AINeutralarXiv – CS AI · 5h ago6/10
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EASE-TTT: Evidence-Aligned Selective Test-Time Training for Long-Context Question Answering
Researchers present EASE-TTT, a novel framework combining within-context retrieval with test-time adaptation to improve long-context question answering in smaller language models. The method identifies evidence chunks and converts them into soft attention supervision targets, allowing models to focus on relevant information while processing the full context, outperforming existing retrieval-only and generic adaptation baselines.