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cs.AI2025
A*-Decoding: Token-Efficient Inference Scaling
Giannis Chatziveroglou
Inference-time scaling has emerged as a powerful alternative to parameter scaling for improving language model performance on complex reasoning tasks. While existing methods have s…
cs.AI2025★ 1 cited
Exploring LLM Reasoning Through Controlled Prompt Variations
Giannis Chatziveroglou, Richard Yun, Maura Kelleher
This study investigates the reasoning robustness of large language models (LLMs) on mathematical problem-solving tasks under systematically introduced input perturbations. Using th…