3 papers
cs.AI2026
OS-Pruner: Pruning Chains-of-Thought of Reasoning Models via Optimal Stopping
Mohammed Ehab, Aymane El Gadarri, Vivek F. Farias +2
Large Language Models (LLMs) have achieved remarkable success in complex reasoning tasks through Chain-of-Thought (CoT) prompting. However, these models often exhibit "computationa…
cs.LG2026
The Value of Covariance Matching in Gaussian DDPMs and the Lanczos Sampler
Md Sahil Akhtar, Aymane El Gadarri, Vivek F. Farias +1
A central error measure in Gaussian DDPMs is the path-space KL divergence between the exact reverse chain and the learned Gaussian reverse process. This quantity is especially rele…
cs.AI2025
The Sign Estimator: LLM Alignment in the Face of Choice Heterogeneity
Ali Aouad, Aymane El Gadarri, Vivek F. Farias
Traditional LLM alignment methods are vulnerable to heterogeneity in human preferences. Fitting a naïve probabilistic model to pairwise comparison data (say over prompt-completion…