 (2022) - 2021
- [c14]Shiyue Zhang, Benjamin Frey, Mohit Bansal:
ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback. ACL (demo) 2021: 272-279 - [c13]Zineng Tang, Shiyue Zhang, Hyounghun Kim, Mohit Bansal:
Continuous Language Generative Flow. ACL/IJCNLP (1) 2021: 4609-4622 - [c12]Shiyue Zhang, Asli Celikyilmaz, Jianfeng Gao, Mohit Bansal:
EmailSum: Abstractive Email Thread Summarization. ACL/IJCNLP (1) 2021: 6895-6909 - [c11]Shiyue Zhang, Mohit Bansal:
Finding a Balanced Degree of Automation for Summary Evaluation. EMNLP (1) 2021: 6617-6632 - [i13]Shiyue Zhang, Asli Celikyilmaz, Jianfeng Gao, Mohit Bansal:
EmailSum: Abstractive Email Thread Summarization. CoRR abs/2107.14691 (2021) - [i12]Shiyue Zhang, Benjamin Frey, Mohit Bansal:
ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback. CoRR abs/2107.14800 (2021) - [i11]Shiyue Zhang, Mohit Bansal:
Finding a Balanced Degree of Automation for Summary Evaluation. CoRR abs/2109.11503 (2021) - 2020
- [c10]Shiyue Zhang, Benjamin Frey, Mohit Bansal:
ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization. EMNLP (1) 2020: 577-595 - [c9]Peter Hase, Shiyue Zhang, Harry Xie, Mohit Bansal:
Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language? EMNLP (Findings) 2020: 4351-4367 - [i10]Peter Hase, Shiyue Zhang, Harry Xie, Mohit Bansal:
Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language? CoRR abs/2010.04119 (2020) - [i9]Shiyue Zhang, Benjamin Frey, Mohit Bansal:
ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization. CoRR abs/2010.04791 (2020)
2010 – 2019
- 2019
- [c8]Shiyue Zhang, Mohit Bansal:
Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering. EMNLP/IJCNLP (1) 2019: 2495-2509 - [i8]Shiyue Zhang, Mohit Bansal:
Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering. CoRR abs/1909.06356 (2019) - 2018
- [c7]Jiyuan Zhang, Zheling Zhang, Shiyue Zhang, Dong Wang:
VV-Couplet: An open source Chinese couplet generation system. APSIPA 2018: 1756-1760 - 2017
- [c6]Jiyuan Zhang, Yang Feng, Dong Wang, Yang Wang, Andrew Abel, Shiyue Zhang, Andi Zhang:
Flexible and Creative Chinese Poetry Generation Using Neural Memory. ACL (1) 2017: 1364-1373 - [c5]Shiyue Zhang, Gulnigar Mahmut, Dong Wang, Askar Hamdulla:
Memory-augmented Chinese-Uyghur neural machine translation. APSIPA 2017: 1092-1096 - [c4]Aodong Li, Shiyue Zhang, Dong Wang, Thomas Fang Zheng:
Enhanced neural machine translation by learning from draft. APSIPA 2017: 1583-1587 - [c3]Yang Feng, Shiyue Zhang, Andi Zhang, Dong Wang, Andrew Abel:
Memory-augmented Neural Machine Translation. EMNLP 2017: 1390-1399 - [c2]Zhiyuan Tang, Ying Shi, Dong Wang, Yang Feng, Shiyue Zhang:
Memory visualization for gated recurrent neural networks in speech recognition. ICASSP 2017: 2736-2740 - [c1]Dong Wang, Thomas Fang Zheng, Zhiyuan Tang, Ying Shi, Lantian Li, Shiyue Zhang, Hongzhi Yu, Guanyu Li, Shipeng Xu, Askar Hamdulla, Mijit Ablimit, Gulnigar Mahmut:
M2ASR: Ambitions and first year progress. O-COCOSDA 2017: 1-6 - [i7]Jiyuan Zhang, Yang Feng, Dong Wang, Yang Wang, Andrew Abel, Shiyue Zhang, Andi Zhang:
Flexible and Creative Chinese Poetry Generation Using Neural Memory. CoRR abs/1705.03773 (2017) - [i6]Shiyue Zhang, Gulnigar Mahmut, Dong Wang, Askar Hamdulla:
Memory-augmented Chinese-Uyghur Neural Machine Translation. CoRR abs/1706.08683 (2017) - [i5]Yang Feng, Shiyue Zhang, Andi Zhang, Dong Wang, Andrew Abel:
Memory-augmented Neural Machine Translation. CoRR abs/1708.02005 (2017) - [i4]Aodong Li, Shiyue Zhang, Dong Wang, Thomas Fang Zheng:
Enhanced Neural Machine Translation by Learning from Draft. CoRR abs/1710.01789 (2017) - [i3]Shiyue Zhang, Pengtao Xie, Dong Wang, Eric P. Xing:
Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning. CoRR abs/1711.04329 (2017) - 2016
- [i2]Lantian Li, Zhiyuan Tang, Dong Wang, Yang Feng, Shiyue Zhang:
Collaborative Learning for Language and Speaker Recognition. CoRR abs/1609.08442 (2016) - [i1]Zhiyuan Tang, Ying Shi, Dong Wang, Yang Feng, Shiyue Zhang:
Memory Visualization for Gated Recurrent Neural Networks in Speech Recognition. CoRR abs/1609.08789 (2016)
Coauthor Index
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