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2020 – today
- 2022
[j39]Danish Pruthi, Rachit Bansal, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen:
Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students? Trans. Assoc. Comput. Linguistics 10: 359-375 (2022)- [j38]Frank F. Xu, Bogdan Vasilescu, Graham Neubig:
In-IDE Code Generation from Natural Language: Promise and Challenges. ACM Trans. Softw. Eng. Methodol. 31(2): 29:1-29:47 (2022) - [c326]Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig:
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations. AAAI 2022: 5277-5285 - [c325]Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu:
DataLab: A Platform for Data Analysis and Intervention. ACL (demo) 2022: 182-195 - [c324]Xinyi Wang, Sebastian Ruder, Graham Neubig:
Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation. ACL (1) 2022: 863-877 - [c323]Pengcheng Yin, John Wieting, Avirup Sil, Graham Neubig:
On The Ingredients of an Effective Zero-shot Semantic Parser. ACL (1) 2022: 1455-1474 - [c322]Junjie Hu, Hiroaki Hayashi, Kyunghyun Cho, Graham Neubig:
DEEP: DEnoising Entity Pre-training for Neural Machine Translation. ACL (1) 2022: 1753-1766 - [c321]Ting-Rui Chiang, Yi-Pei Chen, Yi-Ting Yeh, Graham Neubig:
Breaking Down Multilingual Machine Translation. ACL (Findings) 2022: 2766-2780 - [c320]Yixin Liu, Pengfei Liu, Dragomir R. Radev, Graham Neubig:
BRIO: Bringing Order to Abstractive Summarization. ACL (1) 2022: 2890-2903 - [c319]Shuyan Zhou, Li Zhang, Yue Yang, Qing Lyu, Pengcheng Yin, Chris Callison-Burch, Graham Neubig:
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data. ACL (1) 2022: 2998-3012 - [c318]Damián E. Blasi, Antonios Anastasopoulos, Graham Neubig:
Systematic Inequalities in Language Technology Performance across the World's Languages. ACL (1) 2022: 5486-5505 - [c317]Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, Vishrav Chaudhary, Luis Chiruzzo, Angela Fan, John Ortega, Ricardo Ramos, Annette Rios, Iván Vladimir Meza Ruíz, Gustavo Giménez Lugo, Elisabeth Mager, Graham Neubig, Alexis Palmer, Rolando A. Coto Solano, Ngoc Thang Vu, Katharina Kann:
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages. ACL (1) 2022: 6279-6299 - [c316]Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig:
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. ICML 2022: 468-485 - [c315]Melanie Sclar, Graham Neubig, Yonatan Bisk:
Symmetric Machine Theory of Mind. ICML 2022: 19450-19466 - [c314]Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Graham Neubig, Bogdan Vasilescu, Claire Le Goues:
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning. ICSE 2022: 2327-2339 - [c313]Brian Yan, Patrick Fernandes, Siddharth Dalmia, Jiatong Shi, Yifan Peng
, Dan Berrebbi, Xinyi Wang, Graham Neubig, Shinji Watanabe:
CMU's IWSLT 2022 Dialect Speech Translation System. IWSLT@ACL 2022: 298-307 - [c312]Zhengbao Jiang, Yi Mao, Pengcheng He, Graham Neubig, Weizhu Chen:
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering. NAACL-HLT 2022: 932-942 - [c311]Patrick Fernandes, António Farinhas, Ricardo Rei, José Guilherme Camargo de Souza, Perez Ogayo, Graham Neubig, André F. T. Martins:
Quality-Aware Decoding for Neural Machine Translation. NAACL-HLT 2022: 1396-1412 - [c310]Emmy Liu, Chenxuan Cui, Kenneth Zheng, Graham Neubig:
Testing the Ability of Language Models to Interpret Figurative Language. NAACL-HLT 2022: 4437-4452 - [c309]Frank F. Xu, Uri Alon, Graham Neubig, Vincent Josua Hellendoorn:
