2 papers
cs.CV2026
Boosting Reasoning in Large Multimodal Models via Activation Replay
Yun Xing, Xiaobin Hu, Qingdong He +4
Recently, Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as an effective approach to incentivizing reasoning capability in Large Multimodal Models (LMMs), while…
cs.CV2026
Referring Multiple Regions with Large Multimodal Models via Contextual Latent Steering
Yun Xing, Hanyuan Liu, Jiahao Nie +1
Large Multimodal Models (LMMs) have recently demonstrated their proficiency in holistic visual comprehension. However, most of them struggle to tackle region-level perception guide…