3 papers
cs.LG2026
Memory-Efficient Structured Backpropagation for On-Device LLM Fine-Tuning
Juneyoung Park, Yuri Hong, Seongwan Kim +1
On-device fine-tuning enables privacy-preserving personalization of large language models, but mobile devices impose severe memory constraints, typically 6--12GB shared across all…
cs.SE2025
Mastering the Craft of Data Synthesis for CodeLLMs
Meng Chen, Philip Arthur, Qianyu Feng +13
Large language models (LLMs) have shown impressive performance in \emph{code} understanding and generation, making coding tasks a key focus for researchers due to their practical a…
cs.CL2024
Exploiting the Index Gradients for Optimization-Based Jailbreaking on Large Language Models
Jiahui Li, Yongchang Hao, Haoyu Xu +2
Despite the advancements in training Large Language Models (LLMs) with alignment techniques to enhance the safety of generated content, these models remain susceptible to jailbreak…