2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Voltic: Distinguishing Volatility from Stochasticity in Recurrent Memory
Parsa Hejabi, Morteza Dehghani, Payam Piray
Recurrent sequence models must decide how strongly to overwrite their memory at each token. Read as Bayesian filtering, this write is the gain of a Kalman update, set by uncertaint…
cs.AI2026
Not all uncertainty is alike: volatility, stochasticity, and exploration
Payam Piray
Adaptive decision-making in biological and artificial intelligence requires balancing the exploitation of known outcomes with the exploration of uncertain alternatives. Although pr…
cs.CL2025★ 2 cited
Reasoning on a Spectrum: Aligning LLMs to System 1 and System 2 Thinking
Alireza S. Ziabari, Nona Ghazizadeh, Zhivar Sourati +3
Large Language Models (LLMs) exhibit impressive reasoning abilities, yet their reliance on structured step-by-step processing reveals a critical limitation. In contrast, human cogn…