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Publication search results
found 218 matches
- 2024
- Yaodong Cui, Shucheng Huang, Jiaming Zhong, Zhenan Liu, Yutong Wang, Chen Sun, Bai Li, Xiao Wang, Amir Khajepour:
DriveLLM: Charting the Path Toward Full Autonomous Driving With Large Language Models. IEEE Trans. Intell. Veh. 9(1): 1450-1464 (2024) - W. Ronny Huang, Cyril Allauzen, Tongzhou Chen, Kilol Gupta, Ke Hu, James Qin, Yu Zhang, Yongqiang Wang, Shuo-Yiin Chang, Tara N. Sainath:
Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study. CoRR abs/2401.12789 (2024) - 2023
- Xuandong Zhao, Siqi Ouyang, Zhiguo Yu, Ming Wu, Lei Li:
Pre-trained Language Models Can be Fully Zero-Shot Learners. ACL (1) 2023: 15590-15606 - Andrea Brunello, Emanuela Colombi, Alessandro Locaputo, Stefano Magnani, Nicola Saccomanno, Giuseppe Serra:
Usage of Language Model for the Filling of Lacunae in Ancient Latin Inscriptions: A Case Study (full paper). IAI4CH@AI*IA 2023: 113-125 - Ramon Pires, Hugo Queiroz Abonizio, Thales Sales Almeida, Rodrigo Frassetto Nogueira:
[inline-graphic not available: see fulltext] Sabiá: Portuguese Large Language Models. BRACIS (3) 2023: 226-240 - Ting-Rui Chiang, Dani Yogatama:
The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining. EMNLP 2023: 10305-10321 - Kaiyan Zhang, Ning Ding, Biqing Qi, Xuekai Zhu, Xinwei Long, Bowen Zhou:
CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model. EMNLP 2023: 9612-9637 - Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta:
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. FAccT 2023: 1246-1266 - Qidan Zhu, Jing Li, Fei Yuan, Quan Gan:
Fully 2D Convolutional Network for Continuous Sign Language Recognition. FSDM 2023: 244-254 - Vadim Liventsev, Anastasiia Grishina, Aki Härmä, Leon Moonen:
Fully Autonomous Programming with Large Language Models. GECCO 2023: 1146-1155 - Ssu-Chi Kuai, Yun-Chien Lan, Wen-Hwa Liao:
Research on Full-text Recommendation System Based on Language Technology Applied In Library. ICCE-Taiwan 2023: 63-64 - Zexi Ji, Hanrui Wang, Miaorong Wang, Win-San Khwa, Meng-Fan Chang, Song Han, Anantha P. Chandrakasan:
A Fully-Integrated Energy-Scalable Transformer Accelerator Supporting Adaptive Model Configuration and Word Elimination for Language Understanding on Edge Devices. ISLPED 2023: 1-6 - Prawaal Sharma, Navneet Goyal, Poonam Goyal, Vishnupriyan R:
A fully automated and scalable Parallel Data Augmentation for Low Resource Languages using image and text analytics. SAC 2023: 358-361 - Abdullah AlHamdan, Cristian-Alexandru Staicu:
SandDriller: A Fully-Automated Approach for Testing Language-Based JavaScript Sandboxes. USENIX Security Symposium 2023: 3457-3474 - Xianghui Sun, Yunjie Ji, Baochang Ma, Xiangang Li:
A Comparative Study between Full-Parameter and LoRA-based Fine-Tuning on Chinese Instruction Data for Instruction Following Large Language Model. CoRR abs/2304.08109 (2023) - Vadim Liventsev, Anastasiia Grishina, Aki Härmä, Leon Moonen:
Fully Autonomous Programming with Large Language Models. CoRR abs/2304.10423 (2023) - Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta:
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. CoRR abs/2305.09941 (2023) - Kai Lv, Yuqing Yang, Tengxiao Liu, Qinghui Gao, Qipeng Guo, Xipeng Qiu:
Full Parameter Fine-tuning for Large Language Models with Limited Resources. CoRR abs/2306.09782 (2023) - Rui Zhang, Yixin Su, Bayu Distiawan Trisedya, Xiaoyan Zhao, Min Yang, Hong Cheng, Jianzhong Qi:
AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models. CoRR abs/2307.11772 (2023) - Kaiyan Zhang, Ning Ding, Biqing Qi, Xuekai Zhu, Xinwei Long, Bowen Zhou:
CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model. CoRR abs/2310.15477 (2023) - Ting-Rui Chiang, Dani Yogatama:
The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining. CoRR abs/2310.16261 (2023) - Motonari Kambara, Komei Sugiura:
Fully Automated Task Management for Generation, Execution, and Evaluation: A Framework for Fetch-and-Carry Tasks with Natural Language Instructions in Continuous Space. CoRR abs/2311.04260 (2023) - Yuanhe Tian, Ruyi Gan, Yan Song, Jiaxing Zhang, Yongdong Zhang:
ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences. CoRR abs/2311.06025 (2023) - Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng:
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. CoRR abs/2312.06353 (2023) - Mirko Günther, Lars Schütze, Kilian Becher, Thorsten Strufe, Jerónimo Castrillón:
HElium: A Language and Compiler for Fully Homomorphic Encryption with Support for Proxy Re-Encryption. CoRR abs/2312.14250 (2023) - 2022
- Yao Du, Pan Xie, Mingye Wang, Xiaohui Hu, Zheng Zhao, Jiaqi Liu:
Full transformer network with masking future for word-level sign language recognition. Neurocomputing 500: 115-123 (2022) - Fei Wang, Chen Li, Chuan-wen Liu, Zhen Zeng, Ke Xu, Jin-xiu Wu:
An approach based on 1D fully convolutional network for continuous sign language recognition and labeling. Neural Comput. Appl. 34(20): 17921-17935 (2022) - Roberto Navigli, Rexhina Blloshmi, Abelardo Carlos Martinez Lorenzo:
BabelNet Meaning Representation: A Fully Semantic Formalism to Overcome Language Barriers. AAAI 2022: 12274-12279 - Necva Bölücü, Burcu Can:
Analysing Syntactic and Semantic Features in Pre-trained Language Models in a Fully Unsupervised Setting. ICON 2022: 19-31 - Subhadeep Dey, Abhilash Pal, Cyrine Chaabani, Oscar Koller:
Clean Text and Full-Body Transformer: Microsoft's Submission to the WMT22 Shared Task on Sign Language Translation. WMT 2022: 969-976
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