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cs.CL2026
Accelerating Long-Context Decoding in Large-Scale Hybrid LLMs Without Retraining
João Eduardo Batista, Emil Vatai, Mohamed Wahib
The full-attention layers of large language models (LLMs) make every generated token more expensive than the previous one, slowing models down on long-context tasks. Hybrid models…
cs.CL2025
SAFE: Improving LLM Systems using Sentence-Level In-generation Attribution
João Eduardo Batista, Emil Vatai, Mohamed Wahib
Large Language Models (LLMs) are increasingly applied in various science domains, yet their broader adoption remains constrained by a critical challenge: the lack of trustworthy, v…