256 citations · 280 across the 16 of their papers we have counts for
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cs.CL2025
MetaScale: Test-Time Scaling with Evolving Meta-Thoughts
Qin Liu, Wenxuan Zhou, Nan Xu +5
One critical challenge for large language models (LLMs) for making complex reasoning is their reliance on matching reasoning patterns from training data, instead of proactively sel…
cs.LG2025★ 1 cited
A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models
Zihao Lin, Samyadeep Basu, Mohammad Beigi +18
The rise of foundation models has transformed machine learning research, prompting efforts to uncover their inner workings and develop more efficient and reliable applications for…
cs.CR2025
VLM-Guard: Safeguarding Vision-Language Models via Fulfilling Safety Alignment Gap
Qin Liu, Fei Wang, Chaowei Xiao +1
The emergence of vision language models (VLMs) comes with increased safety concerns, as the incorporation of multiple modalities heightens vulnerability to attacks. Although VLMs c…