2026
Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting
ICML 2026poster
Large language models (LLMs) can be influenced by harmful or irrelevant context, which can significantly harm model performance on downstream tasks. This motivates principled designs in which LLM systems include built-in mechanisms to guard against such "garbage in, garbage out" scenarios. We propos…