3 papers
cs.CV2026
LongSpace: Exploring Long-Horizon Spatial Memory from Perception to Recall in Video
Shiqiang Lang, Jing Liu, Haoyang He +6
Multimodal Large Language Models (MLLMs) have advanced image and video understanding and can increasingly handle longer visual inputs. Long-horizon tasks such as autonomous driving…
cs.CL2026
TTSR: Test-Time Self-Evolving via Reflection
Haoyang He, Zihua Rong, Yunjia Zhao +3
Test-time training (TTT) adapts large language models (LLMs) during inference using only unlabeled test inputs. Existing methods, however, face two major bottlenecks on hard reason…
cs.CV2025
V-Thinker: Interactive Thinking with Images
Runqi Qiao, Qiuna Tan, Minghan Yang +11
Empowering Large Multimodal Models (LMMs) to deeply integrate image interaction with long-horizon reasoning capabilities remains a long-standing challenge in this field. Recent adv…