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Asking For An Old Friend: Diagnosing and Mitigating Temporal Failure Modes in LLM-based Statutory Question Answering
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Research identifies two LLM temporal failure modes in statutory QA: post-cutoff staleness and recency bias across evolving legal rules.
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- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 28 September 2026
- Collected by OneBench
- 29 Sept 2026, 03:01 UK
Stored source excerpt
arXiv:2605.23497v2 Announce Type: replace Abstract: Large language models are increasingly used for legal research, yet their fixed training cutoffs and reliance on static parametric knowledge…
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