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Publication search results
found 200 matches
- 2024
- Brij B. Gupta, Akshat Gaurav, Varsha Arya, Wadee Alhalabi, Dheyaaldin Alsalman, Pandi Vijayakumar:
Enhancing user prompt confidentiality in Large Language Models through advanced differential encryption. Comput. Electr. Eng. 116: 109215 (2024) - Md. Khairul Islam, Andrew Wang, Tianhao Wang, Yangfeng Ji, Judy Fox, Jieyu Zhao:
Does Differential Privacy Impact Bias in Pretrained Language Models? IEEE Data Eng. Bull. 47(2): 125-137 (2024) - Malyaban Bal, Abhronil Sengupta:
SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation. AAAI 2024: 10998-11006 - Stephen Meisenbacher, Maulik Chevli, Juraj Vladika, Florian Matthes:
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models. ACL (Findings) 2024: 9314-9328 - Lin Mu, Wenhao Zhang, Yiwen Zhang, Peiquan Jin:
DDPrompt: Differential Diversity Prompting in Large Language Models. ACL (Short Papers) 2024: 168-174 - Xunjian Yin, Xu Zhang, Jie Ruan, Xiaojun Wan:
Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation. ACL (1) 2024: 2270-2286 - Nicy Scaria, Suma Dharani Chenna, Deepak N. Subramani:
Automated Educational Question Generation at Different Bloom's Skill Levels Using Large Language Models: Strategies and Evaluation. AIED (2) 2024: 165-179 - Xin Sun, Yunjie Liu, Jan de Wit, Jos A. Bosch, Zhuying Li:
Trust by Interface: How Different User Interfaces Shape Human Trust in Health Information from Large Language Models. CHI Extended Abstracts 2024: 344:1-344:7 - Junwei Yu, Jieyu Zhou, Yepeng Ding, Lingfeng Zhang, Yuheng Guo, Hiroyuki Sato:
Textual Differential Privacy for Context-Aware Reasoning with Large Language Model. COMPSAC 2024: 988-997 - Lijie Hu, Ivan Habernal, Lei Shen, Di Wang:
Differentially Private Natural Language Models: Recent Advances and Future Directions. EACL (Findings) 2024: 478-499 - Michal Pluhacek, Jozef Kovác, Peter Janku, Tomas Kadavy, Roman Senkerik, Adam Viktorin:
A Critical Examination of Large Language Model Capabilities in Iteratively Refining Differential Evolution Algorithm. GECCO Companion 2024: 1855-1862 - Zejia Mi, Kangkang Li:
A Comparative Analysis of Different Large Language Models in Evaluating Student-Generated Questions. ICEIT 2024: 24-29 - Reza Esfandiarpoor, Stephen H. Bach:
Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification. ICLR 2024 - Guangyan Li, Yongqiang Tang, Wensheng Zhang:
LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models. ICML 2024 - Peihua Mai, Ran Yan, Zhe Huang, Youjia Yang, Yan Pang:
Split-and-Denoise: Protect large language model inference with local differential privacy. ICML 2024 - Zhenmei Shi, Junyi Wei, Zhuoyan Xu, Yingyu Liang:
Why Larger Language Models Do In-context Learning Differently? ICML 2024 - Jing Dong, Xudong Luo, Junlin Zhu:
A Comparative Study of Different Pre-trained Language Models for Sentiment Analysis of Human-Computer Negotiation Dialogue. KSEM (4) 2024: 301-317 - Aldo G. Carranza, Rezsa Farahani, Natalia Ponomareva, Alexey Kurakin, Matthew Jagielski, Milad Nasr:
Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models. NAACL-HLT 2024: 3920-3930 - James Flemings, Meisam Razaviyayn, Murali Annavaram:
Differentially Private Next-Token Prediction of Large Language Models. NAACL-HLT 2024: 4390-4404 - Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda:
The Future is Different: Predicting Reddits Popularity with Variational Dynamic Language Models. ECML/PKDD (1) 2024: 422-439 - Sanjari Srivastava, Piotr Mardziel, Zhikhun Zhang, Archana Ahlawat, Anupam Datta, John C. Mitchell:
De-amplifying Bias from Differential Privacy in Language Model Fine-tuning. CoRR abs/2402.04489 (2024) - Zhihao Liu, Jian Lou, Wenjie Bao, Yuke Hu, Bo Li, Zhan Qin, Kui Ren:
Differentially Private Zeroth-Order Methods for Scalable Large Language Model Finetuning. CoRR abs/2402.07818 (2024) - Xunjian Yin, Xu Zhang, Jie Ruan, Xiaojun Wan:
Benchmarking Knowledge Boundary for Large Language Model: A Different Perspective on Model Evaluation. CoRR abs/2402.11493 (2024) - Shihao Zhao, Shaozhe Hao, Bojia Zi, Huaizhe Xu, Kwan-Yee K. Wong:
Bridging Different Language Models and Generative Vision Models for Text-to-Image Generation. CoRR abs/2403.07860 (2024) - Jae Hun Ro, Srinadh Bhojanapalli, Zheng Xu, Yanxiang Zhang, Ananda Theertha Suresh:
Efficient Language Model Architectures for Differentially Private Federated Learning. CoRR abs/2403.08100 (2024) - Ahmed ElGazzar, Marcel van Gerven:
Universal Differential Equations as a Common Modeling Language for Neuroscience. CoRR abs/2403.14510 (2024) - James Flemings, Meisam Razaviyayn, Murali Annavaram:
Differentially Private Next-Token Prediction of Large Language Models. CoRR abs/2403.15638 (2024) - Mingyu Jin, Qinkai Yu, Jingyuan Huang, Qingcheng Zeng, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang:
Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers? CoRR abs/2404.07066 (2024) - Aarohi Srivastava, David Chiang:
We're Calling an Intervention: Taking a Closer Look at Language Model Adaptation to Different Types of Linguistic Variation. CoRR abs/2404.07304 (2024) - Guangyan Li, Yongqiang Tang, Wensheng Zhang:
LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models. CoRR abs/2404.09695 (2024)
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