2026
NDAD: Negative-Direction Aware Decoding for Large Language Models via Controllable Hallucination Signal Injection
ICLR 2026poster
Large language models (LLMs) have recently achieved impressive progress in knowledge-intensive and reasoning tasks. However, their tendency to produce fabricated or factually inconsistent content remains a fundamental challenge to their practical deployment. To address this issue, we propose Negativ…