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Languages:
English
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1K<n<10K
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Tags:
temporal-reasoning
knowledge-graph
question-answering
benchmark
retrieval-augmented-generation
DOI:
License:
Describe reference systems by architecture, not by system name
Browse files- v1.0.1-addendum.md +8 -9
v1.0.1-addendum.md
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@@ -31,15 +31,14 @@ the prompt, with no retrieval and no reasoning.
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**Evidence that the leak is exploited, not merely exploitable.** Reference
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systems with no retrieval at all (prompt is `<t={t_query}> {question}\nAnswer:`)
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score at or near 1.0 on the interval slice: a no-retrieval
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contaminated as well.
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**Evaluation-protocol fix.** Do not render `<t={t_query}>` (or otherwise expose
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`t_query`) for interval questions. Interval questions are self-contained: the
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**Evidence that the leak is exploited, not merely exploitable.** Reference
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systems with no retrieval at all (prompt is `<t={t_query}> {question}\nAnswer:`)
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score at or near 1.0 on the interval slice: a no-retrieval RL-tuned policy
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scores interval EM 1.000 against 0.364 overall, and a no-retrieval supervised
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baseline 0.994 against 0.305. On retrieval-conditioned reference systems,
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excluding the interval slice moves overall test EM by −0.014 and −0.011, and
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BM25 vanilla RAG from 0.138 to 0.113. The interval slice also posts the highest
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values on every retrieval-quality slice (TRP 0.376, CCR 0.920, and stale-blind
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CCR 0.773 where all other operators fall to 0.03–0.08), so per-operator
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retrieval comparisons involving interval are contaminated as well.
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**Evaluation-protocol fix.** Do not render `<t={t_query}>` (or otherwise expose
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`t_query`) for interval questions. Interval questions are self-contained: the
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