3 papers
cs.CV2025
DaMo: Data Mixing Optimizer in Fine-tuning Multimodal LLMs for Mobile Phone Agents
Kai Shi, Jun Yang, Ni Yang +6
Mobile Phone Agents (MPAs) have emerged as a promising research direction due to their broad applicability across diverse scenarios. While Multimodal Large Language Models (MLLMs)…
cs.CL2025
ReviewInstruct: A Review-Driven Multi-Turn Conversations Generation Method for Large Language Models
Jiangxu Wu, Cong Wang, TianHuang Su +10
The effectiveness of large language models (LLMs) in conversational AI is hindered by their reliance on single-turn supervised fine-tuning (SFT) data, which limits contextual coher…
cs.AR2024
ChipExpert: The Open-Source Integrated-Circuit-Design-Specific Large Language Model
Ning Xu, Zhaoyang Zhang, Lei Qi +17
The field of integrated circuit (IC) design is highly specialized, presenting significant barriers to entry and research and development challenges. Although large language models…