A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Aditya Bharat Soni, Boxuan Li, Xingyao Wang, et al.
OpenHands-Versa is a generalist agent using a minimal set of general tools—code editing/execution, web search, multimodal browsing, and file access—that outperforms specialized agents across SWE-Bench Multimodal, GAIA, and The Agent Company.
Liam Barkley, Brink van der Merwe
This paper empirically evaluates prompting strategies and tool-calling agents to reduce hallucinations in LLMs, finding that simpler techniques often outperform complex ones and that tool use can increase hallucination rates.
Unknown
A comprehensive review of protein language models, datasets, and tools with a curated GitHub repository of resources.
Shifu Chen, Yanqing Zhou, Yaru Chen, et al.
fastp is an ultra-fast all-in-one FASTQ preprocessor that performs quality control, adapter trimming, and filtering in a single scan, achieving 2-5x speedup over existing tools.
Unknown
This paper provides a comprehensive overview of federated learning, covering its strategies, applications, tools, and future directions.
Unknown
This paper surveys the paradigm shift in tool learning with foundation models, analyzing the roles of specialized tools and foundation models in problem-solving.
Unknown
Mcp-zero enables LLM agents to actively discover and integrate tools at runtime via the Model Context Protocol, moving beyond passive tool selection.
Pierre Singer, Eyal Robinson, Orit Raphaeli
This review describes how AI tools, including deep learning and machine learning, can enhance clinical nutrition through improved screening, assessment, and prediction of outcomes, while addressing ethical considerations.
Unknown
This paper analyzes 177,000 MCP tools to provide large-scale evidence on how AI agents are used and the new risks they introduce.
Yang Zhou, Zixuan Huang, Sunzhu Li, et al.
SpatialCLI teaches VLMs to reason with spatial tools and progressively internalize specialist perceptual capabilities, raising Qwen3-VL-8B-Instruct from 29.3% to 84.6% on MindCube.
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%.
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.