A systematic evaluation of large language models of code. MAPS@PLDI 2022: 1-10 - [i212]Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig:
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. CoRR abs/2201.12431 (2022) - [i211]Kayo Yin, Graham Neubig:
Interpreting Language Models with Contrastive Explanations. CoRR abs/2202.10419 (2022) - [i210]Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu:
DataLab: A Platform for Data Analysis and Intervention. CoRR abs/2202.12875 (2022) - [i209]Frank F. Xu, Uri Alon, Graham Neubig, Vincent J. Hellendoorn:
A Systematic Evaluation of Large Language Models of Code. CoRR abs/2202.13169 (2022) - [i208]Shuyan Zhou, Li Zhang, Yue Yang, Qing Lyu, Pengcheng Yin, Chris Callison-Burch, Graham Neubig:
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data. CoRR abs/2203.07264 (2022) - [i207]Zhiruo Wang, Grace Cuenca, Shuyan Zhou, Frank F. Xu, Graham Neubig:
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages. CoRR abs/2203.08388 (2022) - [i206]Xinyi Wang, Sebastian Ruder, Graham Neubig:
Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation. CoRR abs/2203.09435 (2022) - [i205]Aditi Chaudhary, Zaid Sheikh, David R. Mortensen, Antonios Anastasopoulos, Graham Neubig:
AUTOLEX: An Automatic Framework for Linguistic Exploration. CoRR abs/2203.13901 (2022) - [i204]Yixin Liu, Pengfei Liu, Dragomir R. Radev, Graham Neubig:
BRIO: Bringing Order to Abstractive Summarization. CoRR abs/2203.16804 (2022) - [i203]Paul Michel, Tatsunori Hashimoto, Graham Neubig:
Distributionally Robust Models with Parametric Likelihood Ratios. CoRR abs/2204.06340 (2022) - [i202]Patrick Fernandes, Marcos V. Treviso, Danish Pruthi, André F. T. Martins, Graham Neubig:
Learning to Scaffold: Optimizing Model Explanations for Teaching. CoRR abs/2204.10810 (2022) - [i201]Emmy Liu, Chen Cui, Kenneth Zheng, Graham Neubig:
Testing the Ability of Language Models to Interpret Figurative Language. CoRR abs/2204.12632 (2022) - [i200]Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig:
Prompt Consistency for Zero-Shot Task Generalization. CoRR abs/2205.00049 (2022) - [i199]Patrick Fernandes, António Farinhas, Ricardo Rei, José G. C. de Souza, Perez Ogayo, Graham Neubig, André F. T. Martins:
Quality-Aware Decoding for Neural Machine Translation. CoRR abs/2205.00978 (2022) - [i198]Zhiruo Wang, Zhengbao Jiang, Eric Nyberg, Graham Neubig:
Table Retrieval May Not Necessitate Table-specific Model Design. CoRR abs/2205.09843 (2022) - [i197]Machel Reid, Graham Neubig:
Learning to Model Editing Processes. CoRR abs/2205.12374 (2022) - [i196]Lucio M. Dery, Paul Michel, Mikhail Khodak, Graham Neubig, Ameet Talwalkar:
AANG: Automating Auxiliary Learning. CoRR abs/2205.14082 (2022) - [i195]Aditi Chaudhary, Arun Sampath, Ashwin Sheshadri, Antonios Anastasopoulos, Graham Neubig:
Teacher Perception of Automatically Extracted Grammar Concepts for L2 Language Learning. CoRR abs/2206.05154 (2022) - [i194]Perez Ogayo, Graham Neubig, Alan W. Black:
Building African Voices. CoRR abs/2207.00688 (2022) - [i193]Zhengbao Jiang, Yi Mao, Pengcheng He, Graham Neubig, Weizhu Chen:
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering. CoRR abs/2207.03637 (2022) - [i192]Shuyan Zhou, Uri Alon, Frank F. Xu, Zhengbao Jiang, Graham Neubig:
DocCoder: Generating Code by Retrieving and Reading Docs. CoRR abs/2207.05987 (2022) - 2021
- [j37]Aditi Chaudhary, Zaid Sheikh, Antonis Anastasopoulos, Graham Neubig:
