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cs.AI2026
When to Rethink: Learning Multi-Perspective Self-Verification for Vision-Language Models
Ziquan Zhu, Hanruo Zhu, Si-Yuan Lu +10
Vision-language models (VLMs) have achieved strong performance in multimodal reasoning, yet they remain prone to generating plausible but incorrect answers. Self-verification offer…
cs.CL2026
Stacked from One: Multi-Scale Self-Injection for Context Window Extension
Wei Han, Pan Zhou, Soujanya Poria +1
The limited context window of contemporary large language models (LLMs) remains a primary bottleneck for their broader application across diverse domains. Although continual pre-tr…