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Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning ...
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Language-Independent Speaker Anonymization Approach using Self-Supervised Pre-Trained Models ...
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Compilable Neural Code Generation with Compiler Feedback ...
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Wang, Xin; Wang, Yasheng; Wan, Yao; Mi, Fei; Li, Yitong; Zhou, Pingyi; Liu, Jin; Wu, Hao; Jiang, Xin; Liu, Qun. - : arXiv, 2022
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Abstract:
Automatically generating compilable programs with (or without) natural language descriptions has always been a touchstone problem for computational linguistics and automated software engineering. Existing deep-learning approaches model code generation as text generation, either constrained by grammar structures in decoder, or driven by pre-trained language models on large-scale code corpus (e.g., CodeGPT, PLBART, and CodeT5). However, few of them account for compilability of the generated programs. To improve compilability of the generated programs, this paper proposes COMPCODER, a three-stage pipeline utilizing compiler feedback for compilable code generation, including language model fine-tuning, compilability reinforcement, and compilability discrimination. Comprehensive experiments on two code generation tasks demonstrate the effectiveness of our proposed approach, improving the success rate of compilation from 44.18 to 89.18 in code completion on average and from 70.3 to 96.2 in text-to-code generation, ... : Accepted by ACL 2022 ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Programming Languages cs.PL
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URL: https://arxiv.org/abs/2203.05132
https://dx.doi.org/10.48550/arxiv.2203.05132
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Conceptualization and Measurement of Flow in a Chinese Blended English as a Foreign Language Learning Context
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In: Front Psychol (2022)
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The Predicative Power of Learner and Teacher Variables on Flow in a Chinese Blended English as a Foreign Language Learning Context
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In: Front Psychol (2022)
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An Initial Investigation for Detecting Partially Spoofed Audio
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In: Proceedings of Interspeech 2021 ; Interspeech 2021 ; https://hal.archives-ouvertes.fr/hal-03555441 ; Interspeech 2021, Aug 2021, Brno, Czech Republic. pp.4264-4268, ⟨10.21437/Interspeech.2021-738⟩ (2021)
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| 10 |
Privacy and utility of x-vector based speaker anonymization
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In: https://hal.inria.fr/hal-03197376 ; 2021 (2021)
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| 11 |
Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03332224 ; 2021 (2021)
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Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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| 15 |
The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03332224 ; 2021 (2021)
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Benchmarking and challenges in security and privacy for voice biometrics
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In: SPSC 2021, 1st ISCA Symposium on Security and Privacy in Speech Communication ; https://hal.archives-ouvertes.fr/hal-03346196 ; SPSC 2021, 1st ISCA Symposium on Security and Privacy in Speech Communication, ISCA, Nov 2021, Magdeburg, Germany. ⟨10.21437/SPSC.2021-11⟩ ; https://spsc-symposium2021.de/#home (2021)
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| 17 |
Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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| 18 |
Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03335126 ; 2021 (2021)
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| 19 |
The VoicePrivacy 2020 Challenge: Results and findings
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In: https://hal.archives-ouvertes.fr/hal-03332224 ; 2021 (2021)
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Privacy and utility of x-vector based speaker anonymization
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In: https://hal.inria.fr/hal-03197376 ; 2021 (2021)
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