Reducing Confusion in Active Learning for Part-Of-Speech Tagging. Trans. Assoc. Comput. Linguistics 9: 1-16 (2021) - [j36]Hiroaki Hayashi, Prashant Budania, Peng Wang, Chris Ackerson, Raj Neervannan, Graham Neubig:
WikiAsp: A Dataset for Multi-domain Aspect-based Summarization. Trans. Assoc. Comput. Linguistics 9: 211-225 (2021) - [c308]Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig:
ExplainaBoard: An Explainable Leaderboard for NLP. ACL (demo) 2021: 280-289 - [c307]Vijay Viswanathan, Graham Neubig, Pengfei Liu:
CitationIE: Leveraging the Citation Graph for Scientific Information Extraction. ACL/IJCNLP (1) 2021: 719-731 - [c306]Kayo Yin, Patrick Fernandes, Danish Pruthi, Aditi Chaudhary, André F. T. Martins, Graham Neubig:
Do Context-Aware Translation Models Pay the Right Attention? ACL/IJCNLP (1) 2021: 788-801 - [c305]Chunting Zhou, Graham Neubig, Jiatao Gu, Mona Diab, Francisco Guzmán, Luke Zettlemoyer, Marjan Ghazvininejad:
Detecting Hallucinated Content in Conditional Neural Sequence Generation. ACL/IJCNLP (Findings) 2021: 1393-1404 - [c304]Patrick Fernandes, Kayo Yin, Graham Neubig, André F. T. Martins:
Measuring and Increasing Context Usage in Context-Aware Machine Translation. ACL/IJCNLP (1) 2021: 6467-6478 - [c303]Ruisi Su, Shruti Rijhwani, Hao Zhu, Junxian He, Xinyu Wang, Yonatan Bisk, Graham Neubig:
Dependency Induction Through the Lens of Visual Perception. CoNLL 2021: 17-26 - [c302]Zi-Yi Dou, Graham Neubig:
Word Alignment by Fine-tuning Embeddings on Parallel Corpora. EACL 2021: 2112-2128 - [c301]Zihuiwen Ye, Pengfei Liu, Jinlan Fu, Graham Neubig:
Towards More Fine-grained and Reliable NLP Performance Prediction. EACL 2021: 3703-3714 - [c300]Xinyi Wang, Yulia Tsvetkov, Sebastian Ruder, Graham Neubig:
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties. EMNLP (Findings) 2021: 730-737 - [c299]Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo:
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages. EMNLP (1) 2021: 1306-1320 - [c298]Chunting Zhou, Daniel Levy, Xian Li, Marjan Ghazvininejad, Graham Neubig:
Distributionally Robust Multilingual Machine Translation. EMNLP (1) 2021: 5664-5674 - [c297]Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick:
Efficient Nearest Neighbor Language Models. EMNLP (1) 2021: 5703-5714 - [c296]Aditi Chaudhary, Kayo Yin, Antonios Anastasopoulos, Graham Neubig:
When is Wall a Pared and when a Muro?: Extracting Rules Governing Lexical Selection. EMNLP (1) 2021: 6911-6929 - [c295]Adithya Pratapa, Antonios Anastasopoulos, Shruti Rijhwani, Aditi Chaudhary, David R. Mortensen, Graham Neubig, Yulia Tsvetkov:
Evaluating the Morphosyntactic Well-formedness of Generated Texts. EMNLP (1) 2021: 7131-7150 - [c294]Sebastian Ruder, Noah Constant, Jan Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Dan Garrette, Graham Neubig, Melvin Johnson:
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. EMNLP (1) 2021: 10215-10245 - [c293]Paul Michel, Tatsunori Hashimoto, Graham Neubig:
Modeling the Second Player in Distributionally Robust Optimization. ICLR 2021 - [c292]Hieu Pham, Xinyi Wang, Yiming Yang, Graham Neubig:
Meta Back-Translation. ICLR 2021 - [c291]Ziyu Yao, Frank F. Xu, Pengcheng Yin, Huan Sun, Graham Neubig:
Learning Structural Edits via Incremental Tree Transformations. ICLR 2021 - [c290]Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig:
Examining and Combating Spurious Features under Distribution Shift. ICML 2021: 12857-12867 - [c289]Hao Zhu, Graham Neubig, Yonatan Bisk:
