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2020 – today
- 2023
[c47]Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Veselin Stoyanov, Greg Durrett, Ramakanth Pasunuru:
Complementary Explanations for Effective In-Context Learning. ACL (Findings) 2023: 4469-4484- [c46]Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Veselin Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev:
bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. ACL (1) 2023: 8733-8759 - [c45]Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov:
Training Trajectories of Language Models Across Scales. ACL (1) 2023: 13711-13738 - [c44]Peter Hase, Mona T. Diab, Asli Celikyilmaz, Xian Li, Zornitsa Kozareva, Veselin Stoyanov, Mohit Bansal, Srinivasan Iyer:
Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models. EACL 2023: 2706-2723 - [c43]Zeyu Liu, Tim Dettmers, Xi Lin, Veselin Stoyanov, Xian Li:
Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model. EMNLP 2023: 15038-15061 - [c42]Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-Tau Yih, Sida I. Wang, Xi Victoria Lin:
LEVER: Learning to Verify Language-to-Code Generation with Execution. ICML 2023: 26106-26128 - [i36]Ansong Ni, Srini Iyer, Dragomir Radev, Ves Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin:
LEVER: Learning to Verify Language-to-Code Generation with Execution. CoRR abs/2302.08468 (2023) - [i35]Leo Z. Liu, Tim Dettmers, Xi Victoria Lin, Veselin Stoyanov, Xian Li:
Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model. CoRR abs/2305.13999 (2023) - [i34]Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Ves Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev:
bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. CoRR abs/2306.02349 (2023) - 2022
- [j2]Alon Y. Halevy, Cristian Canton-Ferrer, Hao Ma, Umut Ozertem, Patrick Pantel, Marzieh Saeidi, Fabrizio Silvestri, Ves Stoyanov:
Preserving integrity in online social networks. Commun. ACM 65(2): 92-98 (2022) - [c41]Rabeeh Karimi Mahabadi, Luke Zettlemoyer, James Henderson
, Lambert Mathias, Marzieh Saeidi, Veselin Stoyanov, Majid Yazdani:
Prompt-free and Efficient Few-shot Learning with Language Models. ACL (1) 2022: 3638-3652 - [c40]Badr AlKhamissi, Faisal Ladhak, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva, Xian Li, Pascale Fung, Lambert Mathias, Asli Celikyilmaz, Mona T. Diab:
ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection. EMNLP 2022: 2109-2120 - [c39]Mikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Veselin Stoyanov:
On the Role of Bidirectionality in Language Model Pre-Training. EMNLP (Findings) 2022: 3973-3985 - [c38]Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li:
Few-shot Learning with Multilingual Generative Language Models. EMNLP 2022: 9019-9052 - [c37]Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Veselin Stoyanov:
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models. EMNLP 2022: 11351-11361 - [c36]Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giridharan Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeffrey Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Veselin Stoyanov:
Efficient Large Scale Language Modeling with Mixtures of Experts. EMNLP 2022: 11699-11732 - [c35]Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva:
Improving In-Context Few-Shot Learning via Self-Supervised Training. NAACL-HLT 2022: 3558-3573 - [i33]Ping Yu, Mikel Artetxe, Myle Ott, Sam Shleifer, Hongyu Gong, Ves Stoyanov, Xian Li:
Efficient Language Modeling with Sparse all-MLP. CoRR abs/2203.06850 (2022) - [i32]Rabeeh Karimi Mahabadi, Luke Zettlemoyer, James Henderson, Marzieh Saeidi, Lambert Mathias, Veselin Stoyanov, Majid Yazdani:
PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models. CoRR abs/2204.01172 (2022) - [i31]Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva:
