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29 result(s) for “if can favor site code web de site developers mozilla org site transparency be site:arxiv.org” · 1112 ms
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Overall, the results indicate that functional correctness in code generation can be meaningfully improved without modifying the backbone architecture, by jointly optimizing how tasks are prompted, how the model is adapted, and how final outputs are selected
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https://arxiv.org/list/cs.SE/new
AI)
Large language models (LLMs) can translate natural-language optimization problems into solver-ready formulations, but direct code generation is brittle: schema, indexing, and semantic errors can cause compilation failures, infeasible models, or incorrect objectives, while iterative repair, search, and multi-agent
https://arxiv.org/list/cs.CR/new
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New submissions (showing 32 of 32 entries)
[1] arXiv:2608
https://arxiv.org/abs/2006.01251
For us, full transparency implies that we can compile, debug and run unmodified single-machine code over effectively unlimited compute, storage, and memory resources
https://arxiv.org/html/2607.26327v3
Declarations of interest: The author is Managing Director and Founder of Aegis Compliance and Strategies OÜ, a compliance and strategy advisory firm, and is preparing a practitioner book that draws on the framework developed here; both are disclosed in the interest of transparency
https://arxiv.org/html/2608.02971v1
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https://arxiv.org/html/2608.01366v2
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arXiv:2608
https://arxiv.org/list/cs.CV/new
CV)
Fine-grained wildlife classification in aerial imagery is limited not only by model performance, but also by unreliable labels: animals occupy few pixels, key visual cues vary seasonally, and modality-specific evidence can be ambiguous
https://arxiv.org/list/cs.SI/new
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New submissions (showing 4 of 4 entries)
[1] arXiv:2608
https://arxiv.org/html/2608.00785v1
These models can generate assessments at scale with reasonable human agreement 21; 22
https://arxiv.org/html/2607.28847v1
4 Research Question 2: Can Our Method Address Masked Inequality
https://arxiv.org/pdf/2508.11152
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https://arxiv.org/pdf/2609.18842
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https://arxiv.org/pdf/2006.02318
If defined, must be one of book, catalog, feed, journal, magazine, manual, newsletter, pamphlet
https://arxiv.org/pdf/2006.00064
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https://arxiv.org/pdf/2608.02694
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https://arxiv.org/src/2405.20232
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https://arxiv.org/src/2104.08691
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https://arxiv.org/pdf/2309.08431
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https://arxiv.org/src/2006.02924
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https://arxiv.org/list/cs.NA/new
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New submissions (showing 18 of 18 entries)
[1] arXiv:2608
https://arxiv.org/src/1910.03771
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https://arxiv.org/src/2006.03206
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https://arxiv.org/pdf/2608.03494
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https://arxiv.org/src/2006.00064
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https://arxiv.org/pdf/2608.02609
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https://arxiv.org/pdf/2407.01722
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https://arxiv.org/pdf/2506.01844
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient RoboticsMustafa ShukorDana AubakirovaFrancesco CapuanoPepijn KooijmansSteven PalmaAdil ZouitineMichel AractingiCaroline PascalMartino RussiAndres MarafiotiSimon
https://arxiv.org/pdf/2608.02872
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https://arxiv.org/pdf/2608.03118
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