Few-shot Language Coordination by Modeling Theory of Mind. ICML 2021: 12901-12911 - [c288]Kathleen Siminyu, Xinjian Li, Antonios Anastasopoulos, David R. Mortensen, Michael R. Marlo, Graham Neubig:
Phoneme Recognition Through Fine Tuning of Phonetic Representations: A Case Study on Luhya Language Varieties. Interspeech 2021: 271-275 - [c287]Amit Moryossef, Kayo Yin, Graham Neubig, Yoav Goldberg:
Data Augmentation for Sign Language Gloss Translation. AT4SSL@MTSummit 2021: 1-11 - [c286]Xinyi Wang, Sebastian Ruder, Graham Neubig:
Multi-view Subword Regularization. NAACL-HLT 2021: 473-482 - [c285]Mengzhou Xia, Guoqing Zheng, Subhabrata Mukherjee, Milad Shokouhi, Graham Neubig, Ahmed Hassan Awadallah:
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning. NAACL-HLT 2021: 499-511 - [c284]Poyao Huang, Mandela Patrick, Junjie Hu, Graham Neubig, Florian Metze, Alex Hauptmann:
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models. NAACL-HLT 2021: 2443-2459 - [c283]Pengcheng Yin, Hao Fang, Graham Neubig, Adam Pauls, Emmanouil Antonios Platanios, Yu Su, Sam Thomson, Jacob Andreas:
Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention. NAACL-HLT 2021: 2810-2823 - [c282]Junjie Hu, Melvin Johnson, Orhan Firat, Aditya Siddhant, Graham Neubig:
Explicit Alignment Objectives for Multilingual Bidirectional Encoders. NAACL-HLT 2021: 3633-3643 - [c281]Yixin Liu, Graham Neubig, John Wieting:
On Learning Text Style Transfer with Direct Rewards. NAACL-HLT 2021: 4262-4273 - [c280]Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig:
GSum: A General Framework for Guided Neural Abstractive Summarization. NAACL-HLT 2021: 4830-4842 - [c279]Weizhe Yuan, Graham Neubig, Pengfei Liu:
BARTScore: Evaluating Generated Text as Text Generation. NeurIPS 2021: 27263-27277 - [c278]Junjie Hu, Graham Neubig:
Phrase-level Active Learning for Neural Machine Translation. WMT@EMNLP 2021: 1087-1099 - [i191]Zi-Yi Dou, Graham Neubig:
Word Alignment by Fine-tuning Embeddings on Parallel Corpora. CoRR abs/2101.08231 (2021) - [i190]Frank F. Xu, Bogdan Vasilescu, Graham Neubig:
In-IDE Code Generation from Natural Language: Promise and Challenges. CoRR abs/2101.11149 (2021) - [i189]Ziyu Yao, Frank F. Xu, Pengcheng Yin, Huan Sun, Graham Neubig:
Learning Structural Edits via Incremental Tree Transformations. CoRR abs/2101.12087 (2021) - [i188]Weizhe Yuan, Pengfei Liu, Graham Neubig:
Can We Automate Scientific Reviewing? CoRR abs/2102.00176 (2021) - [i187]Zihuiwen Ye, Pengfei Liu, Jinlan Fu, Graham Neubig:
Towards More Fine-grained and Reliable NLP Performance Prediction. CoRR abs/2102.05486 (2021) - [i186]Hieu Pham, Xinyi Wang, Yiming Yang, Graham Neubig:
Meta Back-translation. CoRR abs/2102.07847 (2021) - [i185]Xinyi Wang, Sebastian Ruder, Graham Neubig:
Multi-view Subword Regularization. CoRR abs/2103.08490 (2021) - [i184]Po-Yao Huang, Mandela Patrick, Junjie Hu, Graham Neubig, Florian Metze, Alexander G. Hauptmann:
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models. CoRR abs/2103.08849 (2021) - [i183]Paul Michel, Tatsunori Hashimoto, Graham Neubig:
