Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? | Paper Citation Record

Observation 11910fa9-c2e9-4b49-bb65-621ce3c834e1 · outbound

This paper cites Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education

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This paper cites Classification Problem Solving.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Classification Problem Solving

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? , title =

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This paper cites New Ways to Make Microcircuits Smaller---Duplicate Entry.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? New Ways to Make Microcircuits Smaller---Duplicate Entry

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This paper cites Clancey and Glenn Rennels , abstract =.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Clancey and Glenn Rennels , abstract =

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? and Rennels, Glenn R

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Poligon: A System for Parallel Problem Solving

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This paper cites Transfer of Rule-Based Expertise through a Tutorial Dialogue.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Transfer of Rule-Based Expertise through a Tutorial Dialogue

Reference 8

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This paper cites The Engineering of Qualitative Models.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? The Engineering of Qualitative Models

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This paper cites 2023 , eprint=.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? 2023 , eprint=

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This paper cites Pluto: The 'Other' Red Planet.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Pluto: The 'Other' Red Planet

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? and Hu, William and R

Reference 12

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? 2025 , doi =

Reference 13

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? 2018 , school=

Reference 14

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This paper cites Proceedings of the 42Nd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages , pages=.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Proceedings of the 42Nd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages , pages=

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This paper cites The 18th international workshop on compilers for parallel computing (CPC'15) , year=.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? The 18th international workshop on compilers for parallel computing (CPC'15) , year=

Reference 16

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? 2015 IEEE Security and Privacy Workshops , pages=

Reference 17

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? 2026 , month = jun, type =

Reference 18

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This paper cites arXiv preprint arXiv:2508.16690 , year=.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? arXiv preprint arXiv:2508.16690 , year=

Reference 19

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This paper cites International Journal of Research Publication and Reviews , year =.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? International Journal of Research Publication and Reviews , year =

Reference 20

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? 2020 , publisher=

Reference 21

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This paper cites Advances in Neural Information Processing Systems , volume=.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Advances in Neural Information Processing Systems , volume=

Reference 22

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This paper cites arXiv preprint arXiv:2406.06095 , year=.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? arXiv preprint arXiv:2406.06095 , year=

Reference 23

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? European MPI Users' Group Meeting , pages=

Reference 24

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? 2005 , publisher=

Reference 25

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? 2019 , publisher=

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This paper cites VecTrans: Enhancing Compiler Auto-Vectorization through LLM-Assisted Code Transformations.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? VecTrans: Enhancing Compiler Auto-Vectorization through LLM-Assisted Code Transformations

Reference 27

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This paper cites Addendum to the proceedings on Object-oriented programming systems, languages and applications (Addendum) , pages=.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Addendum to the proceedings on Object-oriented programming systems, languages and applications (Addendum) , pages=

Reference 28

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This paper cites Advances in Engineering Software (1978) , volume=.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Advances in Engineering Software (1978) , volume=

Reference 29

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? ACM Computing Surveys , volume =

Reference 30

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation , year =

Reference 31

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? MLIR: Scaling Compiler Infrastructure for Domain Specific Computation , year=

Reference 32

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This paper cites Proceedings of the ACM SIGPLAN 2008 Conference on Programming Language Design and Implementation (PLDI 08), Tucson, AZ (June 2008).

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Proceedings of the ACM SIGPLAN 2008 Conference on Programming Language Design and Implementation (PLDI 08), Tucson, AZ (June 2008)

Reference 33

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? 2025 , url =

Reference 34

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? 2013 , institution=

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Computer physics communications , volume=

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? 2013 , institution=

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Concurrency and Computation: Practice and Experience , volume=

Reference 38

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Proceedings of the 2024 IEEE/ACM International Workshop on Performance, Portability and Productivity in HPC (P3HPC) , year =

Reference 39

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? The Role of Reactor Physics toward a Sustainable Future (PHYSOR) , year=

Reference 40

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Proceedings of the ACM SIGPLAN 2000 conference on Programming language design and implementation , pages=

Reference 41

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? MLGO: a Machine Learning Guided Compiler Optimizations Framework

Reference 47

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? 2022 IEEE/ACM International Symposium on Code Generation and Optimization (CGO) , pages=

Reference 48

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Compiler generated feedback for Large Language Models

Reference 49

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Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? LLM Compiler: Foundation Language Models for Compiler Optimization , booktitle =

Reference 50

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This paper cites ACM Computing Surveys , volume=.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? ACM Computing Surveys , volume=

Reference 51

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This paper cites Blelloch , title =.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Blelloch , title =

Reference 52

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This paper cites 2017 IEEE/ACM International Symposium on Code Generation and Optimization (CGO) , pages=.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? 2017 IEEE/ACM International Symposium on Code Generation and Optimization (CGO) , pages=

Reference 53

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This paper cites Can Large Language Models Understand Intermediate Representations in Compilers?.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Can Large Language Models Understand Intermediate Representations in Compilers?

Reference 54

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This paper cites IEEE transactions on software engineering , volume=.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? IEEE transactions on software engineering , volume=

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:38:11.784474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3f1fc6b5-7fc9-4f4a-87d5-9086a7251a61 · outbound

This paper cites Souper: A Synthesizing Superoptimizer.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Souper: A Synthesizing Superoptimizer

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T04:38:11.256082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8945d5ab-07d7-4974-8008-dceac1bde031 · outbound

This paper cites Minotaur: A SIMD-Oriented Synthesizing Superoptimizer.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Minotaur: A SIMD-Oriented Synthesizing Superoptimizer

Reference 57

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T04:38:11.380906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 725aecc1-2e4c-4d63-b08d-34f51c5f7949 · outbound

This paper cites Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation , pages=.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation , pages=

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:38:11.769393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bc1397dc-cee3-4bc6-b107-2633f2eb3bfb · outbound

This paper cites Proceedings of the 27th international conference on compiler construction , pages=.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Proceedings of the 27th international conference on compiler construction , pages=

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:38:11.753579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3a6dac6e-e9a2-4e32-9619-d309abde0eb8 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2026 , pages=.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Findings of the Association for Computational Linguistics: ACL 2026 , pages=

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:38:11.737604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 90da18dd-1881-4c49-83ef-290947fc8e03 · outbound

This paper cites and Adve, V.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? and Adve, V

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:38:11.722774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4e5d7e08-2572-4429-a8ec-6c68e17a6d00 · outbound

This paper cites Proceedings of the 30th ACM SIGPLAN Conference on Programming Language Design and Implementation , pages=.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Proceedings of the 30th ACM SIGPLAN Conference on Programming Language Design and Implementation , pages=

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:38:11.707680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cd95cba4-552f-4e8f-9590-8fef3b6a761c · outbound

This paper cites MLIR: A Compiler Infrastructure for the End of Moore's Law.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T04:38:11.287018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers