大模型对齐与安全

SpecAttn: Speculating Sparse Attention

Harsh Shah

机构 * Machine Learning Department（机器学习系） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

专题命中 其他安全 ：alignment(abstract)；分类 cs.CL、cs.LG

Comments Accepted to NeurIPS 2025 Workshop on Structured Probabilistic Inference & Generative Modeling

SC-LoRA: Balancing Efficient Fine-tuning and Knowledge Preservation via Subspace-Constrained LoRA

Minrui Luo, Fuhang Kuang, Yu Wang, Zirui Liu, Tianxing He

机构 * Shanghai Qi Zhi Institute（上海启智研究院） ； Institute for Interdisciplinary Information Sciences, Tsinghua University（清华大学交叉信息研究院） ； Institute of Information Engineering, Chinese Academy of Sciences（中国科学院信息工程研究所） ； Xiongan AI Institute（雄安人工智能研究院） 纠错

专题命中 其他安全 ：safety(abstract)；分类 cs.AI、cs.LG

Mitigating Semantic Collapse in Partially Relevant Video Retrieval

WonJun Moon, MinSeok Jung, Gilhan Park, Tae-Young Kim, Cheol-Ho Cho, Woojin Jun, Jae-Pil Heo

专题命中 其他安全 ：alignment(abstract)；分类 cs.AI

Comments Accpeted to NeurIPS 2025. Code is available at https://github.com/admins97/MSC_PRVR

Trends and Challenges in Next-Generation GNSS Interference Management

Leatile Marata, Mariona Jaramillo-Civill, Tales Imbiriba, Petri Välisuo, Heidi Kuusniemi, Elena Simona Lohan, Pau Closas

专题命中 其他安全 ：safety(abstract)

Comments Submitted to AESM

Approximate Fiber Products of Schemes and Their Étale Homotopical Invariants

Dongfang Zhao

专题命中 其他安全 ：alignment(abstract)

Comments Several experts pointed out technical flaws of this work, for example the incorrect notations being used in Section 3 and the weak connection to the claim LLM applications in Section 1. We think it is best to be withdrawn at this point so that readers will not be misled

LLM-Guided Scenario-based GUI Testing

Shengcheng Yu, Yuchen Ling, Chunrong Fang, Quan Zhou, Yi Zhao, Chunyang Chen, Shaomin Zhu, Zhenyu Chen

专题命中 其他安全 ：alignment(abstract)