Improving In-Context Few-Shot Learning via Self-Supervised Training. CoRR abs/2205.01703 (2022) - [i30]Mikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Ves Stoyanov:
On the Role of Bidirectionality in Language Model Pre-Training. CoRR abs/2205.11726 (2022) - [i29]Badr AlKhamissi, Faisal Ladhak, Srini Iyer, Ves Stoyanov, Zornitsa Kozareva, Xian Li, Pascale Fung, Lambert Mathias, Asli Celikyilmaz, Mona T. Diab:
ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection. CoRR abs/2205.12495 (2022) - [i28]Mengzhou Xia, Mikel Artetxe, Jingfei Du, Danqi Chen, Ves Stoyanov:
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models. CoRR abs/2205.15223 (2022) - [i27]Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Ves Stoyanov, Greg Durrett, Ramakanth Pasunuru:
Complementary Explanations for Effective In-Context Learning. CoRR abs/2211.13892 (2022) - [i26]Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Ves Stoyanov:
Training Trajectories of Language Models Across Scales. CoRR abs/2212.09803 (2022) - [i25]Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, Todor Mihaylov, Daniel Simig, Ping Yu, Kurt Shuster, Tianlu Wang, Qing Liu, Punit Singh Koura, Xian Li, Brian O'Horo, Gabriel Pereyra, Jeff Wang, Christopher Dewan, Asli Celikyilmaz, Luke Zettlemoyer, Ves Stoyanov:
OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization. CoRR abs/2212.12017 (2022) - 2021
- [c34]Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh:
Multi-Task Retrieval for Knowledge-Intensive Tasks. ACL/IJCNLP (1) 2021: 1098-1111 - [c33]Ramakanth Pasunuru, Veselin Stoyanov, Mohit Bansal:
Continual Few-Shot Learning for Text Classification. EMNLP (1) 2021: 5688-5702 - [c32]Beliz Gunel, Jingfei Du, Alexis Conneau, Veselin Stoyanov:
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning. ICLR 2021 - [c31]Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Veselin Stoyanov, Alexis Conneau:
Self-training Improves Pre-training for Natural Language Understanding. NAACL-HLT 2021: 5408-5418 - [i24]Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh:
Multi-task Retrieval for Knowledge-Intensive Tasks. CoRR abs/2101.00117 (2021) - [i23]Peter Hase, Mona T. Diab, Asli Celikyilmaz, Xian Li, Zornitsa Kozareva, Veselin Stoyanov, Mohit Bansal, Srinivasan Iyer:
Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs. CoRR abs/2111.13654 (2021) - [i22]Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li:
Few-shot Learning with Multilingual Language Models. CoRR abs/2112.10668 (2021) - [i21]Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giri Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Ves Stoyanov:
Efficient Large Scale Language Modeling with Mixtures of Experts. CoRR abs/2112.10684 (2021) - 2020
- [c30]Alexis Conneau, Shijie Wu, Haoran Li, Luke Zettlemoyer, Veselin Stoyanov:
Emerging Cross-lingual Structure in Pretrained Language Models. ACL 2020: 6022-6034 - [c29]Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, Luke Zettlemoyer:
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. ACL 2020: 7871-7880 - [c28]Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov:
Unsupervised Cross-lingual Representation Learning at Scale. ACL 2020: 8440-8451 - [c27]Patrick S. H. Lewis, Myle Ott, Jingfei Du, Veselin Stoyanov:
Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art. ClinicalNLP@EMNLP 2020: 146-157 - [c26]Jingfei Du, Myle Ott, Haoran Li, Xing Zhou, Veselin Stoyanov:
General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference. EMNLP (Findings) 2020: 3018-3030 - [c25]Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Michael Haeger, Haoran Li, Yashar Mehdad, Veselin Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta:
Conversational Semantic Parsing. EMNLP (1) 2020: 5026-5035 - [c24]Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov:
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model. ICLR 2020 - [i20]Jingfei Du, Myle Ott, Haoran Li, Xing Zhou, Veselin Stoyanov:
