3 papers
cs.CV2026
FreeGraftor: Training-Free Cross-Image Feature Grafting for Subject-Driven Text-to-Image Generation
Zebin Yao, Lei Ren, Huixing Jiang +4
Subject-driven image generation aims to synthesize novel scenes that faithfully preserve subject identity from reference images while adhering to textual guidance. However, existin…
cs.CL2025
Enhancing Complex Instruction Following for Large Language Models with Mixture-of-Contexts Fine-tuning
Yuheng Lu, ZiMeng Bai, Caixia Yuan +2
Large language models (LLMs) exhibit remarkable capabilities in handling natural language tasks; however, they may struggle to consistently follow complex instructions including th…
cs.CL2025
Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models
Yuheng Lu, Bingshuo Qian, Caixia Yuan +2
Large language models (LLMs) exhibit remarkable capabilities in natural language processing but face catastrophic forgetting when learning new tasks, where adaptation to a new doma…