RESEARCHMonitorWATCHLIST
Regime Boundary Alignment for Evidence-Gated Question Answering
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers find answer-focused fine-tuning causes retrieval-augmented models to guess unsupported answers, proposing a alignment method.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 30 September 2026
- Collected by OneBench
- 1 Oct 2026, 03:01 UK
- Original headline
- Regime Boundary Alignment for Evidence-Gated Question Answering ↗
Stored source excerpt
arXiv:2609.37491v1 Announce Type: new Abstract: Retrieval-augmented language models are expected to answer from the retrieved evidence, but in practice they often keep answering when that…
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