arXiv AI June 15, 2026 By Amir H. Ashouri, Shayan Shirahmad Gale Bagi, Kavin Satheeskumar, Tejas Srikanth, Jonathan Zhao, Ibrahim Saidoun, Ziwen Wang, Bryan Chan, Tomasz S. Czajkowski

Protean Compiler: An Agile Framework to Drive Fine-grain Phase Ordering

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arXiv:2602. 06142v3 Announce Type: replace-cross Abstract: The phase ordering problem has been a long-standing challenge since the late 1970s, yet it remains an open problem due to having a vast optimization space and an unbounded nature, making it an open-ended problem without a finite solution, one can limit the scope by reducing the number and the length of optimizations.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

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SuperCoder: Assembly Program Superoptimization with Large Language Models

arXiv:2505. 11480v4 Announce Type: replace-cross Abstract: Superoptimization is the task of transforming a program into a faster one, and ideally the very fastest possible one, while preserving its input-output behavior.

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CodegenBench: Can LLMs Write Efficient Code Across Architectures?

arXiv:2606. 04023v1 Announce Type: cross Abstract: While large language models (LLMs) have been extensively evaluated on code generation tasks for general-purpose programming and GPU-accelerated environments (e.

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arXiv Machine Learning

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ASAP: Agent-System Co-Design for Wall-Clock-Centered Auto HPO Research for ML Experiments

arXiv:2606. 25207v1 Announce Type: new Abstract: Hyperparameter Optimization (HPO) is essential for maximizing machine learning model performance, and its core challenge is sample efficiency: finding strong configurations within a limited budget.

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KForge: LLM-Driven Cross-Platform Kernel Generation for AI Accelerators

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arXiv AI

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Agentic Harness for Real-World Compilers

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SMART: When is it Actually Worth Expanding a Speculative Tree?

arXiv:2604. 09731v2 Announce Type: replace-cross Abstract: Tree-based speculative decoding accelerates autoregressive generation by verifying a branching tree of draft tokens in a single target-model forward pass.

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SuperCoder: Assembly Program Superoptimization with Large Language Models

CodegenBench: Can LLMs Write Efficient Code Across Architectures?

ASAP: Agent-System Co-Design for Wall-Clock-Centered Auto HPO Research for ML Experiments

KForge: LLM-Driven Cross-Platform Kernel Generation for AI Accelerators

Agentic Harness for Real-World Compilers

SMART: When is it Actually Worth Expanding a Speculative Tree?