Modeling the Second Player in Distributionally Robust Optimization. CoRR abs/2103.10282 (2021) - [i182]David Ifeoluwa Adelani, Jade Z. Abbott, Graham Neubig, Daniel D'souza, Julia Kreutzer, Constantine Lignos, Chester Palen-Michel, Happy Buzaaba, Shruti Rijhwani, Sebastian Ruder, Stephen Mayhew, Israel Abebe Azime, Shamsuddeen Hassan Muhammad, Chris Chinenye Emezue, Joyce Nakatumba-Nabende, Perez Ogayo, Aremu Anuoluwapo, Catherine Gitau, Derguene Mbaye, Jesujoba O. Alabi, Seid Muhie Yimam, Tajuddeen Gwadabe, Ignatius Ezeani, Rubungo Andre Niyongabo, Jonathan Mukiibi, Verrah Otiende, Iroro Orife, Davis David, Samba Ngom, Tosin P. Adewumi, Paul Rayson, Mofetoluwa Adeyemi, Gerald Muriuki, Emmanuel Anebi, Chiamaka Chukwuneke, Nkiruka Odu, Eric Peter Wairagala, Samuel Oyerinde, Clemencia Siro, Tobius Saul Bateesa, Temilola Oloyede, Yvonne Wambui, Victor Akinode, Deborah Nabagereka, Maurice Katusiime, Ayodele Awokoya, Mouhamadane Mboup, Dibora Gebreyohannes, Henok Tilaye, Kelechi Nwaike, Degaga Wolde, Abdoulaye Faye, Blessing Sibanda, Orevaoghene Ahia, Bonaventure F. P. Dossou, Kelechi Ogueji, Thierno Ibrahima Diop, Abdoulaye Diallo, Adewale Akinfaderin, Tendai Marengereke, Salomey Osei:
MasakhaNER: Named Entity Recognition for African Languages. CoRR abs/2103.11811 (2021) - [i181]Adithya Pratapa, Antonios Anastasopoulos, Shruti Rijhwani, Aditi Chaudhary, David R. Mortensen, Graham Neubig, Yulia Tsvetkov:
Evaluating the Morphosyntactic Well-formedness of Generated Texts. CoRR abs/2103.16590 (2021) - [i180]Kathleen Siminyu, Xinjian Li, Antonios Anastasopoulos, David Mortensen, Michael R. Marlo, Graham Neubig:
Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties. CoRR abs/2104.01624 (2021) - [i179]Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig:
EXPLAINABOARD: An Explainable Leaderboard for NLP. CoRR abs/2104.06387 (2021) - [i178]Sebastian Ruder, Noah Constant, Jan Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Graham Neubig, Melvin Johnson:
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. CoRR abs/2104.07412 (2021) - [i177]Mengzhou Xia, Guoqing Zheng, Subhabrata Mukherjee, Milad Shokouhi, Graham Neubig, Ahmed Hassan Awadallah:
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning. CoRR abs/2104.07908 (2021) - [i176]Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, Vishrav Chaudhary, Luis Chiruzzo, Angela Fan, John Ortega, Ricardo Ramos, Annette Rios, Ivan Vladimir, Gustavo A. Giménez-Lugo, Elisabeth Mager, Graham Neubig, Alexis Palmer, Rolando A. Coto Solano, Ngoc Thang Vu, Katharina Kann:
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages. CoRR abs/2104.08726 (2021) - [i175]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Paraphrastic Representations at Scale. CoRR abs/2104.15114 (2021) - [i174]Patrick Fernandes, Kayo Yin, Graham Neubig, André F. T. Martins:
Measuring and Increasing Context Usage in Context-Aware Machine Translation. CoRR abs/2105.03482 (2021) - [i173]Kayo Yin, Patrick Fernandes, Danish Pruthi, Aditi Chaudhary, André F. T. Martins, Graham Neubig:
Do Context-Aware Translation Models Pay the Right Attention? CoRR abs/2105.06977 (2021) - [i172]Amit Moryossef, Kayo Yin, Graham Neubig, Yoav Goldberg:
Data Augmentation for Sign Language Gloss Translation. CoRR abs/2105.07476 (2021) - [i171]Vijay Viswanathan, Graham Neubig, Pengfei Liu:
CitationIE: Leveraging the Citation Graph for Scientific Information Extraction. CoRR abs/2106.01560 (2021) - [i170]Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig:
Examining and Combating Spurious Features under Distribution Shift. CoRR abs/2106.07171 (2021) - [i169]Junjie Hu, Graham Neubig:
Phrase-level Active Learning for Neural Machine Translation. CoRR abs/2106.11375 (2021) - [i168]Weizhe Yuan, Graham Neubig, Pengfei Liu:
BARTScore: Evaluating Generated Text as Text Generation. CoRR abs/2106.11520 (2021) - [i167]Hao Zhu, Graham Neubig, Yonatan Bisk:
