1 citations · 1 across the 9 of their papers we have counts for
Showing 2026 · cs.AIShow all
3 papers · 2 filters
cs.AI2026
ASCII Attack: Recontextualising Harmful Requests as Artistic Critique in Large Language Models
Da Cheng Gu, Yifei Dong, Xinghao Yang +2
Safety alignment trains large language models to refuse harmful requests stated plainly, but that training is applied mostly to surface form. Requests that only recontextualise the…
cs.AI2026
Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models
Wei Liu, Peijie Yu, Michele Orini +2
The agency expected of Agentic Large Language Models goes beyond answering correctly, requiring autonomy to set goals and decide what to explore. We term this investigatory intelli…
cs.AI2026
Are We Evaluating the Edit Locality of LLM Model Editing Properly?
Wei Liu, Haomei Xu, Hongkai Liu +5
Model editing has recently emerged as a popular paradigm for efficiently updating knowledge in LLMs. A central desideratum of updating knowledge is to balance editing efficacy, i.e…