10 citations · 10 across the 1 of their papers we have counts for
4 papers
CoFiBreak: A Coarse-to-Fine Diversity Reward for Effective Multi-Turn Jailbreak
Jialin Song, Xiaodong Liu, Weiwei Yang +7
Automated red teaming trains an attacker large language model (LLM) to elicit harmful responses from a victim LLM, but reinforcement learning can collapse attackers onto a narrow s…
ShallowDefend: Harnessing Shallow Safety Alignment for Multi-Turn Defender
Qiyao Ma, Xiaodong Liu, Weiwei Yang +9
Safety alignment has enabled large language models to reliably refuse harmful requests directly, yet the same request distributed across a multi-turn conversation still succeeds fa…
Early warning of critical transitions: Distinguishing supercritical and subcritical bifurcations from noisy observations
Paul A. Sanders, Christian Kuehn, Bastian Hilder +1
Early-warning methods can indicate that a system is approaching a loss of stability, but they do not usually reveal whether the approaching bifurcation is supercritical or subcriti…
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels
Qi Chen, Xiubo Geng, Corby Rosset +28
Recent breakthroughs in large models have highlighted the critical significance of data scale, labels and modals. In this paper, we introduce MS MARCO Web Search, the first large-s…