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Author

Karmendra Pandey

21 papers indexed here

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#artificial intelligence Open access Oct 2026

PREreview of "Routing Should Pay for Itself: Sparse Supervision for Economical LLM Routing"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23147109. ## Summary Routing evaluations start the clock too late: they measure serving-time savings but ignore the upfront supervision cost — up to N×M query–model executions befor...

Karmendra Pandey · 0 citations
#artificial intelligence Open access Oct 2026

PREreview of "Routing Should Pay for Itself: Sparse Supervision for Economical LLM Routing"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23147109. ## Summary Routing evaluations start the clock too late: they measure serving-time savings but ignore the upfront supervision cost — up to N×M query–model executions befor...

Karmendra Pandey · 0 citations
#artificial intelligence Open access Oct 2026

PREreview of "You Cannot Pick a Provider From the Price List: Market-Aware Routing for Open-Weight LLM Inference"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23147092. ## Summary This paper identifies a genuinely under-appreciated routing axis: after a model router picks Llama-3.3-70B, the client must still choose *which provider serves...

Karmendra Pandey · 0 citations
#artificial intelligence Open access Oct 2026

PREreview of "You Cannot Pick a Provider From the Price List: Market-Aware Routing for Open-Weight LLM Inference"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23147092. ## Summary This paper identifies a genuinely under-appreciated routing axis: after a model router picks Llama-3.3-70B, the client must still choose *which provider serves...

Karmendra Pandey · 0 citations
#artificial intelligence Open access Oct 2026

PREreview of "You Cannot Pick a Provider From the Price List: Market-Aware Routing for Open-Weight LLM Inference"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23147062. ## Summary This paper identifies a genuinely under-appreciated routing axis: after a model router picks Llama-3.3-70B, the client must still choose *which provider serves...

Karmendra Pandey · 0 citations
#artificial intelligence Open access Oct 2026

PREreview of "When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23128096. Summary This paper studies a problem that production ML teams feel but the literature mostly ignores: drift detectors are evaluated on detection accuracy under synthetic,...

Karmendra Pandey · 0 citations
#artificial intelligence Open access Oct 2026

PREreview of "When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23128096. Summary This paper studies a problem that production ML teams feel but the literature mostly ignores: drift detectors are evaluated on detection accuracy under synthetic,...

Karmendra Pandey · 0 citations
#small language model Open access Oct 2026

PREreview of "RepoRescue: An Empirical Study of LLM Agents on Whole-Repository Compatibility Rescue"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23111062. Summary This paper introduces compatibility rescue: adapting a repository that demonstrably worked in its historical environment but fails after runtime/dependency drift (...

Karmendra Pandey · 0 citations
#small language model Open access Oct 2026

PREreview of "RepoRescue: An Empirical Study of LLM Agents on Whole-Repository Compatibility Rescue"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23111062. Summary This paper introduces compatibility rescue: adapting a repository that demonstrably worked in its historical environment but fails after runtime/dependency drift (...

Karmendra Pandey · 0 citations

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