General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference. CoRR abs/2004.14287 (2020) - [i19]Alon Y. Halevy, Cristian Canton-Ferrer, Hao Ma, Umut Ozertem, Patrick Pantel, Marzieh Saeidi, Fabrizio Silvestri, Ves Stoyanov:
Preserving Integrity in Online Social Networks. CoRR abs/2009.10311 (2020) - [i18]Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Mike Haeger, Haoran Li, Yashar Mehdad, Ves Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta:
Conversational Semantic Parsing. CoRR abs/2009.13655 (2020) - [i17]Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Ves Stoyanov, Alexis Conneau:
Self-training Improves Pre-training for Natural Language Understanding. CoRR abs/2010.02194 (2020) - [i16]Beliz Gunel, Jingfei Du, Alexis Conneau, Ves Stoyanov:
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning. CoRR abs/2011.01403 (2020)
2010 – 2019
- 2019
- [c23]Angli Liu, Jingfei Du, Veselin Stoyanov:
Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition. NAACL-HLT (1) 2019: 1142-1150 - [i15]Angli Liu, Jingfei Du, Veselin Stoyanov:
Knowledge-Augmented Language Model and its Application to Unsupervised Named-Entity Recognition. CoRR abs/1904.04458 (2019) - [i14]Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov:
RoBERTa: A Robustly Optimized BERT Pretraining Approach. CoRR abs/1907.11692 (2019) - [i13]Guokun Lai, Barlas Oguz, Yiming Yang, Veselin Stoyanov:
Bridging the domain gap in cross-lingual document classification. CoRR abs/1909.07009 (2019) - [i12]Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, Luke Zettlemoyer:
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. CoRR abs/1910.13461 (2019) - [i11]Shijie Wu, Alexis Conneau, Haoran Li, Luke Zettlemoyer, Veselin Stoyanov:
Emerging Cross-lingual Structure in Pretrained Language Models. CoRR abs/1911.01464 (2019) - [i10]Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov:
Unsupervised Cross-lingual Representation Learning at Scale. CoRR abs/1911.02116 (2019) - [i9]Preslav Nakov, Alan Ritter, Sara Rosenthal, Fabrizio Sebastiani, Veselin Stoyanov:
SemEval-2016 Task 4: Sentiment Analysis in Twitter. CoRR abs/1912.01973 (2019) - [i8]Sara Rosenthal, Saif M. Mohammad, Preslav Nakov, Alan Ritter, Svetlana Kiritchenko, Veselin Stoyanov:
SemEval-2015 Task 10: Sentiment Analysis in Twitter. CoRR abs/1912.02387 (2019) - [i7]Sara Rosenthal, Preslav Nakov, Alan Ritter, Veselin Stoyanov:
SemEval-2014 Task 9: Sentiment Analysis in Twitter. CoRR abs/1912.02990 (2019) - [i6]Preslav Nakov, Zornitsa Kozareva, Alan Ritter, Sara Rosenthal, Veselin Stoyanov, Theresa Wilson:
SemEval-2013 Task 2: Sentiment Analysis in Twitter. CoRR abs/1912.06806 (2019) - [i5]Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov:
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model. CoRR abs/1912.09637 (2019) - 2018
- [c22]Ying Lin, Shengqi Yang, Veselin Stoyanov, Heng Ji:
A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling. ACL (1) 2018: 799-809 - [c21]Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel R. Bowman, Holger Schwenk, Veselin Stoyanov:
XNLI: Evaluating Cross-lingual Sentence Representations. EMNLP 2018: 2475-2485 - [c20]Felix Stahlberg, James Cross, Veselin Stoyanov:
Simple Fusion: Return of the Language Model. WMT 2018: 204-211 - [i4]Felix Stahlberg, James Cross, Veselin Stoyanov:
Simple Fusion: Return of the Language Model. CoRR abs/1809.00125 (2018) - [i3]Alexis Conneau, Guillaume Lample, Ruty Rinott, Adina Williams, Samuel R. Bowman, Holger Schwenk, Veselin Stoyanov:
XNLI: Evaluating Cross-lingual Sentence Representations. CoRR abs/1809.05053 (2018) - 2016
- [j1]Preslav Nakov, Sara Rosenthal, Svetlana Kiritchenko, Saif M. Mohammad, Zornitsa Kozareva, Alan Ritter, Veselin Stoyanov, Xiaodan Zhu:
Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts. Lang. Resour. Evaluation 50(1): 35-65 (2016) - [c19]Preslav Nakov, Alan Ritter, Sara Rosenthal, Fabrizio Sebastiani, Veselin Stoyanov:
SemEval-2016 Task 4: Sentiment Analysis in Twitter. SemEval@NAACL-HLT 2016: 1-18 - 2015
- [c18]Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, Saif M. Mohammad, Alan Ritter, Veselin Stoyanov:
SemEval-2015 Task 10: Sentiment Analysis in Twitter. SemEval@NAACL-HLT 2015: 451-463 - 2014
- [c17]Sara Rosenthal, Alan Ritter, Preslav Nakov, Veselin Stoyanov:
SemEval-2014 Task 9: Sentiment Analysis in Twitter. SemEval@COLING 2014: 73-80 - 2013
- [c16]Preslav Nakov, Sara Rosenthal, Zornitsa Kozareva, Veselin Stoyanov, Alan Ritter, Theresa Wilson:
SemEval-2013 Task 2: Sentiment Analysis in Twitter. SemEval@NAACL-HLT 2013: 312-320 - 2012
- [c15]Veselin Stoyanov, Jason Eisner:
Easy-first Coreference Resolution. COLING 2012: 2519-2534 - [c14]Veselin Stoyanov, James Mayfield, Tan Xu, Douglas W. Oard, Dawn J. Lawrie, Tim Oates, Tim Finin:
A Context-Aware Approach to Entity Linking. AKBC-WEKEX@NAACL-HLT 2012: 62-67 - [c13]Veselin Stoyanov, Jason Eisner:
Minimum-Risk Training of Approximate CRF-Based NLP Systems. HLT-NAACL 2012: 120-130 - [i2]Paul McNamee, Veselin Stoyanov, James Mayfield, Tim Finin, Tim Oates, Tan Xu, Douglas W. Oard, Dawn J. Lawrie:
HLTCOE Participation at TAC 2012: Entity Linking and Cold Start Knowledge Base Construction. TAC 2012 - 2011
- [c12]Veselin Stoyanov, Uday Babbar, Pracheer Gupta, Claire Cardie:
Reconciling OntoNotes: Unrestricted Coreference Resolution in OntoNotes with Reconcile. CoNLL Shared Task 2011: 122-126 - [c11]Veselin Stoyanov, Claire Cardie:
Automatically Creating General-Purpose Opinion Summaries from Text. RANLP 2011: 202-209 - [c10]Veselin Stoyanov, Alexander Ropson, Jason Eisner:
Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure. AISTATS 2011: 725-733 - [i1]Paul McNamee, James Mayfield, Veselin Stoyanov, Douglas W. Oard, Tan Xu, Wu Ke, David S. Doermann:
Cross-Language Entity Linking in Maryland during a Hurricane. TAC 2011 - 2010
- [c9]Veselin Stoyanov, Claire Cardie, Nathan Gilbert, Ellen Riloff, David Buttler, David Hysom:
Coreference Resolution with Reconcile. ACL (2) 2010: 156-161
2000 – 2009
- 2009
- [b1]Veselin Stoyanov:
Opinion Summarization: Automatically Creating Useful Representations of the Opinions Expressed in Text. Cornell University, USA, 2009 - [c8]Veselin Stoyanov, Nathan Gilbert, Claire Cardie, Ellen Riloff:
Conundrums in Noun Phrase Coreference Resolution: Making Sense of the State-of-the-Art. ACL/IJCNLP 2009: 656-664 - 2008
- [c7]Veselin Stoyanov, Claire Cardie:
Topic Identification for Fine-Grained Opinion Analysis. COLING 2008: 817-824 - [c6]Veselin Stoyanov, Claire Cardie:
Annotating Topics of Opinions. LREC 2008 - 2007
- [c5]Swapna Somasundaran, Theresa Wilson, Janyce Wiebe, Veselin Stoyanov:
QA with Attitude: Exploiting Opinion Type Analysis for Improving Question Answering in On-line Discussions and the News. ICWSM 2007 - [c4]Eric Breck, Yejin Choi, Veselin Stoyanov, Claire Cardie:
Cornell System Description for the NTCIR-6 Opinion Task. NTCIR 2007 - 2006
- [c3]Veselin Stoyanov, Claire Cardie:
Partially Supervised Coreference Resolution for Opinion Summarization through Structured Rule Learning. EMNLP 2006: 336-344 - [p1]Veselin Stoyanov, Claire Cardie, Diane J. Litman, Janyce Wiebe:
Evaluating an Opinion Annotation Scheme Using a New Multi-Perspective Question and Answer Corpus. Computing Attitude and Affect in Text 2006: 77-91 - 2005
- [c2]Veselin Stoyanov, Claire Cardie, Janyce Wiebe:
Multi-Perspective Question Answering Using the OpQA Corpus. HLT/EMNLP 2005: 923-930 - 2001
- [c1]Tom Way, Ben Breech, Wei Du, Veselin Stoyanov, Lori L. Pollock:
Using Path-spectra-based Cloning in Region-based Optimization for Instruction-Level Parallelism. PDCS 2001: 83-90
Coauthor Index
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