A sound judgment applies the law to established facts and weighs the circumstances in which they arose. However, existing methods swing between rigid statute matching and ungrounded discretion, benchmarks score a label or a rubric, and the experience that would supply the balance stays unverified. We formalize legal ju...
Zheng-Kai Tu, Ming-Da Zhang, Zi-Jia Wang et al.· 0 citations
Recursive self-improvement (RSI) lets a system improve from its own outcomes; in LLM-based multi-agent systems, Agents refine one another within a task, and outcomes improve how they collaborate across tasks. However, existing multi-agent collaboration leaves this loop open: collaboration is pre-defined at the operator...
Xiao Huang, Ming-Da Zhang, Jun-Ming Zhang et al.· 0 citations
Large language models can solve increasingly diverse reasoning tasks, yet their performance remains highly sensitive to task prompts, intermediate instructions, and the way reusable problem-solving knowledge is incorporated. Existing optimization methods usually focus on only one part of this design space: they either...
Hao-Ran Shou, Hao-Yue Liu, Yun-Chen Huo et al.· 0 citations
Existing jailbreaks against aligned LLMs are discrete artifacts whose surface forms are easy to fingerprint and patch. We argue that the broader failure mode may lie not in any specific prompt, but in natural writing registers that safety tuning under-covers. Building on this insight, we introduce VAR, the first jailbr...
Zhongze Luo, Rui-He Shi, Zhenshuai Yin et al.· 0 citations
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