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Publication search results
found 408 matches
- 2024
- Rahman S. M. Wahidur, Ishmam Tashdeed, Manjit Kaur, Heung-No Lee:
Enhancing Zero-Shot Crypto Sentiment With Fine-Tuned Language Model and Prompt Engineering. IEEE Access 12: 10146-10159 (2024) - Ranjeet B. Kagade, N. Vijayaraj:
Intrusion detection via optimal tuned LSTM model with trust and risk level evaluation. Int. J. Bio Inspired Comput. 23(1): 39-52 (2024) - R. Dineshkumar, Anna Alphy, Kalaivanan Chinnanan, K. Bashkaran, Pattanaik Balachandra, Logeswaran Thangamuthu, K. Saranya, Ganeshkumar Deivasikamani, Johny Renoald Albert:
A novel hyperparameter tuned deep learning model for power quality disturbance prediction in microgrids with attention based feature learning mechanism. J. Intell. Fuzzy Syst. 46(1): 2911-2927 (2024) - Salmonn Talebi, Elizabeth Tong, Anna Li, Ghiam Yamin, Greg Zaharchuk, Mohammad R. K. Mofrad:
Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment. BMC Medical Informatics Decis. Mak. 24(1): 40 (2024) - Halit Bakir:
Evaluating the impact of tuned pre-trained architectures' feature maps on deep learning model performance for tomato disease detection. Multim. Tools Appl. 83(6): 18147-18168 (2024) - Jayaraman Seetha, Ramakrishnan Ramanathan, Vishal Goyal, M. Tholkapiyan, C. Karthikeyan, Ravi Kumar:
Mango leaf disease classification using hybrid Coyote-Grey Wolf optimization tuned neural network model. Multim. Tools Appl. 83(6): 17699-17725 (2024) - Jayaraman Seetha, Ramakrishnan Ramanathan, Vishal Goyal, M. Tholkapiyan, C. Karthikeyan, Ravi Kumar:
Correction: Mango leaf disease classification using hybrid Coyote-Grey Wolf optimization tuned neural network model. Multim. Tools Appl. 83(6): 17727 (2024) - Muhammad Shahid Iqbal Malik, Muhammad Zeeshan Younas, Mona Mamdouh Jamjoom, Dmitry I. Ignatov:
Categorization of tweets for damages: infrastructure and human damage assessment using fine-tuned BERT model. PeerJ Comput. Sci. 10: e1859 (2024) - W. David Null, William Edwards, Dohun Jeong, Teodor Tchalakov, James Menezes, Kris Hauser, Y Z:
Automatically-Tuned Model Predictive Control for an Underwater Soft Robot. IEEE Robotics Autom. Lett. 9(1): 571-578 (2024) - Qing Huang, Yanbang Sun, Zhenchang Xing, Min Yu, Xiwei Xu, Qinghua Lu:
API Entity and Relation Joint Extraction from Text via Dynamic Prompt-tuned Language Model. ACM Trans. Softw. Eng. Methodol. 33(1): 6:1-6:25 (2024) - Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Xin Peng, Xiwei Xu, Qinghua Lu:
FQN Inference in Partial Code by Prompt-tuned Language Model of Code. ACM Trans. Softw. Eng. Methodol. 33(2): 31:1-31:32 (2024) - Lei Shu, Liangchen Luo, Jayakumar Hoskere, Yun Zhu, Yinxiao Liu, Simon Tong, Jindong Chen, Lei Meng:
RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting. AAAI 2024: 18970-18980 - Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz:
Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability. AAAI 2024: 21037-21045 - Gaoge Han, Shaoli Huang, Mingming Gong, Jinglei Tang:
HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback. AAAI 2024: 2031-2039 - Gourab Dey, Adithya V. Ganesan, Yash Kumar Lal, Manal Shah, Shreyashee Sinha, Matthew Matero, Salvatore Giorgi, Vivek Kulkarni, H. Andrew Schwartz:
SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks. EACL (2) 2024: 454-468 - Sotiris Kotitsas, Panagiotis Kounoudis, Eleni Koutli, Haris Papageorgiou:
Leveraging fine-tuned Large Language Models with LoRA for Effective Claim, Claimer, and Claim Object Detection. EACL (1) 2024: 2540-2554 - Sayaka Mori, Tetsuya Suzuki:
Experimental Application of Semantic Segmentation Models Fine-Tuned with Synthesized Document Images to Text Line Segmentation in a Handwritten Japanese Historical Document. ICPRAM 2024: 826-832 - Chenyu Hou, Gaoxia Zhu, Juan Zheng, Lishan Zhang, Xiaoshan Huang, Tianlong Zhong, Shan Li, Hanxiang Du, Chin Lee Ker:
Prompt-based and Fine-tuned GPT Models for Context-Dependent and -Independent Deductive Coding in Social Annotation. LAK 2024: 518-528 - Julien Nicolas, Florent Chiaroni, Imtiaz Masud Ziko, Ola Ahmad, Christian Desrosiers, Jose Dolz:
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning. WACV 2024: 1751-1761 - Gabriel Lino Garcia, Pedro Henrique Paiola, Luis Henrique Morelli, Giovani Candido, Arnaldo Cândido Júnior, Danilo Samuel Jodas, Luis C. S. Afonso, Ivan Rizzo Guilherme, Bruno Elias Penteado, João Paulo Papa:
Introducing Bode: A Fine-Tuned Large Language Model for Portuguese Prompt-Based Task. CoRR abs/2401.02909 (2024) - Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka:
EpilepsyLLM: Domain-Specific Large Language Model Fine-tuned with Epilepsy Medical Knowledge. CoRR abs/2401.05908 (2024) - Richard Kimera, Daniela N. Rim, Joseph Kirabira, Ubong Godwin Udomah, Heeyoul Choi:
Enhanced Labeling Technique for Reddit Text and Fine-Tuned Longformer Models for Classifying Depression Severity in English and Luganda. CoRR abs/2401.14240 (2024) - Mai A. Shaaban, Abbas Akkasi, Adnan Khan, Majid Komeili, Mohammad Yaqub:
Fine-Tuned Large Language Models for Symptom Recognition from Spanish Clinical Text. CoRR abs/2401.15780 (2024) - Gourab Dey, Adithya V. Ganesan, Yash Kumar Lal, Manal Shah, Shreyashee Sinha, Matthew Matero, Salvatore Giorgi, Vivek Kulkarni, H. Andrew Schwartz:
SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks. CoRR abs/2402.01980 (2024) - Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, C. Lawrence Zitnick, Zachary W. Ulissi:
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text. CoRR abs/2402.04379 (2024) - Tiago Mendes-Neves, Luís Meireles, João Mendes-Moreira:
Estimating Player Performance in Different Contexts Using Fine-tuned Large Events Models. CoRR abs/2402.06815 (2024) - Rishabh Bhardwaj, Do Duc Anh, Soujanya Poria:
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic. CoRR abs/2402.11746 (2024) - Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. CoRR abs/2402.11889 (2024) - Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodriguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srinivasan Iyer:
Instruction-tuned Language Models are Better Knowledge Learners. CoRR abs/2402.12847 (2024) - Xinpeng Wang, Bolei Ma, Chengzhi Hu, Leon Weber-Genzel, Paul Röttger, Frauke Kreuter, Dirk Hovy, Barbara Plank:
"My Answer is C": First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models. CoRR abs/2402.14499 (2024)
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