2 papers
cs.AI2026
When Models Outthink Their Safety: Unveiling and Mitigating Self-Jailbreak in Large Reasoning Models
Yingzhi Mao, Chunkang Zhang, Junxiang Wang +6
Large Reasoning Models (LRMs) achieve strong performance on complex multi-step reasoning, yet they still exhibit severe safety failures such as harmful content generation. Existing…
cs.AI2025
Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression
Te Zhang, Yuheng Li, Junxiang Wang +1
Large multimodal models (LMMs) have advanced significantly by integrating visual encoders with extensive language models, enabling robust reasoning capabilities. However, compressi…