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Neubig, Graham
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1

Large Language Models Enable Few-Shot Clustering:

Viswanathan, Vijay ; Gashteovski, Kiril ; Gashteovski, Kiril...
Transactions of the Association for Computational Linguistics.  12 (2024)  - p. 321-333 , 2024
Link: https://doi.org/10.1162/..
 
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2

Pre-train, Prompt, and Predict: A Systematic Survey of Prom..:

Liu, Pengfei ; Yuan, Weizhe ; Fu, Jinlan...
ACM Computing Surveys.  55 (2023)  9 - p. 1-35 , 2023
Link: https://doi.org/10.1145/..
 
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3

Bridging the Gap: A Survey on Integrating (Human) Feedback ..:

Fernandes, Patrick ; Madaan, Aman ; Liu, Emmy...
Transactions of the Association for Computational Linguistics.  11 (2023)  - p. 1643-1668 , 2023
Link: https://doi.org/10.1162/..
 
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4

DIRE and its Data: Neural Decompiled Variable Renamings wit..:

Dramko, Luke ; Lacomis, Jeremy ; Yin, Pengcheng...
ACM Transactions on Software Engineering and Methodology.  32 (2023)  2 - p. 1-34 , 2023
Link: https://doi.org/10.1145/..
 
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5

In-IDE Code Generation from Natural Language: Promise and C..:

Xu, Frank F. ; Vasilescu, Bogdan ; Neubig, Graham
ACM Transactions on Software Engineering and Methodology.  31 (2022)  2 - p. 1-47 , 2022
Link: https://doi.org/10.1145/..
 
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6

Evaluating Explanations: How Much Do Explanations from the ..:

Pruthi, Danish ; Bansal, Rachit ; Dhingra, Bhuwan...
Transactions of the Association for Computational Linguistics.  10 (2022)  - p. 359-375 , 2022
Link: https://doi.org/10.1162/..
 
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7

In-IDE Code Generation from Natural Language: Promise and C..:

Xu, Frank F. ; Vasilescu, Bogdan ; Neubig, Graham
ACM Transactions on Software Engineering and Methodology (TOSEM).  31 (2022)  2 - p. 1-47 , 2022
Link: https://dl.acm.org/doi/1..
 
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8

AmericasNLI: Machine translation and natural language infer..:

Kann, Katharina ; Ebrahimi, Abteen ; Mager, Manuel...
Frontiers in Artificial Intelligence.  5 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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9

How Can We Know When Language Models Know? On the Calibrati..:

Jiang, Zhengbao ; Araki, Jun ; Ding, Haibo.
Transactions of the Association for Computational Linguistics.  9 (2021)  - p. 962-977 , 2021
Link: https://doi.org/10.1162/..
 
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10

WikiAsp: A Dataset for Multi-domain Aspect-based Summarizat..:

Hayashi, Hiroaki ; Budania, Prashant ; Wang, Peng...
Transactions of the Association for Computational Linguistics.  9 (2021)  - p. 211-225 , 2021
Link: https://doi.org/10.1162/..
 
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11

Lexically Aware Semi-Supervised Learning for OCR Post-Corre..:

Rijhwani, Shruti ; Rosenblum, Daisy ; Anastasopoulos, Antonios.
Transactions of the Association for Computational Linguistics.  9 (2021)  - p. 1285-1302 , 2021
Link: https://doi.org/10.1162/..
 
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12

MasakhaNER: Named Entity Recognition for African Languages:

Adelani, David Ifeoluwa ; Abbott, Jade ; Neubig, Graham...
Transactions of the Association for Computational Linguistics.  9 (2021)  - p. 1116-1131 , 2021
Link: https://doi.org/10.1162/..
 
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13

Improving neural machine translation through phrase-based s..:

Zhang, Jingyi ; Utiyama, Masao ; Sumita, Eiichro..
Machine Translation.  34 (2020)  1 - p. 21-39 , 2020
Link: https://www.jstor.org/st..
 
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14

Multi-Source Neural Machine Translation With Missing Data:

Nishimura, Yuta ; Sudoh, Katsuhito ; Neubig, Graham.
IEEE/ACM Transactions on Audio, Speech, and Language Processing.  28 (2020)  - p. 569-580 , 2020
Link: https://doi.org/10.1109/..
 
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15

Optimizing segmentation granularity for neural machine tran..:

Salesky, Elizabeth ; Runge, Andrew ; Coda, Alex..
Machine Translation.  34 (2020)  1 - p. 41-59 , 2020
Link: https://www.jstor.org/st..
 
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