Semih Yavuz
Semih Yavuz
Salesforce Research
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A simple language model for task-oriented dialogue
E Hosseini-Asl, B McCann, CS Wu, S Yavuz, R Socher
NeurIPS 2020, 2020
Taskmaster-1: Toward a realistic and diverse dialog dataset
B Byrne, K Krishnamoorthi, C Sankar, A Neelakantan, D Duckworth, ...
EMNLP 2019 [arXiv preprint arXiv:1909.05358], 2019
Lingvo: a modular and scalable framework for sequence-to-sequence modeling
J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ...
arXiv preprint arXiv:1902.08295, 2019
Monotonic infinite lookback attention for simultaneous machine translation
N Arivazhagan, C Cherry, W Macherey, CC Chiu, S Yavuz, R Pang, W Li, ...
ACL 2019 [arXiv preprint arXiv:1906.05218], 2019
RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering
X Ye, S Yavuz, K Hashimoto, Y Zhou, C Xiong
ACL 2022 [arXiv preprint arXiv:2109.08678], 2021
Deepcopy: Grounded response generation with hierarchical pointer networks
S Yavuz, A Rastogi, GL Chao, D Hakkani-Tur
SIGDial 2019 [arXiv preprint arXiv:1908.10731], 2019
Dialsql: Dialogue based structured query generation
I Gür, S Yavuz, Y Su, X Yan
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
S Li*, S Yavuz*, K Hashimoto, J Li, T Niu, N Rajani, X Yan, Y Zhou, ...
ICLR 2021 [arXiv preprint arXiv:2010.12850], 2021
Improving semantic parsing via answer type inference
S Yavuz, I Gür, Y Su, M Srivatsa, X Yan
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors
L Tang, T Goyal, AR Fabbri, P Laban, J Xu, S Yavuz, W Kryściński, ...
arXiv preprint arXiv:2205.12854, 2022
Global relation embedding for relation extraction
Y Su, H Liu, S Yavuz, I Gur, H Sun, X Yan
NAACL 2018 [arXiv preprint arXiv:1704.05958], 2017
Unsupervised paraphrasing with pretrained language models
T Niu, S Yavuz, Y Zhou, NS Keskar, H Wang, C Xiong
arXiv preprint arXiv:2010.12885, 2020
What it takes to achieve 100% condition accuracy on WikiSQL
S Yavuz, I Gür, Y Su, X Yan
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
Improving the faithfulness of abstractive summarization via entity coverage control
H Zhang, S Yavuz, W Kryscinski, K Hashimoto, Y Zhou
arXiv preprint arXiv:2207.02263, 2022
Dense hierarchical retrieval for open-domain question answering
Y Liu, K Hashimoto, Y Zhou, S Yavuz, C Xiong, PS Yu
arXiv preprint arXiv:2110.15439, 2021
SFR-Embedding-Mistral: Enhance Text Retrieval with Transfer Learning
R Meng, Y Liu, SR Joty, C Xiong, Y Zhou, S Yavuz, 2024
Xgen-7b technical report
E Nijkamp, T Xie, H Hayashi, B Pang, C Xia, C Xing, J Vig, S Yavuz, ...
arXiv preprint arXiv:2309.03450, 2023
Choose your qa model wisely: A systematic study of generative and extractive readers for question answering
M Luo, K Hashimoto, S Yavuz, Z Liu, C Baral, Y Zhou
arXiv preprint arXiv:2203.07522, 2022
Uni-parser: Unified semantic parser for question answering on knowledge base and database
Y Liu, S Yavuz, R Meng, D Radev, C Xiong, Y Zhou
arXiv preprint arXiv:2211.05165, 2022
Modeling Multi-hop Question Answering as Single Sequence Prediction
S Yavuz, K Hashimoto, Y Zhou, NS Keskar, C Xiong
ACL 2022 [arXiv preprint arXiv:2205.09226], 2022
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