Automating the Analysis and Improvement of Dynamic Programming Algorithms with Applications to Natural Language Processing
2026-03-17T08:52:05Z•347bc17846cf9955f30b745382745d716ec06230b5d1b08a09a1e52477401bfe
DynaHOL-LightHashMapJavaLLMLLM-orchestrationLipschitzMapReplayNormCodeadversarial-robustnessbenchmarkingcompiler-optimizationcryptographydynamic-programmingexam-generationfloating-pointformal-verificationneural-network-verificationprogram-transformationprompt-engineeringproof-synthesisquantum-programmingrobustness-certifications2n-bignumuncomputation
What happened
Collection of recent PL/ML papers from arXiv (Mar 17 2026) covering automated optimization of dynamic programming (Dyna / program transformations and search), realistic benchmarking for java.util.HashMap (MapReplay), a benchmark for machine-checked proof synthesis on an industrial cryptographic bignum library (s2n-bignum-bench / HOL Light), ChatGPT prompt-engineered exam generation, Lipschitz-based robustness certification that explicitly models floating-point execution (showing concrete counterexamples where real-arithmetic guarantees fail), a deployed case-based LLM orchestration system (Nom
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_pl
- Record identifier
- 347bc17846cf9955f30b745382745d716ec06230b5d1b08a09a1e52477401bfe
- Enrichment time
- 2026-03-17T08:52:05Z
- AI-assisted enrichment
- Yes
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