2 citations · 3 across the 2 of their papers we have counts for
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cs.AI2026
PORA: Learning When More Reasoning Pays Off for LLM Agents
Bo Yan, Qi Zhang, Zhen Tan +2
LLM agents perform tasks over multiple steps and revise their actions based on feedback. As the total reasoning budget is often limited and must support future steps, the agent mus…
cs.AI2024★ 2 cited
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI
Qi Huang, Emanuele Mezzi, Osman Mutlu +5
We introduce a novel metric for measuring semantic continuity in Explainable AI methods and machine learning models. We posit that for models to be truly interpretable and trustwor…