Libretto is a new agent-facing symbolic music framework that equips LLMs with explicit grammar and corpus-calibrated statistical axes to enable measurable generation, gap-filling, morphing, and self-revision.
Composerx: Multi-agent symbolic music composition with llms
6 Pith papers cite this work. Polarity classification is still indexing.
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Text2Score turns text prompts into sheet music by having an LLM produce a bar-wise structural plan and a hierarchical decoder write ABC notation from that plan.
The paper introduces the Agentic Risk Standard (ARS) as a payment settlement framework that delivers predefined compensation for AI agent execution failures, misalignment, or unintended outcomes.
PASE is a neuro-symbolic self-healing system that synthesizes LLM recovery plans, verifies them in simulation, and uses DRL to optimize prompts, claiming over 40% faster recovery on cloud fault data.
A distilled multimodal diffusion model generates audio from text, video, or audio in four steps with claimed superior quality and ~25× fewer function evaluations.
A survey consolidating benchmarks, agent frameworks, real-world applications, and protocols for LLM-based autonomous agents into a proposed taxonomy with recommendations for future research.
citing papers explorer
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Libretto: Giving LLM Agents a Sense of Musical Structure
Libretto is a new agent-facing symbolic music framework that equips LLMs with explicit grammar and corpus-calibrated statistical axes to enable measurable generation, gap-filling, morphing, and self-revision.
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Text2Score: Generating Sheet Music From Textual Prompts
Text2Score turns text prompts into sheet music by having an LLM produce a bar-wise structural plan and a hierarchical decoder write ABC notation from that plan.
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Quantifying Trust: Financial Risk Management for Trustworthy AI Agents
The paper introduces the Agentic Risk Standard (ARS) as a payment settlement framework that delivers predefined compensation for AI agent execution failures, misalignment, or unintended outcomes.
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Safe and Adaptive Cloud Healing: Verifying LLM-Generated Recovery Plans with a Neural-Symbolic World Model
PASE is a neuro-symbolic self-healing system that synthesizes LLM recovery plans, verifies them in simulation, and uses DRL to optimize prompts, claiming over 40% faster recovery on cloud fault data.
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AudioX-Turbo: A Unified Framework for Efficient Anything-to-Audio Generation
A distilled multimodal diffusion model generates audio from text, video, or audio in four steps with claimed superior quality and ~25× fewer function evaluations.
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From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review
A survey consolidating benchmarks, agent frameworks, real-world applications, and protocols for LLM-based autonomous agents into a proposed taxonomy with recommendations for future research.