Conference
Jul 2026
AdaptiReason: Adaptive Chain-of-Thought Compression for Efficient Large Language Model Inference
Large Language Models (LLMs) trained using Chain-of-Thought (CoT) supervision have achieved state-of-the-art performance on complex reasoning tasks. However, the generation of long reasoning chains introduces substantial computational overhead during inference, limiting their deployment in low-latency and resource-cons...
V. A, Mithaguru, Amrita Kundu et al.
· 2026 4th International Confe... · 0 citations