A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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The paper proposes an LLM-driven symbolic planning combined with hierarchical imitation learning framework for long-horizon deformable object assembly tasks.
Akarsh Kumar, Ryan Bahlous-Boldi, Prafull Sharma, et al.
This paper introduces Digital Red Queen (DRQ), a simple self-play algorithm that uses LLMs to evolve assembly programs in Core War, demonstrating convergent evolution toward general strategies and suggesting minimal self-play for adversarial domains.
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HDFlow introduces a hierarchical diffusion-flow planning framework for long-horizon robotic assembly, leveraging a structured latent space to improve task decomposition and execution.
Krzysztof Czarnecki, Ulrich W. Eisenecker
This book introduces generative programming, a paradigm for automating software component assembly using domain engineering, feature modeling, and code generation.
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LLM Compiler is a suite of pre-trained models built on Code Llama for code optimization, including LLVM-IR assembly/disassembly and code size reduction.