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Communications in Computer and Information Science; Health Information Processing. Evaluation Track Papers ,
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Improving LLM-Based Health Information Extraction with In-C..:
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Communications in Computer and Information Science; Machine Translation ,
2
HIT-MI &T Lab's Submission to CCMT 2023 Automatic Post-edit..:
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ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ,
3
Visual-Aware Text-to-Speech*:
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Natural Language Processing and Chinese Computing; Lecture Notes in Computer Science ,
4
Unsupervised Clustering for Negative Sampling to Optimize O..:
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Proceedings of the 31st ACM International Conference on Multimedia ,
5
Learning and Evaluating Human Preferences for Conversationa..:
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2023 IEEE International Conference on Image Processing (ICIP) ,
6
Leveraging Visual Prompts To Guide Language Modeling for Re..:
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Natural Language Processing and Chinese Computing; Lecture Notes in Computer Science ,
7
Towards Making the Most of LLM for Translation Quality Esti..:
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Natural Language Processing and Chinese Computing; Lecture Notes in Computer Science ,
8
An Explicit-Memory Few-Shot Joint Learning Model:
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Lecture Notes in Computer Science; Computer Vision – ECCV 2022 ,
9
Responsive Listening Head Generation: A Benchmark Dataset a..:
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Lecture Notes in Electrical Engineering; Conference Proceedings of 2021 International Joint Conference on Energy, Electrical and Power Engineering ,
10
Research on Torque Ripple Suppression of SRM Based on Fuzzy..:
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Natural Language Processing and Chinese Computing; Lecture Notes in Computer Science ,
11
EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning..:
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Lecture Notes in Computer Science; Artificial Neural Networks and Machine Learning – ICANN 2021 ,
12
T-Bert: A Spam Review Detection Model Combining Group Intel..:
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Proceedings of the 30th ACM International Conference on Information & Knowledge Management ,
13
A Neural Conversation Generation Model via Equivalent Share..:
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2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ,
14
Look-Into-Object: Self-Supervised Structure Modeling for Ob..:
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Natural Language Processing and Chinese Computing; Lecture Notes in Computer Science ,
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