| 2024-05-27 | Vision-Enabled Large Language and Deep Learning Models for Image-Based Emotion Recognition | Cognitive Computation | Mohammad Nadeem, Shahab Saquib Sohail, Laeeba Javed et al. | 39 | cites it |
| 2025-08-09 | LoRA dropout as a sparsity regularizer for overfitting reduction | Knowledge-Based Systems | Yang Lin, Xinyu Ma, Xu Chu et al. | 19 | cites it |
| 2024-04-10 | ChatGPT for GTFS: benchmarking LLMs on GTFS semantics... and retrieval | Public Transport | Saipraneeth Devunuri, Shirin Qiam, Lewis Lehe | 13 | cites it |
| 2026-09-25 | Parameter-Efficient Fine-Tuning for Foundation Models | International Journal of Computer Vision | Dan Zhang, Tao Feng, Lilong Xue et al. | 7 | cites it |
| 2025-02-25 | Multi-objective math problem generation using large language model through an adaptive multi-level retrieval augmentation framework | Information Fusion | Jianwen Sun, Wangzi Shi, Xiaoxuan Shen et al. | 6 | cites it |
| 2025-06-20 | The future of open human feedback | Nature Machine Intelligence | Shachar Don-Yehiya, Ben Burtenshaw, Ramon Fernandez Astudillo et al. | 5 | cites it |
| 2025-08-12 | Reasoning elicitation and multi-granularity contrastive learning for text-rich image understanding in large vision-language models | Pattern Recognition | Jiazhi Xia, Xiangyu Zhu, Bingchuan Jiang et al. | 5 | cites it |
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| 2025-08-22 | Pay more attention to the robustness of LLMs on adversarial prompt for instruction data mining | Neural Networks | Qiang Wang, Dawei Feng, Xu Zhang et al. | 1 | cites it |
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| 2025-10-19 | Addressing task conflicts in LLMs multi-task fine-tuning with task-specific subnetwork refinement | Machine Learning | Yiqun Wang, Chaoqun Wan, Xiang Tian et al. | 0 | cites it |
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| 2026-03-22 | Self-bootstrapping automated program repair: using LLMs to generate and evaluate synthetic training data for bug repair | Expert Systems with Applications | David de-Fitero-Dominguez, Antonio García‐Cabot, Eva García‐López | 0 | cites it |
| 2026-06-11 | Semantic-aware pruning of large language models via neuron importance explanation | Expert Systems with Applications | Yang Ji, Ying Sun, Jin Li et al. | 0 | cites it |
| 2026-06-25 | ResVaRe: Parameter-efficient fine-tuning for large language models via cross-layer residual vector adaptation and representation editing | Neural Networks | Yue Wang, YingJie Li, Yue Wang | 0 | cites it |