MWE-ECL: Recoverable Long-Range Context Does Not Always Override Local Lexical Priors
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Computer Science > Computation and Language
arXiv:2609.27590 (cs)
[Submitted on 23 Sep 2026]
Title:MWE-ECL: Recoverable Long-Range Context Does Not Always Override Local Lexical Priors
View a PDF of the paper titled MWE-ECL: Recoverable Long-Range Context Does Not Always Override Local Lexical Priors, by Wei He and 3 other authors
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Abstract:Long-context evaluations often test whether a model can recover distant evidence, but recoverability does not guarantee behavioral influence. We test the prediction that a distant discourse anchor can remain explicitly recoverable yet fail to change the locally preferred reading of a familiar multiword expression; such failures should concentrate when the model's no-anchor default conflicts with the anchor, while prior-correct decisions remain largely preserved. We introduce Multiword Expression Effective Context Length (MWE-ECL), a bilingual diagnostic whose matched anchor-retrieval, no-anchor prior, and interpretation prompts measure explicit recoverability, model-observed defaults, and anchor-conditioned decisions, respectively. Across eight English deployment panels on a shared 0-128K grid, retrieval-control accuracy on prior-conflict items is 0.989-1.000, prior-conflict override spans 0.806-1.000 (0.809-1.000 after conditioning on correct retrieval), and preservation of prior-correct decisions remains 0.977-1.000. A same-call control querying retrieval and interpretation in one prompt reproduces the gap for DeepSeek V4 Pro (1.000 retrieval versus 0.900-0.920 interpretation), showing that separate invocations are not its sole explanation; smaller or absent gaps in the other two models bound its generality. For DeepSeek V4 Flash, separate prompt-fit tests retain perfect retrieval with lower interpretation at 512K and 1M, while foil-consistent cues shift the no-anchor prior far more than retrieval; cross-model cue effects are heterogeneous. A separately reported 10-family Chinese subset shows similar descriptive gaps, but imperfect retrieval for some models prevents an integration-only attribution. MWE-ECL therefore evaluates whether explicitly recoverable distant context changes a competing local semantic decision.
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2609.27590 [cs.CL] |
| (or arXiv:2609.27590v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2609.27590
arXiv-issued DOI via DataCite (pending registration)
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View a PDF of the paper titled MWE-ECL: Recoverable Long-Range Context Does Not Always Override Local Lexical Priors, by Wei He and 3 other authors
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