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Working on a cgo-free CUDA binding in Go for ML stuff Week 3 - open source [P]

Reddit r/MachineLearning · 2026-05-24

Developer shares progress on gocudrv, a cgo-free CUDA binding for Go, explaining thread affinity challenges and showing example code.

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#binding

Models Can Model, But Can't Bind: Structured Grounding in Text-to-Optimization

arXiv cs.LG · 2026-05-22 Cached

This paper introduces Text2Opt-Bench, a scalable benchmark for text-to-optimization, and identifies that LLMs struggle with 'binding' (grounding problem data) rather than 'modeling' (choosing optimization structure). The authors propose BIND, a simple inference-time method that externalizes numeric data, significantly improving accuracy across models.

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