6 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Scaffolding Minds: Optimizing Latent Visual Target Representations for Multimodal Reasoning
Haoqiang Kang, Yinpeng Chen, Luyang Liu +5
Latent reasoning has advanced multimodal reasoning through a two-stage training paradigm: (1) a helper image is encoded into latent tokens to teach visual chain-of-thought during a…
cs.CL2024★ 4 cited
Higher Layers Need More LoRA Experts
Chongyang Gao, Kezhen Chen, Jinmeng Rao +7
Parameter-efficient tuning (PEFT) techniques like low-rank adaptation (LoRA) offer training efficiency on Large Language Models, but their impact on model performance remains limit…
cs.CV2023★ 6 cited
Evaluation and Enhancement of Semantic Grounding in Large Vision-Language Models
Jiaying Lu, Jinmeng Rao, Kezhen Chen +5
Large Vision-Language Models (LVLMs) offer remarkable benefits for a variety of vision-language tasks. However, a challenge hindering their application in real-world scenarios, par…