A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Akshaj Gupta, Hwi Joo Park, Andrea Guzman, et al.
TART is a modular four-stage pipeline that transcribes guitar audio into tablature with string-fret assignments and expressive technique annotations, achieving state-of-the-art zero-shot results.
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Proposes a modular reinforcement learning architecture for nonlinear, nonstationary control tasks using multiple models.
Yimin Chen, Brian Fricke, Bo Shen, et al.
This paper introduces FDD-ON, a modular and extensible ontology for VAV HVAC systems that formally represents fault types, symptoms, impacts, and their causal relations to enable interoperable fault detection and diagnostics.
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OpenICL is an open-source framework that provides a modular and flexible interface for in-context learning research and practice.
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FlashRAG is a modular toolkit that provides a comprehensive framework for efficient retrieval-augmented generation research, supporting both LLMs and MLLMs.
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LightMem is a lightweight memory system for LLM agents that uses Small Language Models to modularize memory retrieval, writing, and long-term storage, improving efficiency and performance.
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This paper argues that AI agents will evolve into modular research infrastructure that reliably connects databases, theory, experiments, and feedback, rather than remaining hype-driven autonomous systems.
Brown Ebouky, A. Bartezzaghi, Mattia Rigotti
This paper shows that equipping LLMs with a small set of cognitive tools—modular reasoning operations executed by the LLM itself—significantly boosts mathematical reasoning performance, e.g., GPT-4.1 pass@1 on AIME2024 rises from 32% to 53%.
Kai Olav Ellefsen, Jean-Baptiste Mouret, Jeff Clune
This paper shows that evolving modular neural networks with connection costs reduces catastrophic forgetting, enabling faster learning of new skills while retaining old ones.
Yu Wang, Xi Chen
MIRIX is a modular multi-agent memory system that enables LLM-based agents to overcome critical memory limitations.