Few-shot Language Coordination by Modeling Theory of Mind. CoRR abs/2107.05697 (2021) - [i166]Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig:
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing. CoRR abs/2107.13586 (2021) - [i165]Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Claire Le Goues, Graham Neubig, Bogdan Vasilescu:
Augmenting Decompiler Output with Learned Variable Names and Types. CoRR abs/2108.06363 (2021) - [i164]Chunting Zhou, Daniel Levy, Xian Li, Marjan Ghazvininejad, Graham Neubig:
Distributionally Robust Multilingual Machine Translation. CoRR abs/2109.04020 (2021) - [i163]Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick:
Efficient Nearest Neighbor Language Models. CoRR abs/2109.04212 (2021) - [i162]Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo:
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages. CoRR abs/2109.04715 (2021) - [i161]Xinyi Wang, Yulia Tsvetkov, Sebastian Ruder, Graham Neubig:
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties. CoRR abs/2109.04877 (2021) - [i160]Aditi Chaudhary, Kayo Yin, Antonios Anastasopoulos, Graham Neubig:
When is Wall a Pared and when a Muro? - Extracting Rules Governing Lexical Selection. CoRR abs/2109.06014 (2021) - [i159]Lucio M. Dery, Paul Michel, Ameet Talwalkar, Graham Neubig:
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative. CoRR abs/2109.07437 (2021) - [i158]Kayo Yin, Patrick Fernandes, André F. T. Martins, Graham Neubig:
When Does Translation Require Context? A Data-driven, Multilingual Exploration. CoRR abs/2109.07446 (2021) - [i157]Shuyan Zhou, Pengcheng Yin, Graham Neubig:
Hierarchical Control of Situated Agents through Natural Language. CoRR abs/2109.08214 (2021) - [i156]Ruisi Su, Shruti Rijhwani, Hao Zhu, Junxian He, Xinyu Wang, Yonatan Bisk, Graham Neubig:
Dependency Induction Through the Lens of Visual Perception. CoRR abs/2109.09790 (2021) - [i155]Alex Shypula, Pengcheng Yin, Jeremy Lacomis, Claire Le Goues, Edward J. Schwartz, Graham Neubig:
Learning to Superoptimize Real-world Programs. CoRR abs/2109.13498 (2021) - [i154]Frank F. Xu, Junxian He, Graham Neubig, Vincent J. Hellendoorn:
Capturing Structural Locality in Non-parametric Language Models. CoRR abs/2110.02870 (2021) - [i153]Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig:
Towards a Unified View of Parameter-Efficient Transfer Learning. CoRR abs/2110.04366 (2021) - [i152]Damián E. Blasi, Antonios Anastasopoulos, Graham Neubig:
Systematic Inequalities in Language Technology Performance across the World's Languages. CoRR abs/2110.06733 (2021) - [i151]Ting-Rui Chiang, Yi-Pei Chen, Yi-Ting Yeh, Graham Neubig:
Breaking Down Multilingual Machine Translation. CoRR abs/2110.08130 (2021) - [i150]Pengcheng Yin, John Wieting, Avirup Sil, Graham Neubig:
On The Ingredients of an Effective Zero-shot Semantic Parser. CoRR abs/2110.08381 (2021) - [i149]Shruti Rijhwani, Daisy Rosenblum, Antonios Anastasopoulos, Graham Neubig:
Lexically Aware Semi-Supervised Learning for OCR Post-Correction. CoRR abs/2111.02622 (2021) - [i148]Junjie Hu, Hiroaki Hayashi, Kyunghyun Cho, Graham Neubig:
DEEP: DEnoising Entity Pre-training for Neural Machine Translation. CoRR abs/2111.07393 (2021) - [i147]Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Graham Neubig, Bogdan Vasilescu, Claire Le Goues:
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning. CoRR abs/2112.02650 (2021) - [i146]Siddhant Arora, Danish Pruthi,